Quantum measurement and control instruction assembly line parallel processing system

Abstract

The invention discloses a quantum measurement and control instruction assembly line parallel processing system, which adopts a double-thread framework, connects a producer thread and a consumer thread through a limited-capacity buffer queue, and can ensure the execution sequence of quantum measurement and control instructions and improve the execution efficiency of the quantum measurement and control instructions at the same time. The problems that in an existing measurement and control equipment system, serial processing efficiency is low, and the resource utilization rate is insufficient are solved, namely the technical defects that when an upper computer generates an instruction, external equipment is idle, and when the external equipment executes the instruction, the upper computer is idle are overcome, and a parallel assembly line strategy of upper computer instruction generation and external equipment instruction execution is achieved. The processing efficiency and the resource utilization rate are remarkably improved, and the method has high universality, expandability and a perfect exception processing mechanism.

Description

Technical Field

[0001] This invention belongs to the field of quantum computing technology, specifically relating to a quantum measurement and control command pipeline parallel processing system. Background Technology

[0002] The process of performing quantum chip calibration on a superconducting quantum computer can be summarized as follows: Select the qubit or coupler to be measured, input the scanning parameter range of each object to be measured and other experimental or equipment control parameters and initialize them; Combine the quantum measurement and control instruction generation system and configuration management system to map the scanning point of each measurement object into a specific measurement and control instruction list, where n (n≥1) instructions in the list can jointly realize the chip control function of a single scanning point; Call the measurement and control instruction interaction system to execute the instruction list and store the data returned by the measurement and control equipment; Analyze the measurement and control results after all scanning points have been executed.

[0003] Currently, in superconducting quantum chip parameter calibration systems, the processing of measurement and control commands corresponding to different scan points in measurement and control experiments typically follows strict sequential requirements. Traditional command processing methods employ a completely serial execution mode: first, a sublist of measurement and control commands corresponding to a single scan point is generated; then, this sublist is executed; after execution is complete, the sublist of measurement and control commands corresponding to the next scan point is generated.

[0004] However, the aforementioned serial processing mode has significant technical drawbacks. Firstly, the resource utilization of the measurement and control system is low. When the host computer generates a single instruction sublist, the external execution device is idle; when the external device executes instructions, the instruction generation resources are idle, resulting in a double waste of both the host computer's computing resources and the external device's resources. Secondly, processing efficiency is low. Under the traditional instruction processing method, the total processing time required for the calibration system to fully execute a measurement and control experiment equals the sum of the instruction generation time for all scan points and the execution time of the corresponding instructions for all scan points, failing to fully utilize the parallel processing capabilities of modern multi-core processors. Furthermore, the aforementioned serial processing mode also causes the overall throughput of the measurement and control system to be limited by the slower stages of instruction generation or execution, preventing the optimization of system performance.

[0005] While some parallel processing solutions exist in existing technologies, such as multi-threaded parallel processing and instruction prefetching, these solutions typically suffer from the following problems: difficulty in guaranteeing the strict sequentiality of instruction execution; high implementation complexity, making them difficult to reuse in different application scenarios; large memory footprint and high resource consumption; and imperfect exception handling mechanisms, resulting in poor system stability. Summary of the Invention

[0006] To address the aforementioned technical problems, the present invention provides a quantum measurement and control command pipeline parallel processing system, comprising: The quantum measurement and control initial task queue module can pre-arrange the tasks to be processed in the execution order to form an initial task queue. The queue contains task execution metadata that maps scan points to a list of quantum measurement and control instructions. The producer thread and consumer thread functional modules are divided into producer threads, limited capacity buffer queues, and consumer threads; The producer thread can sequentially retrieve task parameters from the initial task queue, call the instruction generator to generate specific instructions, and place them into the buffer queue. The limited-capacity buffer queue serves as a buffer between the producer and consumer, possessing thread-safe characteristics, supporting blocking input / output operations, storing generated but not yet executed instructions, and balancing memory usage and parallel efficiency through the buffer queue's capacity settings. The consumer thread can retrieve instructions from the buffer queue in a first-in-first-out order and call the executor to execute them. It automatically blocks when the buffer queue is empty to avoid busy waiting. A thread synchronization manager can coordinate the synchronization of producer and consumer threads to prevent resource conflicts. The exception handling module can collect and process exceptions that occur during production and consumption. Exception handling includes clearing the limited capacity buffer queue, resetting synchronization events, and waiting for the thread to end.

[0007] Preferably, the task execution metadata includes quantum group identifier, quantum bit identifier, scan point index, and specific scan parameter values.

[0008] Preferably, the producer thread calls and executes the instruction generation function interface. If an error occurs, the exception is captured and recorded. Finally, the consumer thread is notified to end the pipeline through the set() method of the thread event, and a null value None is written to the limited capacity buffer queue to ensure that the end signal is sent.

[0009] Preferably, the consumer thread creates a while True main loop, first extracts tasks from a limited capacity buffer queue, and if the result is None, it determines that the task has ended and exits the loop; otherwise, it calls the above instruction execution callback function to execute the instruction, and if an error occurs during instruction execution, it catches and records the exception.

[0010] Preferably, when the limited capacity buffer queue is empty, the consumer thread automatically blocks and checks whether the producer has completed the creation of all initial tasks through thread events. If it is determined that the producer has completed the task, the main loop is exited. When the limited capacity buffer queue is full, the producer thread automatically blocks.

[0011] This invention provides a parallel processing system for quantum measurement and control command pipelines. It employs a dual-thread architecture, connecting producer and consumer threads via a limited-capacity buffer queue. This system addresses the problems of low efficiency and insufficient resource utilization in existing measurement and control equipment systems, namely, the technical shortcomings of external devices being idle while the host computer generates commands and the host computer being idle while external devices execute commands. It achieves a parallel pipeline strategy for host computer command generation and external device command execution, significantly improving processing efficiency and resource utilization. Furthermore, it possesses strong versatility, scalability, and a robust exception handling mechanism. Attached Figure Description

[0012] Figure 1 This invention provides a schematic diagram of the structure of a quantum measurement and control command pipeline parallel processing system. Figure 2 This invention provides a schematic flowchart of a method for using a quantum measurement and control command pipeline parallel processing system. Detailed Implementation

[0013] The present invention will be further illustrated below with reference to specific embodiments. It should be understood that these embodiments are for illustrative purposes only and are not intended to limit the scope of the invention. Furthermore, it should be understood that after reading the teachings of this invention, those skilled in the art can make various alterations or modifications to the invention, and these equivalent forms also fall within the scope defined by the appended claims.

[0014] To address the problems of low processing efficiency and insufficient hardware resource utilization in existing quantum measurement and control technologies, this invention provides a quantum measurement and control command pipelined parallel processing system. This system is a producer-consumer architecture-based parallel processing architecture for measurement and control commands. This architecture ensures instruction sequentiality while significantly improving pipelined parallel processing efficiency. Figure 1 As shown, the system includes: The quantum measurement and control initial task queue module can pre-arrange the tasks to be processed in the execution order to form an initial task queue. The queue contains all the necessary task execution metadata, including quantum group identifier, quantum bit identifier, scan point index and specific scan parameter values.

[0015] The producer and consumer thread functional modules are divided into producer threads, limited-capacity buffer queues, and consumer threads. The producer thread can retrieve task parameters from the initial task queue in sequence and call the instruction generator to generate specific instructions. The limited-capacity buffer queue serves as a buffer between the producer and consumer, has thread-safe characteristics, supports blocking input / output operations, and is used to store generated but not yet executed instructions. The capacity of the buffer queue can be set to balance memory usage and parallel efficiency. The consumer thread can retrieve instructions from the buffer queue in FIFO (first-in, first-out) order and call the executor to execute them. It can also automatically block when the buffer queue is empty to avoid busy waiting.

[0016] A thread synchronization manager can coordinate the synchronization of producer and consumer threads to prevent resource conflicts.

[0017] The exception handling module can collect and process exceptions that occur during production and consumption, ensuring that system resources are released correctly even if exceptions occur. This includes clearing limited-capacity buffer queues, resetting synchronization events, and waiting for threads to end, thereby preventing resource leaks.

[0018] like Figure 2 As shown, this embodiment uses a quantum chip measurement and control system as an application scenario, which requires sequentially scanning parameters of multiple qubits and executing corresponding operations. The steps of using the quantum measurement and control command pipeline parallel processing system described above are as follows: 1. Initialize the system, create a limited-capacity buffer queue and synchronization mechanism; In a quantum chip measurement and control system, after the parameter initialization of a certain measurement and control experiment is completed, the system first creates a pipeline executor, PipelineExecutor, and receives an instruction execution callback function, communicate_callback, as input parameters. The parameters received by the callback function are the single scan task and the position of the task in the initial task queue, which are used to realize functions such as parameter setting, data reading, and storage of external devices.

[0019] Within the pipelined executor, there exists a pipelined execution function `execute_pipeline`. The executor can initiate the parallel processing of quantum measurement and control instructions by calling this function. This function receives an instruction generation function `producer_func` and the total number of tasks as input parameters. The instruction generation function receives a finite-capacity buffer queue as input and calls the quantum measurement and control initial task queue module to generate an initial task queue. This queue contains task metadata that maps scan points to a list of quantum measurement and control instructions.

[0020] In the instruction generation function, the initial task queue is iterated through, and each individual task is converted into an instruction list and sequentially placed into a finite-capacity buffer queue. The data placed into the buffer queue is consistent with the parameters received by the instruction execution callback function. The implementation logic for converting a single task into an instruction list is selected according to different measurement and control experiments.

[0021] 2. Create producer and consumer threads and start parallel execution of the two threads; In the pipeline execution function, the system first checks if the total number of tasks is zero; if so, it exits the pipeline. Next, a thread event is created to notify the thread of state changes. Then, the consumer and producer threads are started. The producer thread begins generating instructions and placing them into a buffer queue, while the consumer thread simultaneously retrieves and executes instructions from the buffer queue, achieving parallelization of instruction generation and execution. During parallel pipeline execution, the system automatically adjusts the execution speed of the two threads through a queue blocking mechanism to ensure efficient collaboration.

[0022] 3. The producer thread calls an external instruction generator to generate instructions sequentially and put them into a buffer queue. In the implementation logic of the producer thread, the above instructions are called to generate the function interface and executed. If an error occurs, the exception is caught and recorded. Finally, the set() method of the thread event is used to notify the consumer thread to end the pipeline, and a null value None is written to the limited capacity buffer queue to ensure that the end signal is sent.

[0023] IV. The consumer thread retrieves and executes instructions sequentially from the buffer queue, and updates the measurement and control experiment progress after execution. In the implementation logic of the consumer thread, a while True main loop is created. First, a task is retrieved from the limited capacity buffer queue. If the task is null (None), the task is considered finished and the loop is exited. Otherwise, the above instruction is called to execute the callback function to execute the instruction. If an error occurs during the instruction execution, the exception is caught and logged.

[0024] 5. When the buffer queue is full, the producer thread will automatically block; when the buffer queue is empty, the consumer thread will automatically block. When the buffer queue is empty, check whether the producer has completed the creation of all initial tasks through thread events. If it is determined that the producer has completed the creation, exit the main loop.

[0025] 6. Once all tasks in the initial task queue have been processed, the system will automatically clean up resources.

[0026] The main thread calls the join() method to wait for the producer and consumer threads to complete, and then calls the join() method of the buffer queue to wait for all tasks to be processed.

[0027] Ultimately, regardless of whether the instruction pipeline executes successfully or fails, the system performs resource cleanup: clearing any remaining tasks from the buffer queue, resetting completion events, and ensuring that all thread resources are properly released. This step guarantees the system's robustness and the integrity of resource management.

[0028] In this invention, instruction generation and execution are performed in parallel. The total processing time is approximately equal to the larger of the instruction generation and execution times. An initial task queue ensures that the instruction execution order is completely consistent with the generation order, meeting the needs of sequence-sensitive applications. During the dual-thread loop, a limited-capacity buffer queue avoids excessive memory consumption while fully utilizing the device's execution capabilities, achieving optimal resource utilization. Furthermore, this invention supports different types of instruction generators and executors through a callback mechanism, exhibiting strong versatility and scalability. When thread exceptions occur, this invention employs a unified exception handling mechanism to ensure system stability and data consistency.

Claims

1. A quantum measurement and control command pipelined parallel processing system, characterized in that, include: The quantum measurement and control initial task queue module can pre-arrange the tasks to be processed in the execution order to form an initial task queue. The queue contains task execution metadata that maps scan points to a list of quantum measurement and control instructions. The producer thread and consumer thread functional modules are divided into producer threads, limited capacity buffer queues, and consumer threads; The producer thread can sequentially retrieve task parameters from the initial task queue, call the instruction generator to generate specific instructions, and place them into the buffer queue. The limited-capacity buffer queue serves as a buffer between the producer and consumer, possessing thread-safe characteristics, supporting blocking input / output operations, storing generated but not yet executed instructions, and balancing memory usage and parallel efficiency through the buffer queue's capacity settings. The consumer thread can retrieve instructions from the buffer queue in a first-in-first-out order and call the executor to execute them. It automatically blocks when the buffer queue is empty to avoid busy waiting. A thread synchronization manager can coordinate the synchronization of producer and consumer threads to prevent resource conflicts. The exception handling module can collect and process exceptions that occur during production and consumption. Exception handling includes clearing the limited capacity buffer queue, resetting synchronization events, and waiting for the thread to end.

2. The quantum measurement and control command pipelined parallel processing system as described in claim 1, characterized in that, The task execution metadata includes quantum group identifier, quantum bit identifier, scan point index, and specific scan parameter values.

3. The quantum measurement and control command pipelined parallel processing system as described in claim 1, characterized in that, The producer thread calls the instruction generation function interface and executes it. If an error occurs, the exception is captured and recorded. Finally, the consumer thread is notified to end the pipeline through the set() method of the thread event, and a null value None is written to the limited capacity buffer queue to ensure that the end signal is sent.

4. The quantum measurement and control command pipelined parallel processing system as described in claim 1, characterized in that, The consumer thread creates a while True main loop, which first extracts tasks from a limited-capacity buffer queue. If the task is null (None), the task is considered complete and the loop is exited. Otherwise, the above-mentioned instruction execution callback function is called to execute the instruction. If an error occurs during instruction execution, the exception is caught and recorded.

5. The quantum measurement and control command pipelined parallel processing system as described in claim 1, characterized in that, When the limited-capacity buffer queue is empty, the consumer thread automatically blocks and checks whether the producer has completed the creation of all initial tasks through thread events. If it is determined that the producer has completed the creation, the main loop is exited. When the limited-capacity buffer queue is full, the producer thread automatically blocks.

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