86results about "Digital data" patented technology

An optical computation system includes a light source configured to produce a pump beam, an optical modulator configured to modulate the pump beam based on the modulation mask to generate a modulated beam, a non-linear medium configured to convert a portion of the modulated beam to a second harmonic (SH) beam and to produce an output including the SH beam and an unconverted portion of the pump beam, and a dichroic mirror configured to receive the output of the non-linear medium and to decouple the SH beam and the unconverted portion of the pump beam, a detector configured to detect a first optical power of the unconverted portion of the pump beam and to detect a second optical power of the SH beam, and a controller configured to generate an updated modulation mask based on the first and second optical powers for transmission to the optical modulator.

The present disclosure relates to the technical field of optical computing, and particularly relates to an intelligent optical computing chip cluster architecture and system. The architecture comprises: a plurality of optical computing chips, and optical path channels are established between the plurality of optical computing chips by using spatial phase adjustment to modulate light beams; and high-speed optical communication and optical diffraction network computing are performed between the plurality of optical computing chips by performing time-domain intensity modulation on the optical path channels. The present disclosure adopting the above scheme can realize the interconnection computing of optical computing chips in the spatial dimension, and does not rely on electricity for information transmission.

The invention relates to the field of optical computing, and provides a signal processing method and device based on an optical computing chip and a photoelectric fusion computing system.The signal processing device comprises an optical input modulation module, a first weight mapping module, a second weight mapping module and an optical output combining module, and the optical input modulation module converts an input signal into a modulated optical signal; the first weight mapping module obtains a first output optical signal based on the first weight; the second weight mapping module acquires a second output optical signal based on a second weight; the optical output combining module obtains a comprehensive output signal based on the first output optical signal and the second output optical signal; the second weight mapping module comprises a light dimension reduction unit, a low-dimensional light modulation unit and a light dimension raising unit, and the light dimension reduction unit performs low-dimensional projection on a modulated light signal; the low-dimensional optical modulation unit adjusts the second weight based on the second weight update signal and obtains an optical signal after low-dimensional processing; and the light dimension raising unit carries out high-dimensional projection on the light signal after low-dimensional processing.

The method comprises starting with a known layout of a universal optical mesh (such as Reck or Clements schemes) 200 wherein: the known layout of the universal linear optical mesh comprises: a plural

The application belongs to the technical field of chip packaging, and particularly relates to an optoelectronic combined optical computing system, which comprises a substrate, a first interlayer, at least one photonic chip, at least two second interlayers and at least two electronic chips; the second interlayers and the photonic chips are staggered on the upper surface of the substrate, a first gap is formed between the second interlayers and the photonic chips, the first interlayer covers the upper surfaces of the photonic chips and the second interlayers, and the electronic chips are arranged on the upper surface of the first interlayer. The application provides a "bridging type" three-dimensional packaging structure for a chip packaging structure (especially in the case that the size of the photonic chip is limited) with more complex functions or larger data processing capacity, which can improve the heat dissipation performance, dynamically optimize signal transmission according to task requirements, and comprehensively improve the performance, reliability and flexibility of the packaging structure.

A method for operating a Fourier transform device, comprising: receiving an input vector signal comprising N elements each comprising P bits; generating, based on the input vector, a first and a second frame, wherein each of the first and second frames comprises M elements each comprising Q bits, wherein Q < P, wherein the optical Fourier transform device comprises M input channels; obtaining, using the optical Fourier transform device, a first Fourier transform of the first frame and a second Fourier transform of the second frame; and combining, to obtain an output signal comprising a Fourier transform of the input vector, a first part and a second part, wherein the first part is based on the first Fourier transform and the second part is based on the second Fourier transform.

A device for optical matrix-vector multiplication is provided. A x → = y → , encompassing: n * m optically coupled cells (i,j) (330, 331-399) representing the elements of an (n×m) matrix A, an input vector x → , whose components x i (221,222,223) are represented by n waveguides which are coupled to the rows of matrix A, forming an output vector y → whose components y j (231,232,233) are represented by m waveguides coupled to the columns of matrix A, wherein each cell (i,j) (330, 331-399) comprises an optical amplifier (400) configured to apply a weighting factor a ij to implement ∈[1;∞[.

A method for performing a Fourier transform, comprising: receiving an input vector comprising N elements each comprising P bits; generating, based on the input vector, a first and a second frame, wher

We propose a hybrid wave-based logic model for optical computing that integrates both Total Wave Modified Schrödinger Equation (TWMSE) formulations and non-TWMSE interference field logic. This system enables deterministic collapse behavior through physical wave interactions, rather than relying on conventional transistor logic or probabilistic quantum models. In the TWMSE regime, collapse thresholds are governed by field interference between signal and control waves, allowing dynamic selection of tasks based on intensity and phase alignment. In the generalized non-TWMSE regime, similar collapse-like logic can be achieved using thresholded interference models that are classically engineered for optical domain systems. Together, these formulations enable adaptive task selection, nonlinear logic gating, and scalable parallel processing in optical chips. Our architecture supports real-time wavefield decisions and is compatible with standard photonic components such as interferometers, microring resonators, variable attenuators, and optical threshold comparators. The result is a unified logic framework for next-generation AI hardware that harnesses both quantum-inspired and classical wave interference dynamics.

The invention relates to the technical field of photoelectric data processing, provides a light wave chromatography computer coding method, system and architecture based on a toning principle, and aims to break through the performance bottleneck of traditional electronic calculation. According to the method, physical-level color processing is realized through color binary coding and light wave state discrete mapping based on an optical toning principle. The system integrates a digital input interface, a wavelength coding converter, a light wave operation core and a wavelength analysis unit, and supports efficient optical signal direct operation. On the architecture level, an extended von Neumann design is adopted, a three-level Clos-WSS optical interconnection network, a photon ALU and a PCM holographic main memory are included, and femtosecond-level delay, low power consumption and high parallelism are achieved. Advantages include physical level computational accuracy, nearly zero data handling energy consumption, and large scale wavelength level parallel processing. The method is suitable for 8K video real-time color modulation, industrial sorting and other high-requirement scenes, and a subversive solution is provided for the fields of automatic driving, digital twinning and the like.

The purpose of the present invention is to provide an optical computer having high scalability and capable of reducing noise. This optical computer is characterized by including: an input layer which accepts an input signal as a computer; a reservoir layer which responds to a signal input from the input layer, and in which using a plurality of degenerate optical parametric oscillator (DOPO) pulses of a DOPO that are generated by an optical phase-sensitive amplifier (PSA) based on pump light as nodes, a connection relation between the nodes is determined by a measurement feedback method or a method equivalent to the measurement feedback method; and an output layer which outputs an output signal based on the respective responses of the plurality of DOPO pulses to the input signal from the reservoir layer.

The disclosure provides for high bandwidth processing through the sharing of memory dies (104) over a plurality of computing dies (102) via an optical interchange (106). The optical interchange may be configured so as to operate as both an optical switch (108) and optical demultiplexer (107). The optical switch (108) configuration for the optical interchange (106) allows for data to be written from any computing die (102) to one of a plurality of memory dies (104) via an optical connection. The optical demultiplexer (107) configuration allows for data to be broadcast from a memory die (104) to a plurality of the computing dies (102).

A method for performing computations in a system having a matrix multiplication unit that converts an optical input vector to an analog output vector based on a plurality of weight control signals, the method comprising: receiving a computation request comprising at least one digital input vector and a first plurality of weights; storing the digital input vector and the first plurality of weights in a storage unit; generating a first plurality of modulator control signals based on the digital input vector, generating a first plurality of weight control signals based on the first plurality of weights; generating an optical input vector based on the first plurality of modulator control signals; obtaining a first plurality of digital outputs corresponding to the analog output vector, the first plurality of digital outputs forming a first digital output vector; performing, by the controller, a non-linear conversion on the first digital output vector to produce a first converted digital output vector; storing the first converted digital output vector in a storage unit; an output generated based on the first converted digital output vector is output by the controller.

Systems and methods relate to selectively arranging a plurality of qubits into a spatial structure to encode a quantum computing problem. Exemplary arrangement techniques can be applied to encode various quantum computing problems. The plurality of qubits can be driven according to various driving techniques into a final state. The final state can be measured to identify an exact or approximate solution to the quantum computing problem.

A system and method for implementing and utilizing embedded quantum random number generator (QRNG)-based devices are provided. [Solution] An optical device configured for use in quantum random number generation may have an integrated structure comprising at least a light source configured to emit a light beam, a photodetector configured to detect light based on a detection criterion, and a polarizer positioned between the light source and the photodetector. The light source, photodetector, and polarizer are directly integrated or embedded in the integrated structure. The polarizer is configured to process light based on a polarization criterion, including allowing or discarding light having a specific polarization. The optical device is configured for use in facilitating or enabling quantum random number generation based on the detection of a light beam by a detector based on a detection criterion.

A device (400) for optical matrix-vector multiplication is provided. A x → = y → , encompassing: n*m optically coupled cells (i,j) (330-339) representing the elements of an (n × m) matrix A, an input vector x → , whose components x i (221-226) are represented by n waveguides which are coupled to the rows of matrix A, forming an output vector y → , whose components y j (231-236) are represented by m waveguides coupled to the columns of matrix A, each cell (i,j) (330-339) containing an optical element (350) which is a matrix element a ijmodeled, further comprising: a set of optical amplifiers (411 - 416) connecting a g-th column of cells with a g+1-th column of cells in the row direction, wherein each optical amplifier (411 - 416) connects a cell (i,g) with its neighboring cell (i,g+1), and / or a set of optical amplifiers (421 - 426) connecting an h-th row of cells with an h+1-th row of cells in the column direction, wherein each optical amplifier (421 - 426) connects a cell (h,j) with its neighboring cell (h+1,j).

A method of generating a revised layout for implementing a universal linear optical mesh is defined. The method comprises starting with a known layout of a universal optical mesh, wherein: the known layout of the universal linear optical mesh comprises: a plurality of waveguides; and a plurality of couplers distributed over a plurality of interaction stages, wherein each coupler couples two of the waveguides. The method further comprises generating the revised layout by: identifying in the known layout a first arrangement of three couplers across three consecutive waveguides and obtaining the revised layout by replacing the first arrangement of three couplers with a second arrangement of three couplers.

The photonics device includes a plurality of encoders, each encoder configured to encode a first complex element into an input stream of light. Each input port is configured to feed into a corresponding one of the input streams, thereby forming a definable input function based on the value of the first complex element and the position of the corresponding input port in the first array. The input ports are configured to provide an optical input to an optical Fourier transform stage configured to perform at least one optical Fourier transform or convolution of the input function. The photonics device includes a plurality of output ports arranged in a second array, each output port arranged to receive a portion of an output of the optical Fourier transform stage and form an output stream. The photonics device includes a plurality of decoders, each decoder arranged to decode a second complex element from each of the output streams based on at least one characteristic of the respective output stream, the second complex element being a fully complex number.

A method of generating a revised layout for implementing a universal linear optical mesh is defined. The method comprises starting with a known layout of a universal optical mesh, wherein: the known layout of the universal linear optical mesh comprises: a plurality of waveguides; and a plurality of couplers distributed over a plurality of interaction stages, wherein each coupler couples two of the waveguides. The method further comprises generating the revised layout by: identifying in the known layout a first arrangement of three couplers across three consecutive waveguides and obtaining the revised layout by replacing the first arrangement of three couplers with a second arrangement of three couplers.

Systems and methods are provided for implementing and utilizing embedded quantum random number generator (QRNG) based devices. An optical device configured for use in quantum random number generation may have an integrated structure that includes, at least, an optical source configured to emit a light beam, a photodetector configured to detect light based on detection criteria, and a polarizer disposed between the optical source and the photodetector. The optical source, the photodetector, and the polarizer are directly integrated or embedded into the integrated structure. The polarizer is configured to process light based on polarization criteria that include passing or discarding light having a particular polarization. The optical device is configured for use in facilitating or enabling quantum random number generation based on detection of the light beam by the photodetector based on the detection criteria.

An entangled quantum system can be generated using entanglement-generating circuits that operate non-deterministically. Multiple instances of the entanglement generating circuit can be operated and outputs of successful instances can be propagated. The circuit can be implemented such that a photon that is part of the final output state passes through as few as one or two active switches from generation to the final output state.

A computing system includes a plurality of processing units and a plurality of emitters. Each emitter is coupled to at least one of the plurality of processing units and is configured to display an electromagnetic signal at a location of the emitter based on instructions from an associated processing unit. The computing system further includes an electromagnetic sensor configured to detect a collective electromagnetic signal from the plurality of emitters.

The invention belongs to the technical field of chip packaging, and particularly relates to a photoelectric sealed optical computing system and a working method thereof, and the system comprises a substrate, a first intermediate layer, at least one photon chip, at least two second intermediate layers, and at least two electronic chips. The system further comprises a processing capacity acquisition module, a first path selection module, a task type acquisition module and a second path selection module. Aiming at a chip packaging structure with more complex functions or larger data processing capacity (especially under the condition that the size of a photon chip is limited), the invention provides a leap-over type interconnection structure and a working method thereof, so that a system can dynamically optimize signal transmission according to task requirements while the heat dissipation performance is improved, and the reliability of the system is improved. Therefore, the performance, the reliability and the flexibility of the packaging structure are comprehensively improved.

A method for performing a number-theoretic transform (NTT), comprising: receiving an input vector; generating a modified input vector; calculating, using a Fourier transform device, a first Fourier tr

An optical apparatus for generating a plurality of adjusted optical signals is presented. The optical apparatus (305) includes at least one temporally incoherent light source (310) coupled to a plurality of amplitude adjusters (341, 342). Each amplitude adjuster is configured to attenuate or amplify an optical signal derived from the said at least one temporally incoherent light source (310) to provide a corresponding adjusted optical signal. Also presented is an optical computing system comprising the optical apparatus coupled to a processing device having a plurality of inputs for receiving the adjusted optical signals.

The application discloses an optoelectronic computing inverter, comprising a substrate, a first photosensitive unit and a second photosensitive unit formed on the substrate; wherein, in response to an input polarized light signal, the first photosensitive unit and the second photosensitive unit are alternatively turned on to output an inverted voltage signal corresponding to the polarized light signal, and the inverted voltage signal is defined as having an opposite sequence to the polarized light signal. The optoelectronic computing inverter provided by the application realizes integrated sensing and computing, that is, simultaneously realizes detection of the polarized light and processing of the detection information, and is favorable for reducing power consumption and reducing delay time.

The application provides an optical computing device, method, equipment and storage medium. The device comprises a processor configured to obtain a target vector and a target matrix to be subjected to multiplication calculation; the processor is further configured to decompose the target matrix to obtain at least one sub-matrix and a weight vector; a modulator configured to configure a phase difference of an optical computing unit in a corresponding optical computing array based on an element attribute of a matrix element in the sub-matrix; a laser configured to generate an optical signal; the modulator is further configured to configure a phase of the optical computing unit in the corresponding optical computing array based on an element attribute of a vector element in the target vector; an optical computing array configured to receive the optical signal and output a corresponding optical computing result; and the processor is further configured to perform weighted calculation on the optical computing result based on the weight vector to obtain a calculation result vector of the target vector and the target matrix. The application can reduce the complexity of the configuration of the optical computing unit and avoid information loss.

The giant dipole, a collective state of coherent dipole coupling, offers significant potential for quantum computing applications. An example method for detecting a giant dipole in a material can include applying, to a material comprising dipoles configured to couple to one another via dipole-dipole coupling, an optical pulse having a polarization; and detecting the giant dipole in the material based on one or more of: a time evolution of an excited energy state associated with a population of the dipoles, an emission signal in measured photoluminescence data of the material, or one or more temporal correlations between a first photoemission data obtained from the material and a second photoemission data obtained from the material.

The present application discloses an optical computing method based on an optical computing network structure, a device, a system, and a medium. The optical computing network structure comprises a plurality of preset computing units, and each preset computing unit comprises a Mach-Zehnder interferometer, a broadband phase shifter, and a plurality of micro-ring resonators. The method comprises: determining first modulation parameters for micro-ring resonators from a preset micro-ring modulation parameter range, wherein during matrix-matrix multiplication, the micro-ring resonators on an upper arm and a lower arm of an interferometer have the same first modulation parameter, and during different matrix-vector multiplications, any two of the micro-ring resonators on the upper arm and the lower arm of the interferometer have different first modulation parameters; according to a second modulation parameter, each broadband phase shifter performing phase delay modulation on light passing through the Mach-Zehnder interferometer, and according to a first modulation parameter, each micro-ring resonator performing phase modulation on the light passing through the Mach-Zehnder interferometer; and inputting an optical signal to be computed into an optical computing network structure to obtain an optical computing result output by the optical computing network structure.

The application discloses a multi-dimensional multiplexing hybrid integrated photonic computing core particle system, which comprises a multi-wavelength light source, a wavelength division demultiplexer, a hybrid integrated photonic chip, a filter array and a photodetector array, wherein the multi-wavelength light source encodes a problem to be solved and generates a multi-wavelength encoded optical signal containing the problem to be solved; the wavelength division demultiplexer fans out the multi-wavelength encoded optical signal to different channels and injects the multi-wavelength encoded optical signal into the hybrid integrated photonic chip; the hybrid integrated photonic chip loads weights on the encoded optical signals in the multiple channels to realize multiplication operation, and the processed optical signals enter a femtosecond laser direct writing chip to realize three-dimensional evolution of the optical signals and generate all-optical computing result signals; the filter array selectively filters the all-optical computing result signals containing two computing results, and the computing results are obtained through photoelectric conversion and amplitude determination of the photodetector array. The application realizes distributed computing to effectively solve a complex graph problem through multi-dimensional super-multiplexing of wavelength, three-dimensional space, amplitude and time and combining with optical interconnection technology, dividing a large-scale graph into manageable paragraphs through a three-dimensional femtosecond photonic chip architecture, and distributing the paragraphs to multiple photonic chips, and each chip processes a specific part of the graph.