A control data compiling method for superconducting chip

Abstract

The application relates to the technical field of quantum measurement and quantum control, and discloses a control data compiling method of a superconducting chip, which comprises the following steps: reading the instruction sequence of a target physical channel and topologically adjacent channels by a discrete sliding window; constructing a pulse overlap density vector of the target physical channel and calculating a control energy level gradient vector between the channels; calculating a space-time dissipation correlation tensor according to the tensor product of the two vectors and an intrinsic coherence time constant of the chip; extracting a maximum eigenvalue, and when the maximum eigenvalue exceeds a safety threshold, interleaving and recombining a non-correlated instruction branch chain without a logic data dependency relationship to complete topology recompilation; and the application establishes a response path of sequence transition and a future running node decoherence rate trend, pre-decodes and offsets state distortion in a translation stage, avoids the risk of local phonon thermal saturation, and improves the environmental adaptability under long-period working conditions.

Description

Technical Field

[0001] This invention relates to a method for compiling control data for a superconducting chip, belonging to the field of quantum measurement and quantum control technology. Background Technology

[0002] In current superconducting quantum control architectures, the control data compilation procedure serves as the central hub for the transformation of logic circuits into microwave waveform streams in physical channels. The mainstream approach uses unidirectional cascaded static mapping to translate discrete quantum gate instructions into continuous microwave pulse sequences, which are then introduced into a low-temperature environment via a high-frequency transmission network to achieve controlled bit state modulation. This translation process relies on the linear arrangement of microwave waveforms on the time axis. By adjusting the amplitude, phase, and duration of the pulses, specific state evolution paths are aligned, enabling the controlled units inside the chip to undergo state evolution according to sequential logic.

[0003] However, with the increase in controlled circuit depth and channel instruction density, continuous pulse injection inevitably leads to transient heat dissipation and induces local cryogenic flux drift. Static compiler architectures treat each bit as an isolated entity, lacking dynamic correlation calculations for channel pulses in the spatiotemporal dimension. This neglect of multi-path parasitic electromagnetic coupling and thermal coherence decay causes the generated control flow to accumulate phase errors when facing multi-bit, long-cycle conditions, ultimately reducing the chip's coherence time. Under the constraint of maintaining the existing cryogenic physical hardware configuration and not changing the chip topology, hardware-level transient heat dissipation and electromagnetic parasitic coupling are difficult to eliminate directly. The compiler's control data translation procedure also lacks an active hedging mechanism. For example… Chinese invention patent CN114595821B discloses a quantum circuit and its control method, a superconducting quantum chip, and a superconducting quantum computer. During initialization, the modulation frequency of the tunable coupler is adjusted to read the frequency difference between the resonant cavity and the quantum bit, realizing local energy exchange and quantum bit initialization. However, this prior art relies on the technical premise of local discrete operation and static frequency detuning. When facing long-period operation with high gate depth of multiple qubits, it lacks the global deduction capability of the dynamic overlapping characteristics and dissipation trend of multi-channel microwave pulses in spatiotemporal multi-dimensional scales. It cannot cope with the cumulative magnetic flux drift and non-homogeneous thermal decay caused by the interleaved injection of multiple radio frequency currents, and it is difficult to control the distortion of the feedforward counteracting state during the compilation and translation stage.

[0004] Therefore, the technical problem to be solved by this invention is how to address the difficulty of phase defect self-healing under the constraint of maintaining the existing low-temperature physical hardware configuration of the controlled system, how to solve the dissipative correlation tensor by analyzing the spatiotemporal overlap characteristics of multi-channel pulses through sliding scan, and how to use conditional control flow to recompile the timing of unrelated branch chains, combined with in-situ weaving of conjugate coherent locking sequences and fine-tuning of timestamp tags to actively offset non-homogeneous thermal decay and hardware jitter. Summary of the Invention

[0005] To address the problems in the background art, the technical solution of the present invention is as follows: A method for compiling control data for a superconducting chip, comprising the following steps:

[0006] Step S101: The compiler controls a discrete sliding window with a fixed number of timing nodes to sequentially read the instruction sequence in the target physical channel and the topologically adjacent channel of the target physical channel in the superconducting chip.

[0007] Step S102: Statistically analyze the microwave pulse duty cycle evolution characteristics of the target physical channel within a continuous 20ns time window to construct the pulse overlap density vector, and calculate the control energy level gradient vector between the target physical channel and the topologically adjacent channel within a continuous 20ns time window.

[0008] Step S103: Perform cross-cascade mapping between the pulse overlap density vector and the control level gradient vector, divide the tensor product of the pulse overlap density vector and the control level gradient vector by the chip intrinsic coherence time constant, and calculate the spatiotemporal dissipation correlation tensor characterizing the chip's local decoherence tendency caused by multi-channel spatiotemporal crosstalk.

[0009] Step S104: Extract the maximum eigenvalue in the spatiotemporal dissipation correlation tensor. When the maximum eigenvalue exceeds the safety threshold, output an interrupt signal. Filter out unrelated instruction branch chains in the instruction sequence that have no logical data dependency. Control the unrelated instruction branch chains to perform interleaving and recombination on the time axis to reduce the local control time domain energy duty cycle, so that the maximum eigenvalue is stabilized within the safety threshold, and complete the topology reprogramming of the control data within the superconducting chip.

[0010] Preferably, when the maximum eigenvalue exceeds the safety threshold, step S104 includes the following sub-steps: step S1041, extracting the maximum eigenvalue and comparing it with the safety threshold to calculate the excess residual of the eigenvalue; step S1042, controlling the amplitude evolution width of the coherent lock-in control sequence according to the excess residual of the eigenvalue, and embedding the coherent lock-in control sequence in the timing gap, wherein the coherent lock-in control sequence is conjugate with the magnetic flux drift generated by the preceding microwave pulse operation to perform transient phase cancellation.

[0011] Preferably, when reassembling the unrelated instruction branch chain, step S104 further includes the following sub-steps: step S1043, combining the inherent clock tree jitter characteristics of the control hardware layer and the routing delay, converting the routing delay into a time-related physical response hysteresis parameter and defining it as a timing jitter deviation value; step S1044, before outputting the waveform control data, performing gradient fine-tuning on the timestamp label of the reassembled control code stream based on the timing jitter deviation value.

[0012] Preferably, step S102 includes the following sub-steps: Step S1021, for the target physical channel, microwave pulse data contained in the instruction sequence is sequentially and cyclically read using a discrete sliding window containing a fixed number of timing nodes; Step S1022, the microwave pulse duty cycle evolution characteristics of the target physical channel within a continuous 20ns time window are statistically analyzed, and a pulse overlap density vector is constructed by calculating the evolution trajectory of the ratio of the duration of the microwave pulse within the continuous 20ns time window to the total duration of the continuous 20ns time window.

[0013] Preferably, step S102 includes the following sub-steps: step S1023, obtaining the main control level parameters in the target physical channel and the neighboring control level parameters in the topological neighboring channel; step S1024, calculating the transient radio frequency amplitude difference characteristics between the main control level parameters and the neighboring control level parameters within a continuous 20ns time window, and generating the control level gradient vector by gradient mapping the transient radio frequency amplitude difference characteristics.

[0014] Preferably, step S104 includes the following sub-steps: step S1045, comparing the maximum feature value with the fixed safety limit value of 0.75; step S1046, when the maximum feature value does not exceed the fixed safety limit value of 0.75, maintaining the original instruction pipeline layout and outputting waveform control data.

[0015] Preferably, the chip intrinsic coherence time constant in step S103 is obtained through the following steps: Step S1031, the superconducting chip is calibrated using standard quantum tomography to obtain the chip intrinsic coherence time constant; Step S1032, the calibrated chip intrinsic coherence time constant is pre-written as a fixed parameter into the compiler's configuration table for real-time reading.

[0016] Preferably, the screening of irrelevant instruction branch chains in step S104 includes the following steps: Step S1047, analyzing the logical data dependencies between each control instruction branch chain in the instruction sequence, and identifying independent control instruction branch chains with zero logical data dependencies as irrelevant instruction branch chains; Step S1048, identifying the commutativity of quantum gates in irrelevant instruction branch chains, and identifying multiple control instruction branch chains with commutative compatibility characteristics and no data conflicts as recombinable units.

[0017] Preferably, after completing the topology reprogramming of the control data within the superconducting chip, the following steps are also included: Step S105, sending the instruction sequence after topology reprogramming to the real-time arbitrary waveform generator driver interface to output waveform control code stream data.

[0018] Compared with the prior art, the beneficial effects of the present invention are:

[0019] 1. In the compilation of control data for superconducting chips, the radio frequency data stream of the controlled channel is scanned by a sliding period to extract the overlap density of instruction pulses within the channel and the gradient of control energy levels between physical channels. The evolution characteristics of the radio frequency pulse duty cycle within the time axis window are combined with the transient amplitude difference of multiple parasitic electromagnetic couplings between channels. Based on the existing controlled channel data, the global spatiotemporal dissipation correlation state is solved by tensor product. A causal response path between sequence transitions and the decoherence rate trend of future running nodes is established. This enables the compiler to obtain control means to predict and offset the distortion of the controlled state in advance during the one-way code translation stage, and to convert the implicit non-homogeneous dissipation that was difficult to measure directly in the past into a computable feature variable during compilation.

[0020] 2. Establish a conditional control flow state mechanism, compare the maximum eigenvalue of the spatiotemporal dissipation correlation tensor with a preset safety threshold, output an interrupt signal and trigger topology reprogramming when the eigenvalue exceeds the limit, generate equidistant interleaved recombination on the time axis by filtering unrelated instruction branch chains with no logical dependencies, reduce the duty cycle of local control time domain energy, and embed a coherent locking control sequence conjugate with the magnetic flux drift caused by the preceding operation in the time interval with the excess residual of the eigenvalue, so that the hardware generates a transient phase self-healing effect, breaks the rigid assumption of spatiotemporal arrangement of control pulses, and transforms disordered parasitic dissipation into an ordered self-healing mechanism, thereby avoiding the risk of local phonon thermal saturation.

[0021] 3. The multi-channel topology image is fused with physical parameters. The parasitic crosstalk voltage matrix is ​​calculated using the pulse amplitude parameters within the timing window of the adjacent physical channel. The RF amplitude boundary is dynamically corrected. At the same time, the inherent clock tree jitter characteristics of the control hardware layer are combined to convert the wiring delay into a microsecond-level physical response hysteresis parameter and define it as rack bounce. Before the compiler outputs the waveform control data, the timestamp label of the control code stream is finely adjusted according to the rack bounce, so that the recombined pulse sequence has time alignment accuracy. This eliminates the weakening effect of the feedforward cancellation on the physical gap of the hardware and ensures that the control flow maintains a stable phase cancellation state in a non-ideal hardware environment. Attached Figure Description

[0022] Figure 1 This is a flowchart illustrating the steps of the control data compilation method for the superconducting chip of the present invention.

[0023] Figure 2 This is a flowchart illustrating the operational logic of the control data compilation method for the superconducting chip of this invention.

[0024] The objectives, features, and advantages of this invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0025] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0026] A method for compiling control data for a superconducting chip includes the following steps:

[0027] Step S101: The compiler controls a discrete sliding window with a fixed number of timing nodes to sequentially read the instruction sequence in the target physical channel and the topologically adjacent channel of the target physical channel in the superconducting chip.

[0028] Step S102: Statistically analyze the microwave pulse duty cycle evolution characteristics of the target physical channel within a continuous 20ns time window to construct the pulse overlap density vector, and calculate the control energy level gradient vector between the target physical channel and the topologically adjacent channel within a continuous 20ns time window.

[0029] Step S103: Perform cross-cascade mapping between the pulse overlap density vector and the control level gradient vector, divide the tensor product of the pulse overlap density vector and the control level gradient vector by the chip intrinsic coherence time constant, and calculate the spatiotemporal dissipation correlation tensor characterizing the chip's local decoherence tendency caused by multi-channel spatiotemporal crosstalk.

[0030] Step S104: Extract the maximum eigenvalue in the spatiotemporal dissipation correlation tensor. When the maximum eigenvalue exceeds the safety threshold, output an interrupt signal. Filter out unrelated instruction branch chains in the instruction sequence that have no logical data dependency. Control the unrelated instruction branch chains to perform interleaving and recombination on the time axis to reduce the local control time domain energy duty cycle, so that the maximum eigenvalue is stabilized within the safety threshold, and complete the topology reprogramming of the control data within the superconducting chip.

[0031] Preferably, when the maximum eigenvalue exceeds the safety threshold, step S104 includes the following sub-steps: step S1041, extracting the maximum eigenvalue and comparing it with the safety threshold to calculate the excess residual of the eigenvalue; step S1042, controlling the amplitude evolution width of the coherent lock-in control sequence according to the excess residual of the eigenvalue, and embedding the coherent lock-in control sequence in the timing gap, wherein the coherent lock-in control sequence is conjugate with the magnetic flux drift generated by the preceding microwave pulse operation to perform transient phase cancellation.

[0032] Preferably, when reassembling the unrelated instruction branch chain, step S104 further includes the following sub-steps: step S1043, combining the inherent clock tree jitter characteristics of the control hardware layer and the routing delay, converting the routing delay into a time-related physical response hysteresis parameter and defining it as a timing jitter deviation value; step S1044, before outputting the waveform control data, performing gradient fine-tuning on the timestamp label of the reassembled control code stream based on the timing jitter deviation value.

[0033] Preferably, step S102 includes the following sub-steps: Step S1021, for the target physical channel, microwave pulse data contained in the instruction sequence is sequentially and cyclically read using a discrete sliding window containing a fixed number of timing nodes; Step S1022, the microwave pulse duty cycle evolution characteristics of the target physical channel within a continuous 20ns time window are statistically analyzed, and a pulse overlap density vector is constructed by calculating the evolution trajectory of the ratio of the duration of the microwave pulse within the continuous 20ns time window to the total duration of the continuous 20ns time window.

[0034] Preferably, step S102 includes the following sub-steps: step S1023, obtaining the main control level parameters in the target physical channel and the neighboring control level parameters in the topological neighboring channel; step S1024, calculating the transient radio frequency amplitude difference characteristics between the main control level parameters and the neighboring control level parameters within a continuous 20ns time window, and generating the control level gradient vector by gradient mapping the transient radio frequency amplitude difference characteristics.

[0035] Preferably, step S104 includes the following sub-steps: step S1045, comparing the maximum feature value with the fixed safety limit value of 0.75; step S1046, when the maximum feature value does not exceed the fixed safety limit value of 0.75, maintaining the original instruction pipeline layout and outputting waveform control data.

[0036] Preferably, the chip intrinsic coherence time constant in step S103 is obtained through the following steps: Step S1031, the superconducting chip is calibrated using standard quantum tomography to obtain the chip intrinsic coherence time constant; Step S1032, the calibrated chip intrinsic coherence time constant is pre-written as a fixed parameter into the compiler's configuration table for real-time reading.

[0037] Preferably, the screening of irrelevant instruction branch chains in step S104 includes the following steps: Step S1047, analyzing the logical data dependencies between each control instruction branch chain in the instruction sequence, and identifying independent control instruction branch chains with zero logical data dependencies as irrelevant instruction branch chains; Step S1048, identifying the commutativity of quantum gates in irrelevant instruction branch chains, and identifying multiple control instruction branch chains with commutative compatibility characteristics and no data conflicts as recombinable units.

[0038] Preferably, after completing the topology reprogramming of the control data within the superconducting chip, the following steps are also included: Step S105, sending the instruction sequence after topology reprogramming to the real-time arbitrary waveform generator driver interface to output waveform control code stream data.

[0039] Example 1: In the compilation of multi-qubit quantum circuits, during continuous control pulse injection, the superconducting chip accumulates transient non-homogeneous heat dissipation in the topologically adjacent channels of the target physical channel, causing local low-temperature magnetic flux drift and pseudo-particle excitation. This leads to nonlinear phase decoherence and state collapse of the superconducting qubits, causing the static compilation architecture, which relies on the absolute stability assumption of the microwave control environment during compilation, to generate phase accumulation errors under long-period conditions. This results in the fidelity of the system's quantum gate manipulation being less than 99%, and the insertion of global calibration pulses introduces non-computational control redundancy instructions and strips... The effective coherence time of the superconducting chip is determined under the pulsed operation of long-period quantum programming. The compiler controls a discrete sliding window with a fixed number of timing nodes to sequentially read the instruction sequences within the target physical channel and its topologically adjacent channels in the superconducting chip. The microwave pulse duty cycle evolution characteristics of the target physical channel within a continuous 20ns time window are statistically analyzed. The microwave pulse duty cycle evolution characteristics are determined by the ratio of the duration of the microwave pulse within the continuous 20ns time window to the total duration of the continuous 20ns time window. A pulse overlap density vector characterizing the time-domain energy distribution characteristics is then constructed. Simultaneously acquire the main control level parameters within the target physical channel and the neighboring control level parameters within the topologically adjacent channels. Calculate the transient radio frequency amplitude difference characteristics between the main control level parameters and the neighboring control level parameters within a continuous 20 ns time window. Based on these transient radio frequency amplitude difference characteristics, calculate the control level gradient vector characterizing the spatial electromagnetic coupling strength. The compiler will convert the pulse overlap density vector With control level gradient vector Cross-cascade mapping to calculate the pulse overlap density vector With control level gradient vector The tensor product divided by the chip's intrinsic coherence time constant Solve the spatiotemporal dissipation correlation tensor that characterizes the local decoherence tendency of the chip caused by multi-channel spatiotemporal crosstalk. The calculation formula is as follows: ,in, For the spacetime dissipative correlation tensor, The pulse overlap density vector. To control the energy level gradient vector, To calibrate and write the chip intrinsic coherence time constant into the compiler configuration table using standard quantum tomography, the compiler, when executing this formula, adjusts the chip intrinsic coherence time constant in the denominator. Time base normalization was performed, that is, the smallest timestamp step unit at the compiler hardware level was used for the time base normalization. The physical values ​​are extracted using dimensionless numerical methods, transforming all physical quantities involved in tensor division operations into pure numerical scalars at the underlying level, thereby ensuring the final calculated spacetime dissipation correlation tensor. The system maintains dimensionless properties in both mathematical logic and compiler layer register storage to facilitate direct numerical comparison with dimensionless eigenvalues ​​and safety limits. Based on the phonon acoustic mismatch model of the superconducting chip substrate and electrode interface, the energy integral characteristics of the local high-frequency electromagnetic injection power over a continuous 20ns time domain have a monotonically deterministic correlation with the generation rate of transient non-equilibrium phonons. In-situ re-encoding of pulse overlap waveforms within a short time window blocks the continuous rigid superposition of radio frequency energy in the time domain, thereby suppressing the cascade evolution of lattice transient phonon excitation to chip bulk thermal conduction. During denominator normalization, the system utilizes the reference clock period scalar configured in the compiler register. Remove the chip's intrinsic coherence time constant Generate dimensionless coherent time constant Reference clock period scalar Set to 1 nanosecond, dimensionless coherent time constant For real numbers greater than zero, ensure the spatiotemporal dissipative correlation tensor Its dimensionless property and dimensional consistency are used to calculate the spatiotemporal dissipative correlation tensor. Then, the compiler calls a conditional control flow state machine based on discrete rules to correlate the spatiotemporal dissipation tensor. The maximum eigenvalue is compared with the fixed safety threshold of 0.75. When the maximum eigenvalue reaches 0.84 due to the spatiotemporal superposition of microwave pulses, exceeding the fixed safety threshold of 0.75, the system determines that there is a risk of local phonon thermal saturation within the controlled time window. The conditional control flow state machine sends an interrupt signal to the control flow, triggering the spatiotemporal topology in-situ recompilation of the control data. In actual physical evolution, local phonon thermal saturation is the cumulative thermodynamic dissipation effect caused by the continuous injection of high-density microwave pulses on a microsecond to millisecond scale. This invention calculates the spatiotemporal dissipation correlation tensor in advance during the translation stage through a continuous 20ns surface sliding window. Its underlying mechanism lies in building... The feedforward evolution relationship between the transient distortion of the surface pulse duty cycle and the overall quasi-particle diffusion heat flow was established. Specifically, the local overlap density of high-frequency radio frequency energy within a 20ns time window is the direct surface dynamic source that induces local non-equilibrium heat dissipation of phonons in the chip substrate. By performing in-situ reprogramming and non-homogeneous time stretching on the pulse overlap waveform within this extremely short time scale during compilation, the continuous rigid superposition path of radio frequency energy in the time domain is cut off, preventing the cascade amplification evolution of the surface transient excitation to the overall bulk heat conduction. Thus, before the overall phonon thermal saturation is established in the thermodynamic system, local thermal counterbalancing is achieved through feedforward surface timing adjustment.

[0040] Upon receiving an interrupt signal, the compiler blocks the unidirectional linear mapping of the waveform library, analyzes the logical data dependencies between control instruction branches in the instruction sequence, identifies independent control instruction branches with zero logical data dependencies as unrelated instruction branches, and identifies the commutation of quantum gates in unrelated instruction branches. Multiple control instruction branches with commutation compatibility and no data conflicts are identified as reconfigurable units. While maintaining the causal constraints of quantum circuit timing, a non-homogeneous time stretch is applied to the unrelated instruction branches on the time axis, causing the pulse emission timing between different channels to be interleaved with an integer multiple of 5ns to reduce the local control time domain energy duty cycle. Simultaneously, based on the maximum eigenvalue comparison, a fixed safety... The eigenvalue excess residual with an absolute value of 0.09, calculated at a full limit of 0.75, is injected in situ into the coherent lock-in control (CLC) code stream within the blank control time domain formed by interleaving stretching. This allows the amplitude evolution width of the CLC code stream to be controlled by the eigenvalue excess residual. Furthermore, the RF phase of the CLC code stream is conjugate to the flux drift caused by the preceding microwave pulse operation, inducing transient phase cancellation locally in the controlled qubit to counteract non-equilibrium pseudoparticles. The system reads the electromagnetic physical response lookup table built into the compiler, converting the eigenvalue excess residual into the physical driving amplitude of the microwave pulse synthesis unit. The lookup table establishes a linear transformation matrix between the dimensionless residual value and the control line flux conversion gain. The digital value of the physical driving amplitude of the CLC code stream is... According to the formula Calculate, where, The digital logic value representing the amplitude output of the microwave pulse synthesis unit is an integer greater than zero and less than or equal to 65535. This represents a pre-calibrated scalar value for the flux-voltage conversion coefficient and is a constant greater than zero. The eigenvalue represents the excess residual and is a dimensionless real number greater than zero. The system accumulates the cumulative energy envelope of the preceding historical pulse streams in the sliding window, determines the radio frequency phase angle of opposite polarity, and dynamically writes it into the timestamp data. After the physical microwave pulse stream enters the cryogenic dilution refrigerator environment, the phase offset caused by magnetic flux residue is eliminated by the anti-phase superposition interference of high-frequency signals. The interleaving and recombination is implemented based on the directed acyclic graph heuristic timing scheduling algorithm inside the compiler. When an interrupt signal is received, the compiler locks the independent nodes with zero data dependency out-degree in the instruction sequence, increments the delay offset label of each unrelated instruction branch chain in 5ns increments, and recalculates the maximum eigenvalue of the spatiotemporal dissipation correlation tensor in the current window after each translation. The pipeline scheduling priority of unrelated nodes in the directed acyclic graph is dynamically reduced, causing the corresponding microwave pulse emission timestamp to be translated backward as a whole. This scheduling process adopts a cyclic iterative structure. After each round of timing interleaving and recombination, a maximum eigenvalue check is performed. When the recalculated maximum eigenvalue converges and stabilizes at a fixed safety limit value of 0.When the number of iterations reaches 75 or below, or when the preset maximum number of convergence iterations is reached, the compiler terminates the timing shift state and locks the current topology recompilation pipeline sequence. To mitigate the nonlinear weakening of the feedforward self-healing effect caused by the inherent routing delays and clock tree jitter characteristics of the control hardware layer due to non-ideal operating conditions, the compiler reads the parasitic characteristic parameters from the hardware configuration table before outputting the control waveform data. It converts the routing delay into a time-dependent physical response hysteresis parameter and defines it as the logic rack bounce. Based on the logic rack bounce, it applies discrete gradient micro-gradients to the timestamp tags of the recombined control code stream. The fine-tuning step unit is controlled within the range of 10ps to 50ps to maintain the time alignment accuracy of the pulse sequence when it enters the hardware layer. The topology-recompiled instruction sequence is sent to the real-time arbitrary waveform generator driver interface and the reshaped binary RF control code stream data is output, driving the arbitrary waveform generator to convert it into a physical microwave pulse stream. In the actual system architecture, the logic rack bounce refers to the RF wavefront arrival timing offset caused by impedance mismatch in multi-channel high-frequency distributed wiring and uneven heating of the clock tree distribution network at the electronic signal level. Its data format is... The data is represented by a 16-bit unsigned integer, with the basic counting unit corresponding to a time physical resolution of 1 ps. In terms of acquisition, during the system deployment initialization phase, this parameter is obtained by injecting a standard reference square wave stream into each physical RF channel through the hardware online timing calibration firmware. The transient arrival time difference of the reflected waveform is measured using a high-precision time-to-digital converter at the cryogenic receiver for automatic calibration. This parameter is then pre-written into the compiler's hardware configuration table as a fixed channel parasitic matrix parameter, allowing the compiler to read and call it in real-time during translation and recompilation. Through the conditional state recombination of pure software control flow and the real-time in-situ weaving of conjugate coherent lock sequences, the system transforms disordered parasitic dissipation into an ordered phase self-healing mechanism. This achieves feedforward self-healing of channel phase defects while maintaining the existing configuration of the cryogenic physical hardware. Experimental measurements show that the test group using this method maintains an average gate fidelity of 99.92% in continuous single-bit random benchmark tests, superior to the 99.15% of the conventional control group without this compiler compensation method. This reduces the probability of computational collapse and decoherence divergence risks in multi-channel complex instruction sequences under large-scale quantum circuits.

[0041] Example 2: To verify the practical effectiveness and engineering feasibility of a superconducting chip control data compilation method under large-scale high-gate-depth quantum circuit compilation conditions, this measurement process constructs a superconducting quantum control hardware test platform. The superconducting quantum control hardware test platform includes a multi-channel microwave pulse synthesis unit with a frequency resolution of 1Hz and a sampling frequency of 10GSps, and also includes a cryogenic dilution refrigerator environment maintaining a ground state temperature of 10mK. The original instruction sequence used in the test originates from a random benchmark test circuit sequence with a gate depth of 1000. To simulate multi-path parasitic electromagnetic coupling crosstalk under non-ideal electromagnetic conditions, random telegraph noise with an amplitude of 5μV is actively superimposed on the control circuit, and frequency... A 50Hz power frequency interference harmonic was used as the environmental interference source to determine the system's control data translation and operational stability under interference conditions. During the test startup phase, the compiler controlled a discrete sliding window with a fixed number of timing nodes to sequentially read the original instruction sequence containing random telegraph noise and power frequency interference harmonics. Under the initial operating condition without compiler compensation, the target physical channel achieved an overlap state of 0.85 in the original microwave pulse duty cycle within a continuous 20ns time window. Furthermore, parasitic electromagnetic coupling between the target physical channel and its topologically adjacent channels induced a transient RF amplitude difference of 12.4mV. A pulse overlap density vector was constructed based on the evolution characteristics of the original microwave pulse duty cycle. The control level gradient vector characterizing the spatial electromagnetic coupling strength is calculated based on the transient radio frequency amplitude difference characteristics. In actual processing, gradient mapping is implemented through a dimensionless transformation operator pre-defined within the compiler. Specifically, the compiler extracts the absolute value of the transient RF amplitude difference between the target physical channel and its topologically adjacent channels due to RF parasitic crosstalk, and imports it into a hierarchical normalization function. If the amplitude difference is within a preset electromagnetic coupling safety range, it is linearly shifted and mapped to a dimensionless scalar gradient value between 0 and 1 based on the magnitude of the difference. If there are multiple adjacent physical channels, the dimensionless scalar gradient values ​​corresponding to each channel are weighted and combined according to the reciprocal of their spatial geometric topological distance, ultimately generating a one-dimensional array structure of control level gradient vectors. This accurately transforms the overall radio frequency amplitude difference with definite physical units into a feature vector that can directly participate in the cross tensor product operation during the translation stage. The compiler then converts the pulse overlap density vector... With control level gradient vector Cross-cascade mapping to calculate the pulse overlap density vector With control level gradient vector The tensor product divided by the chip's intrinsic coherence time constant Solve the spatiotemporal dissipation correlation tensor that characterizes the local decoherence tendency of the chip caused by multi-channel spatiotemporal crosstalk. The specific formula for obtaining it is: ,in, For the spacetime dissipative correlation tensor, The pulse overlap density vector. To control the energy level gradient vector, To calibrate the chip's intrinsic coherence time constant using standard quantum tomography and write it into the compiler configuration table, the spatiotemporal dissipation correlation tensor is calculated. Then, the compiler calls a conditional control flow state machine based on discrete rules to correlate the spatiotemporal dissipation tensor. The maximum eigenvalue is compared with the fixed safety limit value of 0.75. When the maximum eigenvalue reaches 0.843 due to the spatiotemporal superposition of microwave pulse flow and exceeds the fixed safety limit value of 0.75, the system determines that there is a risk of local phonon thermal saturation within the controlled time window. The conditional control flow state machine sends an interrupt signal to the control flow and starts the spatiotemporal topology re-editing of the control data.

[0042] Upon receiving an interrupt signal, the compiler blocks the unidirectional linear mapping of the waveform library, analyzes the logical data dependencies between control instruction branches in the instruction sequence, identifies independent control instruction branches with zero logical data dependencies as unrelated instruction branches, and identifies the commutation of quantum gates in unrelated instruction branches. Multiple control instruction branches with commutation compatibility and no data conflicts are identified as reconfigurable units. While maintaining the causal constraints of quantum circuit timing, a non-homogeneous time stretch is applied to the unrelated instruction branches on the time axis, causing the pulse emission timing between different channels to be interleaved with a value that is an integer multiple of 5ns to reduce the local control time domain energy duty cycle. Simultaneously, a fixed safety limit value of 0 is compared based on the maximum eigenvalue. The eigenvalue excess residual with an absolute value of 0.093 is calculated. A coherent lock-on control (COC) code stream is injected in situ into the blank control time domain formed by interleaving stretching. This allows the amplitude evolution width of the COC code stream to be controlled by the eigenvalue excess residual. Furthermore, the RF phase of the COC code stream is conjugate to the flux drift caused by the preceding microwave pulse operation. Under the non-ideal engineering environment of thermal cycling and high-frequency pulse injection, transient phase cancellation is induced locally in the controlled qubit to counteract non-equilibrium pseudoparticles. Specifically, the dimensionless eigenvalue excess residual is converted into specific RF pulse control parameters through an electromagnetic physics response lookup table built into the compiler. This lookup table pre-stores the mapping ratio between the dimensionless residual value and the control line flux conversion gain. When the eigenvalue excess residual is calculated to be 0.093, the compiler directly calculates the physical amplitude digital logic value of the coherent lock-on control code stream based on this mapping ratio. Simultaneously, addressing the cryogenic flux drift induced by the preceding high-density microwave pulse in the superconducting circuit, the compiler reads the cumulative energy envelope of the historical pulse stream, reverse-calculates the conjugate RF phase angle with completely opposite polarities, and dynamically writes this phase angle into the timestamp data of the coherent lock-on control code stream. This ensures that after the final output physical microwave pulse waveform enters the cryogenic dilution refrigerator environment, the phase offset of the system waveform caused by the cryogenic flux residue is eliminated locally and in situ through the high-frequency signal anti-phase superposition interference mechanism at the physical layer. To verify the characteristics of the timestamp tag fine-tuning range and boundary changes, this test process... While maintaining other consistent characteristics, gradient performance tests were conducted at three endpoints: the absolute lower limit of the timestamp fine-tuning step unit (10 ps), the normal median (30 ps), and the absolute upper limit (50 ps). Test data shows that when the fine-tuning step unit is set at the absolute lower limit of 10 ps, ​​the average single-bit gate fidelity of the superconducting qubit is 99.81% after offsetting wiring delay and clock tree jitter with discrete fine-tuning. When the fine-tuning step unit is set at the normal median of 30 ps, ​​the timing alignment accuracy meets the coherence protection requirements, and the average single-bit gate fidelity remains stable at 99.92%. Furthermore, when the fine-tuning step unit is set at the absolute upper limit of 50 ps, ​​the average single-bit gate fidelity remains at 99.92%.76%. Further out-of-range comparison tests were conducted on external data exceeding the 5ps lower limit of the protection range. Due to the inherent clock tree jitter characteristics of the hardware layer masking the fine-tuning step size, the system's gate fidelity growth stagnated and remained at a measured value of 99.18%. However, when out-of-range comparison tests were conducted on conditions exceeding the upper limit of 60ps, the fine-tuning amount exceeded the coherent matching window of the microwave pulse envelope, inducing a gate phase misalignment locally in the controlled qubit, resulting in an average single-bit gate fidelity reduction to 98.34%. These performance trends and degradation data confirm that the 10ps to 50ps limit is an operating range controlled by both the physical resolution of the control hardware and the pulse coherence constraints.

[0043] In contrast, a conventional control group without the topology rewriting and coherent locking control stream method of this invention was introduced for comparative testing under the same interference conditions. Data shows that under continuous impact from 5μV random telegraph noise, the conventional control group, lacking phase self-healing and timing interleaving adjustment mechanisms, experienced a continuous decline in average single-bit gate fidelity as the quantum gate depth increased due to accumulated phase errors on the control lines. Ultimately, at a gate depth of 1000, its gate fidelity dropped to a final measured value of 99.12%. Furthermore, to isolate and verify the synergistic effect of multiple feature combinations within the method of this invention, a partially missing control group with in-situ injected features of the coherent locking control stream was further tested. Data shows that this partially missing control group, due to only using non-homogeneous time stretching and interleaving recombination at integer multiples of 5ns, although it reduced the spatiotemporal dissipation correlation tensor... The maximum eigenvalue is controlled below the safety limit, but due to the lack of means to counteract the non-equilibrium pseudo-particles caused by local low-temperature magnetic flux drift, its average single-bit gate fidelity is 99.43%, which is lower than the 99.92% of the test group using the method of this invention. This indicates that there is a causal positive feedback and synergistic relationship between the two technical features of reducing local energy density through spatiotemporal topology in-situ re-encoding and using conjugate phase-locked control of the code stream expansion transient phase cancellation. That is, the preceding time stretching interleaved arrangement provides the timing gap input for the subsequent code stream in-situ injection, while the code stream in-situ injection, in turn, eliminates the magnetic flux residue that the time stretching failed to eradicate, working together... To improve the coherent protection performance of the chip, based on the gradient verification data obtained under the multi-dimensional comparison system, this test confirms the operational stability and practicality of the method protected by this invention in dealing with long-period high-density pulse control conditions. By combining the discrete sliding window characteristic parameters of the compilation layer with the spatiotemporal dissipation correlation tensor, a feedforward control chain that can sense and adapt to offset environmental noise and electromagnetic crosstalk is established. This allows the manipulation of superconducting qubits to be maintained within a fidelity range of 99.92% without changing the low-temperature hardware topology, providing a stable control layer implementation scheme for the reliable translation and programming of large-scale high-gate-depth quantum circuits.

[0044] Example 3: This example combines Figures 1 to 2 This describes a method for compiling control data for a superconducting chip, such as... Figure 1 As shown, step S101 involves the compiler controlling a discrete sliding window with a fixed number of timing nodes, sequentially reading the instruction sequences within the target physical channel and its topologically adjacent channels in the superconducting chip. Step S102 involves statistically analyzing the microwave pulse duty cycle evolution characteristics of the target physical channel within a continuous 20ns time window to construct a pulse overlap density vector, and calculating the control energy level gradient vectors of the target physical channel and its topologically adjacent channels within the same 20ns time window. Step S102 involves cross-concatenating the pulse overlap density vector and the control energy level gradient vector, and then mapping the pulse overlap density vector and the control energy level gradient vector together. Step S103 involves dividing the tensor product of the quantity by the chip's intrinsic coherence time constant to calculate the spatiotemporal dissipation correlation tensor, which characterizes the chip's local decoherence tendency caused by multi-channel spatiotemporal crosstalk. Step S104 involves extracting the maximum eigenvalue from the spatiotemporal dissipation correlation tensor and outputting an interrupt signal when the maximum eigenvalue exceeds a safety threshold. Step S105 involves filtering out irrelevant instruction branch chains in the instruction sequence that have no logical data dependencies and then controlling the irrelevant instruction branch chains to perform interleaving and recombination on the time axis to reduce the local control time domain energy duty cycle and stabilize the maximum eigenvalue within the safety threshold, thereby completing the topology reprogramming of the control data within the superconducting chip.

[0045] like Figure 2 As shown, the system's operating logic includes an interactive path from the technician as the external execution entity to the system's internal input. The technician's instructions directly target the core node that directly obtains high-precision binary RF control data streams. These instructions are branched downwards through the dashed path to parallel discrete sliding window nodes that sequentially read the target and adjacent channel sequences, as well as nodes that construct pulse overlap density and control energy level gradient vectors. These two parallel sets of logic nodes converge downwards and point to the node that solves the spatiotemporal correlation tensor that characterizes the local decoherence tendency. Subsequently, they are further passed downwards along the dashed path to the node that performs interleaved recombination of the control non-related instruction branch chain. Through the dashed data stream path extending to its left, it connects downwards to the node that receives the topology re-encoded sequence and outputs the physical pulse stream. This node receives the topology re-encoded sequence and outputs the physical pulse stream and establishes a one-way communication connection with an arbitrary waveform generator outside the system. In addition, the system has independently and parallelly set up a node for injecting microwave excitation to measure the environmental heat dissipation frequency drift. This node outputs a physical signal connection to the measurement hardware outside the system.

[0046] Example 4: When the system faces a clock tree jitter in the superconducting chip control hardware reaching its design limit, and the wiring delay caused by parasitic characteristic parameters reaching the absolute upper limit of 50ps, the timing alignment error of the superconducting quantum bit control pulse stream undergoes nonlinear superposition at the real-time arbitrary waveform generator drive interface. This causes a mismatch between the RF phase and magnetic flux drift of the coherent lock-on control code stream, resulting in a shrinking coherent protection window when compiling multi-bit high-gate-depth quantum circuits. This leads to dynamic decoherence caused by microwave pulse spatiotemporal interleaving. Under the boundary condition where the clock tree jitter reaches its design limit, the compiler schedules a discrete sliding window to read the control instruction sequence within the target physical channel. It constructs an instruction branch topology graph based on a directed acyclic graph in a specific register address in the compiler's internal memory and retrieves specific data nodes in the instruction branch topology graph with zero data dependency out-degree and no common physical impedance conflict at the output port. Control instructions that meet the characteristics of specific data nodes are identified as irrelevant instruction branch chains. Then, the non-homogeneous time stretch of the irrelevant instruction branch chains in time-domain reconstruction is calculated. Non-homogeneous time stretch The specific formula for obtaining it is: ,in, This refers to the non-homogeneous time stretching amount. The single-step base delay deviation is calculated from the discrete sampling sequence of logic rack bounce. This represents the total number of sequential nodes containing consecutive quantum gate operations within the reconfigurable unit.

[0047] Obtaining non-homogeneous time stretching Subsequently, the compiler shifts the unrelated instruction branch chain along the time axis by the corresponding fine-tuning time, causing the microwave pulse transmission timing between different physical channels to be staggered. A coherent lock-on control code stream is injected into the resulting timing gaps. Simultaneously, the maximum wiring delay parameter in the hardware configuration table is read, locking the fine-tuning step unit at the absolute upper limit of 50ps. Execution delay lag due to electromagnetic interference is eliminated by applying a fixed-point overlay to the timestamp tag of the reconstructed control code stream, ensuring that the reshaped binary RF control code stream data has time phase alignment when entering the control hardware layer. By employing homogeneous features to suppress channel decoherence tendencies under high-density pulse conditions, and by completing fixed-point coverage and reorganization based on directed acyclic graphs under boundary conditions where clock tree jitter reaches its design limit, the system blocks the propagation path of timing deviations during pulse control flow advancement and controls the cascade excitation of non-equilibrium pseudoparticles in topologically adjacent channels. This ensures that the single-bit gate fidelity of the test group using the method of this invention remains stable at a measurement level of 99.76% under boundary limit conditions, thereby offsetting parasitic characteristic parameters of the control hardware layer and maintaining the compile-time stability under the existing configuration of low-temperature physical hardware.

[0048] Example 5: When the system faces inconsistent initial transducers of superconducting chips under different physical operating batches and dynamic fluctuations in the cooling capacity of the cryogenic refrigerator, due to the risk of initialization deviation in the compilation of control data due to direct operation of discrete sliding windows, the system deploys pre-calibration on-site before the compiler outputs waveform data. When the refrigerator temperature reaches the target physical calibration point, the measurement hardware injects a fixed frequency microwave excitation into the target physical channel of the superconducting chip, collects discrete reflection spectrum characteristic sequences to determine the resonant frequency drift component caused by environmental heat dissipation, and calculates the environmental correction factor by dividing the time-domain decay sequence by the initial intrinsic coherence time constant in the chip configuration table. And based on environmental correction factors For the intrinsic coherence time constant of the chip participating in subsequent cascaded mapping Fine-tuning was performed, and the calibration time constant after fine-tuning was obtained. The specific formula for obtaining it is: ,in, To calibrate the time constant, The chip intrinsic coherence time constant is pre-written into the compiler configuration table. As an environmental correction factor, in calculating the environmental correction factor Since the collected discrete reflection spectral features, after time-domain decay analysis, present as a time-varying sequence of data, the compiler performs a first-order exponential fitting extraction on this time-domain decay sequence to obtain a scalar value of the dynamic coherent decay time constant representing the current actual physical conditions. This fitted dynamic decay time constant scalar value is then divided by the initial intrinsic coherent time constant scalar value in the chip configuration table, thereby eliminating the time dimension and collapsing the data dimension, ultimately outputting a dimensionless constant in single-valued scalar form. This achieves a precise mapping from time-domain distributed data to system control correction factors.

[0049] Accompanying calibration time constant When replacing and overwriting the chip configuration table, the compiler will calibrate the time constant. In situ replacement to spatiotemporal dissipative correlation tensor In the denominator, the comparison between the maximum eigenvalue and the fixed safety limit value of 0.75 when subsequently calling the conditional control flow state machine has adaptive stability characteristics, avoiding false triggering of the control flow caused by external cold energy fluctuations. Under the condition of continuous high-density pulse injection for 48 hours in the test group, the spatiotemporal dissipation correlation tensor The standard deviation of the fluctuation converges within the measurement range of 0.012, the average single-qubit gate fidelity of the superconducting quantum bit remains in the stable range of 99.91%, and the multi-channel control data compilation sequence does not exhibit decoherence divergence.

[0050] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0051] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for compiling control data for a superconducting chip, characterized in that, Includes the following steps: Step S101: The compiler controls a discrete sliding window with a fixed number of timing nodes to sequentially read the instruction sequence in the target physical channel and the topologically adjacent channel of the target physical channel in the superconducting chip. Step S102: Statistically analyze the microwave pulse duty cycle evolution characteristics of the target physical channel within a continuous 20ns time window to construct the pulse overlap density vector, and calculate the control energy level gradient vector between the target physical channel and the topologically adjacent channel within a continuous 20ns time window. Step S103: Perform cross-cascade mapping between the pulse overlap density vector and the control level gradient vector, divide the tensor product of the pulse overlap density vector and the control level gradient vector by the chip intrinsic coherence time constant, and calculate the spatiotemporal dissipation correlation tensor characterizing the chip's local decoherence tendency caused by multi-channel spatiotemporal crosstalk. Step S104: Extract the maximum eigenvalue in the spatiotemporal dissipation correlation tensor. When the maximum eigenvalue exceeds the safety threshold, output an interrupt signal. Filter out unrelated instruction branch chains in the instruction sequence that have no logical data dependency. Control the unrelated instruction branch chains to perform interleaving and recombination on the time axis to reduce the local control time domain energy duty cycle, so that the maximum eigenvalue is stabilized within the safety threshold, and complete the topology reprogramming of the control data within the superconducting chip.

2. The method for compiling control data for a superconducting chip according to claim 1, characterized in that, When the maximum eigenvalue exceeds the safety threshold, step S104 includes the following sub-steps: Step S1041, extract the maximum eigenvalue and compare it with the safety threshold to calculate the excess residual of the eigenvalue; Step S1042, control the amplitude evolution width of the coherent lock-in control sequence according to the excess residual of the eigenvalue, and embed the coherent lock-in control sequence in the timing gap. The coherent lock-in control sequence is conjugate with the magnetic flux drift generated by the preceding microwave pulse operation to perform transient phase cancellation.

3. The method for compiling control data for a superconducting chip according to claim 1, characterized in that, When reassembling the unrelated instruction branch chain, step S104 also includes the following sub-steps: Step S1043, combining the inherent clock tree jitter characteristics of the control hardware layer and the routing delay, converting the routing delay into a time-related physical response hysteresis parameter and defining it as a timing jitter deviation value; Step S1044, before outputting the waveform control data, performing gradient fine-tuning on the timestamp label of the reassembled control code stream based on the timing jitter deviation value.

4. The method for compiling control data for a superconducting chip according to claim 1, characterized in that, Step S102 includes the following sub-steps: Step S1021, for the target physical channel, microwave pulse data contained in the instruction sequence is sequentially and cyclically read using a discrete sliding window containing a fixed number of timing nodes; Step S1022, the microwave pulse duty cycle evolution characteristics of the target physical channel within a continuous 20ns time window are statistically analyzed, and a pulse overlap density vector is constructed by calculating the evolution trajectory of the ratio of the duration of the microwave pulse within the continuous 20ns time window to the total duration of the continuous 20ns time window.

5. The method for compiling control data for a superconducting chip according to claim 1, characterized in that, Step S102 includes the following sub-steps: Step S1023, obtain the main control level parameters in the target physical channel and the neighboring control level parameters in the topological neighboring channel; Step S1024, calculate the transient radio frequency amplitude difference characteristics between the main control level parameters and the neighboring control level parameters within a continuous 20ns time window, and generate the control level gradient vector by gradient mapping the transient radio frequency amplitude difference characteristics.

6. The method for compiling control data for a superconducting chip according to claim 1, characterized in that, Step S104 includes the following sub-steps: Step S1045, compare the maximum eigenvalue with the fixed safety limit value of 0.75; Step S1046, when the maximum eigenvalue does not exceed the fixed safety limit value of 0.75, maintain the original instruction pipeline layout and output waveform control data.

7. The method for compiling control data for a superconducting chip according to claim 1, characterized in that, The chip intrinsic coherence time constant in step S103 is obtained through the following steps: Step S1031, the superconducting chip is calibrated using standard quantum tomography to obtain the chip intrinsic coherence time constant; Step S1032, the calibrated chip intrinsic coherence time constant is pre-written as a fixed parameter into the compiler's configuration table for real-time reading.

8. The method for compiling control data for a superconducting chip according to claim 1, characterized in that, The screening of irrelevant instruction branch chains in step S104 includes the following steps: Step S1047, analyze the logical data dependency between each control instruction branch chain in the instruction sequence, and determine the independent control instruction branch chains with zero logical data dependency as irrelevant instruction branch chains; Step S1048, identify the commutation of quantum gates in the irrelevant instruction branch chains, and determine multiple control instruction branch chains with commutation compatibility characteristics and no data conflict as recombinable units.

9. The method for compiling control data for a superconducting chip according to claim 1, characterized in that, After completing the topology re-compilation of the control data within the superconducting chip, the following steps are also included: Step S105, the instruction sequence after topology re-compilation is sent to the real-time arbitrary waveform generator driver interface to output waveform control code stream data.

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