406results about "Optical computing devices" patented technology

The invention relates to the technical field of edge computing, and discloses an intelligent edge computing co-processing system based on an integrated circuit, which comprises a heterogeneous computing cluster module, a hardware computing unit set, a multi-core control processor based on RISC-V, a programmable pulse tensor computing array and a reconfigurable engine oriented to streaming processing, according to the intelligent edge computing cooperative processing system based on the integrated circuit, zero-delay data exchange is realized through silicon intermediate layer integration of the heterogeneous computing cluster module and a snakelike data channel, and traditional bus arbitration delay is eliminated through real-time operation code analysis and optimal optical communication path mapping of the hardware task routing matrix (TRF) module; the priority path distribution of the task scheduling subsystem is synchronously coordinated with the time-sensitive task, so that the collaborative efficiency of the computing unit is improved in multiple dimensions, the non-blocking transmission of the high-priority task is ensured, and the effect of enhancing the overall processing capability and response speed of the intelligent edge computing is achieved.

The invention provides a photon parallel matrix convolution operation chip which can be applied to the technical field of integrated photonics and optical calculation. The chip is integrated by a 1 * N array waveguide grating, a 1 * 2 beam splitter array, an input matrix modulator array, two N * 1 array waveguide gratings, two 1 * N beam splitters, a weight matrix modulator array, an M * M array waveguide grating detector array and a detector array. Main functional devices are integrated in a monolithic mode, the system is compact, the complexity and power consumption of the system can be effectively reduced, and the calculation efficiency is improved.

The invention discloses an optical computing array based on micro-ring resonators without a free spectral range, which comprises an on-chip wavelength division multiplexing beam splitting array, an on-chip intensity modulation array, two groups of on-chip wavelength division multiplexing beam combining arrays and an on-chip balance detector, the on-chip wavelength division multiplexing beam splitting array and the on-chip wavelength division multiplexing beam combining array are respectively composed of a group of multiple FSR-free MRRs which share the same bus optical waveguide, each resonator corresponds to an independent wavelength channel, and the on-chip intensity modulator array is composed of a plurality of groups of on-chip MZI modulator arrays. According to the optical calculation array implementation method, independent control and coding calculation of different wavelength channels in a broadband wavelength range are realized by utilizing the single harmonic peak characteristic of the FSR-free MRR array and the wide-spectrum intensity modulation function of the MZI unit, the limitation of a free spectrum range on the optical calculation wavelength channel is eliminated, the higher wavelength parallelism is achieved, and the optical calculation array implementation method has the advantages of being simple in structure and convenient to implement. And therefore, the calculation scale is remarkably improved.

The invention relates to the field of optical chips, photoelectric fusion calculation and image recognition, and discloses an image processing acceleration method, system, chip and device based on photoelectric fusion, and the method comprises the following steps: receiving input image data, and transmitting the input image data to an FPGA chip; the invention also discloses a system which comprises the components of an upper computer which is used for receiving input image data and transmitting the input image data to the FPGA chip; the FPGA chip is used for converting a received digital signal into an analog signal and carrying out feature extraction and high-dimensional mapping through the optical chip; the invention also discloses a chip which comprises an optical calculation module configured to perform image feature extraction and high-dimensional mapping. According to the invention, the photoelectric fusion technology is combined with optical calculation and electronic calculation, so that the image processing speed, accuracy and energy efficiency are improved; feature extraction is accelerated by adopting an echo state network, and the calculation complexity is reduced; and meanwhile, through cooperative work of the FPGA and the GPU, data processing is optimized.

A calculation device of the present disclosure is characterized by implementing an item, which expresses a magnetic field, at each site by adding, to the conventional coherent Ising machine, a function for simulating the magnetic field item. Specifically, light having the amplitude of a predetermined sign is input in the conventional coherent Ising machine by dislocating an operation point of the push-pull-type optical modulator. When the operation point is dislocated to a + direction, DOPO (Degenerate Optical Parametric Oscillator) having the same wavelength as that of DOPO of an optical resonator and having a fixed initial phase difference from pump light into which the light is injected considerably tends to oscillate at 0 phase, and becomes reversed when the operation point is dislocated to a minus direction.

The invention discloses an optical calculation error adjustment method and system, a medium and a program product, and relates to the technical field of optical calculation, and the method comprises the steps: determining a unified correction deviation value corresponding to the phase noise of an interferometer array; a target function based on a correction deviation direction variable is generated with the minimum difference sum of squares between a measured light intensity value of the photoelectric detector array and an ideal light intensity value as a target; solving the objective function to obtain the optimal value of the correction deviation direction variable of each phase shifter; and sending the correction deviation direction variable optimal value and the unified correction deviation value of each phase shifter to control equipment, so that the control equipment adjusts each phase shifter at the same time. In this way, collective adjustment of all the phase shifters can be realized through the determined unified correction deviation value and in combination with the correction deviation direction variable optimal value of each phase shifter, extra overhead caused by independent calibration is avoided, complexity of light calculation noise mitigation is reduced, a noise mitigation process is accelerated, and output precision of light calculation equipment is improved.

The invention provides an optical signal synchronous calibration device and method of an optical computing system. The device comprises an optical probe array, an AI coprocessor, an optical path tuning engine and a low-speed electric feedback line, wherein the optical probe array is arranged on a chip; the optical probe array detects optical signals of wavelength channels corresponding to the plurality of optical calculation units and converts the optical signals into electric signals; the AI coprocessor drives a corresponding optical calculation unit to emit a detection pulse according to a pre-distributed time slot index variable, extracts a phase error from the electric signal and calculates a final calibration amount based on the phase error; the optical path tuning engine performs an optical path tuning operation based on the final calibration amount to calibrate an error of the corresponding optical calculation unit; and the low-speed electric feedback line transmits the electric signal to the AI coprocessor and transmits the detection pulse to the chip. According to the invention, through cooperation of spatial distributed detection and board-level centralized processing, real-time calibration in a dynamic environment is realized.

A method of operating an optical Fourier transform 'OFT' apparatus, the OFT apparatus comprising N input channels and K output channels, the method comprising: quantising the light at the input channels to form a quantised output at each output channel.

Systems and methods for increasing throughput of a photonic processor by using photonic degrees of freedom (DOF) are provided. The photonic processor includes a multiplexer configured to multiplex, using at least one photonic DOF, multiple encoded optical signals into a multiplexed optical signal. The photonic processor also includes a detector coupled to an output of an optical path including the multiplexer, the detector being configured to generate a first current based on the multiplexed optical signal or a demultiplexed portion of the multiplexed optical signal. The photonic processor further includes a modulator coupled to and output of the detector, the modulator being configured to generate a second current by modulating the first current.

The present invention belongs to the technical field of semiconductor optoelectronic devices, and specifically relates to an optical computing array based on a germanium modulator, comprising a cross matrix, wherein the cross matrix is ​​formed by crossing multiple rows of mutually parallel input optical waveguides and multiple columns of mutually parallel output optical waveguides; and a photodetector is provided at the output end of each column of the output optical waveguide; multiple optical splitters; multiple germanium modulators, each of the germanium modulators corresponds to one of the cross waveguides, and the first input end of the germanium modulator is connected to the output end of the optical splitter through a transmission optical waveguide; and multiple optical combiners, each of the optical combiners is respectively connected to the output end of the germanium modulator and the output optical waveguide. Through the above structure, the present application comprehensively provides a computing array with a high responsiveness having a thermal compensation mechanism and capable of reducing light reflection, so as to realize a solution for a low-power large-scale integrated computing array under the condition of frequent switching.

A large-scale distributed photoelectric intelligent computing system, including: a diffractive compression encoder, configured to collect two-dimensional light field information through a grating array, convert the two-dimensional light field information into one-dimensional information through waveguide transmission and transmit the one-dimensional information to a first diffractive region, and perform computing using a diffractive coding weight to output a one-dimensional vector through an output end of the first diffractive region; a reconfigurable interference feature embedder consisting of an interferometer array composed of a plurality of thermo-optical phase modulators, in which the interferometer array is configured to perform a multiplication operation on the one-dimensional vector, to output a computed result in a one-dimensional vector form; and a diffractive decoder, configured for diffractive decoding the computed result in the one-dimensional vector form through a second diffractive region, to compute and output final light field information through a diffractive decoding weight.

The invention discloses a renewable energy source data clustering method and system based on an optical quantum computer, and the method comprises the steps: building a renewable energy source data clustering optimization problem based on a quadratic unconstrained binary optimization (QUBO) model based on a discrete optimization objective function, carrying out the matrix of the objective function, carrying out the clustering optimization of the objective function through a kernel method, and carrying out the clustering optimization of the objective function. The method comprises the following steps of: establishing a target function item, converting the target function item into a matrix form, constructing a matrix of a new clustering model, finally solving a new QUBO optimization problem by using CIM, and converting the new QUBO optimization problem into an optimal clustering result. According to the method, data similarity measurement is improved by constructing the QUBO model and combining a kernel method, and a renewable energy source data clustering problem is converted into a form suitable for CIM solution, so that the calculation bottleneck of a classical calculation method in high-dimensional data processing is avoided. According to the method, the nonlinear characteristic of the data can be kept, efficient clustering optimization calculation can be realized, and the calculation efficiency and the clustering precision are remarkably improved.

An optical computing device includes an optical computing section including a first transmissive optical modulation element having cells each having an independently set phase modulation amount. The first transmissive optical modulation element emits a signal light, in a signal direction, generated when transmitted light beams phase-modulated by the cells interfere with each other and a noise light, in a noise direction, transmitted through the first transmissive optical modulation element without being phase-modulated by the cells. The optical computing device includes an optical sensor that detects the signal light outputted from the optical computing section and generates an electrical signal indicating a result of the detection. The first transmissive optical modulation element is configured such that an impact that the noise light has on the electrical signal is smaller than the impact in a state where the signal direction aligns with the noise direction.

An optical computing device includes: one or more light-diffraction elements each of which includes microcells, wherein each of the microcells has an individually set thickness or refractive index; and an optical signal input section that simultaneously inputs an optical signal and a delayed optical signal obtained by delaying the optical signal to the one or more light-diffraction elements.

The invention relates to a reconfigurable metasurface analog calculator based on a lithium niobate film. The reconfigurable metasurface analog calculator comprises a substrate and a lithium niobate unit, the plurality of lithium niobate units are periodically arranged on the substrate to form a metasurface structure, and the cross section of each lithium niobate unit is an isosceles trapezoid; incident light vertically enters the metasurface structure, and the transmission coefficient and phase distribution of the metasurface structure are changed by changing external bias voltage applied to the lithium niobate units, so that conversion and reconstruction of a mathematical operation function are realized; the mathematical operation comprises first-order differential operation, second-order differential operation and integral operation. According to the invention, different external bias voltages are applied to the periodically arranged lithium niobate units, so that the transmission coefficient and phase distribution of incident light by the metasurface structure can be accurately regulated and controlled, and the same metasurface device can be flexibly switched among different mathematical operation functions such as first-order differential, second-order differential and integral. And various calculation functions can be realized without changing a physical structure.

The invention relates to the technical field of vehicle-mounted computing, in particular to a dynamic energy efficiency management and emergency redundancy processing device and method for vehicle-mounted heterogeneous computing, and the device comprises a reconfigurable computing array which is used for carrying out dynamic partitioning and resource scheduling on an FPGA (Field Programmable Gate Array) logic unit; the multi-protocol converged communication panel is used for receiving a plurality of sensor data input into the reconfigurable computing array and carrying out mixed scheduling on the plurality of sensor data; the AI resource scheduling engine is used for redistributing computing power in the reconfigurable computing array according to the biological characteristics and a pre-constructed reinforcement learning dynamic energy efficiency model; and the three-level emergency redundant equipment is used for switching a main power supply, activating a preset optical calculation standby channel and starting V2X point cloud reconstruction when a main calculation unit in the reconfigurable calculation array breaks down so as to release nuclear explosion calculation power. Therefore, the problems of dynamic energy efficiency deficiency, redundancy mechanism insufficiency, multi-sensor conflict and the like of an existing vehicle-mounted computing system are solved.

To provide a light-gated element including a light sensing layer capable of responding to light stimulation and exhibiting neuromorphic characteristics, and a method of manufacturing the same.SOLUTION: A method of manufacturing a light-gated element comprises: preparing a first heating furnace and a second heating furnace spaced apart from each other in the same space; positioning a second precursor, which is prepared by mixing tungsten trioxide (WO3) as a transition metal oxide and sodium chloride (NaCl) as a metal halide salt in the second heating furnace, and a substrate to be adjacent to the second precursor; forming a light sensing layer including a transition metal dichalcogenide flake on top of the substrate; and performing vapor deposition of a source electrode and a drain electrode to form junctions in the light sensing layer; and forming a gate electrode under the substrate; where a mixing ratio of the transition metal oxide and the metal halide salt is between 5:1 and 7:1 by weight, and where the light-gated transistor is a logic element that performs an AND or OR logical operation.SELECTED DRAWING: Figure 1

An optical processing system comprises an Optical Fourier transform stage; and one or more photodetectors for receiving a reference optical signal to provide currents and / or voltages relating to the intensities and / or phases of the reference optical signal; the system further comprising an electronics feedback loop which feeds back the currents and / or voltages and modulates the intensities and / or phases of a subsequent optical signal.

The exponential growth in deep learning models is challenging existing computing hardware. Optical neural networks (ONNs) accelerate machine learning tasks with potentially ultrahigh bandwidth and nearly no loss in data movement. Scaling up ONNs involves improving scalability, energy efficiency, compute density, and inline nonlinearity. However, realizing all these criteria remains an unsolved challenge. Here, we demonstrate a three-dimensional spatial time-multiplexed ONN architecture based on dense arrays of microscale vertical cavity surface emitting lasers (VCSELs). The VCSELs, coherently injection-locked to a leader laser, operate at gigahertz data rates with a 7T-phase-shift voltage on the 10-millivolt level. Optical nonlinearity is incorporated into the ONN with no added energy cost using coherent detection of optical interference between VCSELs.

Described herein are embodiments of a photonic computing system comprising one or more processors in communication with disaggregated memory through one or more optical channels. The disaggregated memory comprises multiple memory units placed on a photonic substrate that includes a photonic network that can be programmed to configure which of the memory units can be accessed by each of the processor(s). The disaggregated memory includes a memory controller for reading and writing data to / from the memory units. The memory controller may be configured to perform processing in concert with the processor(s).

The present invention belongs to the technical field, and specifically relates to an optical computing module and an optical computing array, comprising: a cross-arranged input optical waveguide and an electrical bus, the input end of the input optical waveguide being provided with a splitter, the output end of the splitter being connected to the first input end of a photoelectric signal processing unit via a transmission optical waveguide, the output end of the photoelectric signal processing unit being connected to the electrical bus, which is completely different from the discrete optical computing unit scheme in the prior art. The present application adopts an independent photoelectric signal processing unit, which can realize the rapid conversion of unmodulated optical signals into electrical signals, and its volume remains basically unchanged from the size of the detector device in the prior art, thereby making the size of a single optical computing unit smaller, thereby realizing a larger-scale matrix compared to the existing scheme, and avoiding the problem of difficult wiring of existing discrete devices. Its life performance is the same as that of conventional silicon-based devices, and can meet the frequent switching requirements of training levels.

An artificial neuron unit for processing a signal is presented, comprising: a fiber-based optical processing unit having first and second optical input ports and first and second optical output ports, configured and operative to controllably apply optical processing to incoherent input optical signals to generate first and second weighted combined optical signals; and an electro-optical processing unit configured and operative to process the first and second weighted combined optical signals, the electro-optical processing unit configured and operative to generate a weighted sum output of the artificial neuron unit by successively performing the steps of applying a predetermined mathematical function to the first and second weighted combined optical signals corresponding to positive and negative weights to generate a resultant signal, and applying nonlinear processing to the resultant signal to convert the resultant signal into an optical output signal indicative of the weighted sum output of the artificial neuron unit.

The invention relates to a method for matrix multiplication and / or vector multiplication, in particular for matrix-vector multiplication, with features of claim 1 and a device (30) for matrix multiplication and / or vector multiplication, in particular for matrix-vector multiplication, with features of the dependent claim.

The invention discloses an optical calculation chip matrix weight control precision measurement and calibration device and method, and the device mainly comprises a photoelectric detector array module which is used for carrying out the photoelectric signal conversion of an optical signal outputted by an optical calculation chip, a parameter extraction and analysis module which is used for collecting an electric signal, and a calibration module. Calculating the matrix weight control precision and the control rate of the optical calculation chip; and the environment compensation and closed-loop control module is used for monitoring the environment temperature of the optical computing chip and performing compensation calibration control on the bias voltage of the optical computing chip based on the change of the temperature so as to realize accurate regulation and control on the matrix weight. According to the device and the method, the matrix weight control precision and the control rate can be accurately measured, external environment change parameters are accurately sensed, voltage parameters in weight control are changed through a compensation algorithm, and high performance and reliable operation of an optical calculation chip are effectively guaranteed.

The invention belongs to the technical field of semiconductor optoelectronic devices, and particularly relates to an optical computing array based on a reverse bias germanium modulator, which comprises a cross matrix formed by crossing a plurality of rows of mutually parallel input optical waveguides and a plurality of columns of mutually parallel output optical waveguides, a photoelectric detector is arranged at the output end of each row of output optical waveguides; a plurality of optical splitters; each germanium modulator corresponds to one crossed waveguide, and the first input end of each germanium modulator is connected with the output end of the optical splitter through a transmission optical waveguide; each light combiner is connected with the output end of the germanium modulator and the output optical waveguide, through the above structure, the computing array which has a thermal compensation mechanism, can reduce light reflection and is high in responsivity is comprehensively provided, and therefore under the condition that frequent switching is met, the computing array has the advantages that the computing efficiency is improved, and the computing efficiency is improved. And a low-power-consumption large-scale integrated calculation array scheme is realized.

The invention relates to an opto-electronic hybrid computing system capable of completing accurate matrix vector multiplication computation in a shorter clock period. Comprises: a storage unit storing a first input vector composed of K * b-bit elements and a first weight matrix; the driving unit is used for respectively splitting the first input vector and the first weight matrix into K second input vectors and K second weight matrixes consisting of b-bit elements, and respectively carrying out digital-to-analog conversion on the K second input vectors and the K second weight matrixes into K groups of first electric signals and K groups of second electric signals; and modulating the K groups of first electric signals and the K groups of second electric signals into corresponding groups of first optical signals of the K groups of first optical signals based on wavelength, and performing product accumulation, intra-group summation and photoelectric conversion on the obtained K groups of second optical signals to obtain 2K-1 groups of third electric signals, and the photoelectric hybrid calculation unit is used for carrying out analog-to-digital conversion, shift register and summation on the corresponding third electric signals in each group of third electric signals so as to obtain an output vector.

The invention discloses a photon processor, a data identification method, a data identification device, data identification equipment, a medium and a product, and relates to the field of optical calculation. Wherein the operation process simulation optical path comprises a plurality of tunable photonic devices which are deployed according to a one-time iterative operation process of a matrix to be calculated, and two optical path output channels of the loop iteration control optical path are respectively communicated to the input end of the operation process simulation optical path and the result reading optical path. An optical path switching control device transmits optical compensation signals output by previous k-1 iterative operations to an operation process simulation optical path for next iterative operations, optical compensation signals of the (k-1) th and kth iterative operations are transmitted to a result reading optical path, and the result reading optical path transmits the (k-1) th iterative operation result to the operation process simulation optical path. And obtaining feature data according to results of the two operations. The problem that photoelectric / electro-optical conversion needs to be repeated for multiple times in the prior art can be solved, the data processing efficiency is effectively improved, and resources are saved.

The application discloses an optoelectronic computer based on time domain all-optical signal serial-parallel hybrid computing, which is composed of an electrical transceiving module, a light source module, a linear matrix vector computing module, a summation separation module and a nonlinear activation module.The application adopts time sequence encoding serial input, and multiple input signals are simultaneously and parallelly calculated, so that all computing steps of a full connection neural network, i.e., linear calculation, summation operation and nonlinear activation, can be completed in the optical domain, and the host end only needs to send input data and receive the final computing result.The application has the following advantages compared with other comparative applications: multiple matrix-vector multiplication operation can be completed in parallel; only one optical element is used to complete summation and nonlinear activation operation on multiple multiplication vectors, thereby reducing the hardware deployment pressure; and the bandwidth loss of a pure serial time domain computing method is relieved through serial-parallel hybrid encoding in the time domain, and the computer computing speed is improved.

A light diffraction element unit includes an optically-transparent substrate; a light diffraction element disposed on a main surface of the optically-transparent substrate; and a three-dimensional alignment mark disposed on the main surface in a vicinity of the light diffraction element and having a thickness greater than a thickness of the light diffraction element.