173results about "Optical computing devices" patented technology

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.

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 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.

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.

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.

This invention relates to an optical Ising calculation method and system based on dual digital micromirror devices (DMDs). First, the combinatorial optimization problem is mapped to an Ising model. Multiple mask vectors are constructed, and each mask vector is decomposed into multiple binary bit planes. A spin configuration matrix is ​​constructed and loaded into DMD-A. For each mask vector, its binary bit planes are sequentially loaded into DMD-B. The light intensity modulated by the two DMDs is collected and processed. The optical inner product is obtained by combining the bit-weighted components, and then the energy contribution value of the mask vector is calculated. The total Hamiltonian is obtained by summing all contributions. The energy difference is calculated by randomly flipping the spins and repeating the above steps. The probability of accepting the current flip is calculated based on the energy difference. This process is iterated until the maximum number of iterations is reached to obtain the final solution. The system is used to implement the above method. Compared with the prior art, this invention can achieve a high-speed, stable, and coherently independent optical Ising solution method.

A photoelectric computing unit, a photoelectric computing array and a photoelectric computing method. The photoelectric computing unit comprise a semiconductor multifunctional region structure, which comprises at least one carrier control region, at least one coupling region, and at least one photon-generated carrier collection region and readout region.

A computer-implemented method includes a computer-implemented method can include receiving telematics data comprising information related to one or more driving behaviors of a user. The telematics data is received from one or more sensors located in a vehicle when the user is operating the vehicle. The method also can include determining one or more user characteristics of the user based at least on the telematics data. The method additionally can include selecting an advertisement from a plurality of advertisements based at least on the one or more user characteristics. Other embodiments are described.

The application discloses an optical multiplier system for processing high-speed data flow and a method thereof, and belongs to the technical field of semiconductors, comprising a stibonium quantum well laser, an intensity modulator, a phase modulator, a balanced homodyne detector and an oscilloscope; the stibonium quantum well laser is used as a light source, light signals output by the stibonium quantum well laser are evenly divided into two light beams by a Y-type beam splitter, and the two light beams are defined as x-vector light beams and y-vector light beams respectively; the two light beams sequentially pass through the intensity modulator and the phase modulator to complete real number and complex number coding; after the two light beams are coupled by a beam splitter / coupler, the two light beams are input to the balanced homodyne detector for detection, and the photocurrent output by the balanced homodyne detector is calculated to obtain a differential current, the differential current is collected and displayed in real time by the oscilloscope, and the differential current is the vector point multiplication operation result corresponding to the two vector light beams. The application has the characteristics of low cost, low energy consumption, high speed, expandability and the like.

Embodiments of the present disclosure are directed to a photonic implementation of a processor for message generation for digital currency (e.g., bitcoin) transactions. The processor includes an input photonic circuit and a message generation photonic circuit coupled to the input photonic circuit via a first set of optical connections. The input photonic circuit receives input data of a first size and splits the received input data into a plurality of input messages of a second size. The message generation photonic circuit receives the plurality of input messages from the input photonic circuit via the first set of optical connections, and generates a plurality of output messages of the second size based at least in part on the plurality of input messages.

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

The invention discloses a photon data stream processing method for an image classification feature extraction stage, which is applied to the feature extraction stage of image classification, and realizes maximum multiplexing of an input feature map by partitioning and mapping the input feature map according to DNN convolutional layer parameters; the method comprises the following steps of: carrying out electro-optical conversion on an input feature block, modulating the input feature block into a multi-wavelength optical signal, and then carrying out wavelength division multiplexing (WDM) one-to-many broadcast distribution, so that full broadcast of the optical signal is realized; optical domain product accumulation operation is executed through the PCU, so that the throughput calculation speed is increased; and finally, obtaining an output characteristic pattern under the combined action of a photoelectric detector and an ADC (Analog to Digital Converter).

The embodiment of the invention provides a photon calculation chip, and the photon calculation chip comprises a multilayer diffraction neural network and a photoelectric detector, the multilayer diffraction neural network is used for carrying out the phase regulation of an input optical signal, and obtaining a mixed light field in an OAM mode; and the photoelectric detector is used for converting the mixed light field in the OAM mode into light currents adaptive to different ports. A mixed light field in an OAM mode is output after an optical signal is processed, and then the mixed light field is transmitted to a photoelectric detector for processing, so that information propagation and processing can be carried out by using the OAM degree of freedom of light, the information propagation and processing are not limited to traditional intensity, phase or polarization regulation and control, but by means of an inherent infinite-dimensional orthogonal space of the OAM mode, the information propagation and processing efficiency is greatly improved. And parallel transmission and high-dimensional coding with higher capacity are realized.

Disclosed is a wideband device (D) for measuring the cross-correlation of a first signal and a second signal, comprising: a first frequency-shift optical cavity (DBDF, BDF1) comprising a first frequency shifter (AOM1) capable of shifting the optical frequency of the first signal from a first frequency f1 by going back-and-forth in the first cavity, the first cavity having a first time-of-flight τ1; a second frequency-shift optical cavity (DBDF, BDF2) comprising a second frequency shifter (AOM1 ) capable of shifting the optical frequency of the second signal from a second frequency f2 by going back-and-forth in the second cavity, the second cavity having a second time-of-flight τ2; the first and the second optical cavity being designed so that a maximum number of trips back-and-forth of the first and second signal in the first and second cavity is equal to predetermined N, a detector (PD) suitable for coherently detecting the first signal transmitted by the first cavity and the second signal transmitted by the second cavity and generating a photocurrent (Tr) proportional to a luminous intensity detected by the detector, a low-pass filter (LP) suitable for filtering frequencies of the photocurrent below min (I), a processor (UT) configured to calculate a Fourier transform of the photocurrent, so as to generate an output signal (SS) that is representative (II).

The application belongs to the technical field of semiconductor optoelectronic devices, and particularly relates to a light computing array based on a reverse bias germanium modulator, which comprises a cross matrix formed by multiple rows of parallel input light waveguides and multiple columns of parallel output light waveguides; an optical detector is arranged at the output end of each column of the output light waveguides; multiple light splitters; multiple germanium modulators, each corresponding to one cross waveguide, and the first input end of the germanium modulator being connected with the output end of the light splitter through a transmission light waveguide; and multiple light combiners, each being connected with the output end of the germanium modulator and the output light waveguide. Through the above structure, the application comprehensively provides a high-response computing array with a thermal compensation mechanism and capable of reducing light reflection, so as to realize a scheme of a large-scale integrated computing array with low power consumption under the condition of meeting frequent switching.

The invention provides an optical processing chip and an optical computing system, and relates to the technical field of photoelectronics. The optical coupling structure comprises an optical coupling structure, a micro-nano superstructure and an optical signal receiving structure. The first surface of the optical coupling structure is provided with a plurality of optical output ports used for outputting a plurality of first optical signals. The micro-nano superstructure is arranged on the first surface and comprises a plurality of superstructure units, and orthographic projections of the superstructure units on the first surface cover the light output ports in a one-to-one correspondence mode. Each super-structure unit comprises a plurality of nano-columns which are arranged at intervals and used for processing a plurality of first optical signals into second optical signals, and the first optical signals are different from the second optical signals. And the optical signal receiving structure is connected with the micro-nano metamaterial structure, and the optical signal receiving structure is configured to receive the second optical signal and obtain information carried by the second optical signal. Parallel computing is realized by using a plurality of superstructure units, so that the computing efficiency of the optical processing chip is improved, and meanwhile, the integration level of the optical processing chip is enhanced.

An optical computing chip and system, and a data processing technology are disclosed. The optical computing chip includes a light source array (202), a first concave mirror (208), and a modulator array (204). The light source array (202) is located on an objective focal plane of the first concave mirror (208). The modulator array (204) is located on an image focal plane of the first concave mirror (208). The light source array (202) generates a first optical signal based on first data (502). The first concave mirror (208) outputs a first reflected optical signal based on the first optical signal (504). The modulator array (204) receives the first reflected optical signal, obtains first spectrum plane distribution data based on the first reflected optical signal (506), and modulates the first spectrum plane distribution data onto the modulator array (508).

The application provides an optoelectronic hybrid analog iterative computing device. The optoelectronic hybrid analog iterative computing device comprises a laser generating module, a first beam distribution module, an optoelectronic modulation module, a second beam distribution module, a photonic multiplication and addition module and an iteration module. Through making the proportional operation and the differential operation in the iteration module completed by optical signals, the electric computing processing and the optoelectronic conversion processing in the whole device can be greatly reduced, so that the energy consumption and the computing time delay can be significantly reduced, the bandwidth of the system can be effectively improved, and the precision of the iterative computation can be improved.

There are provided optical quantum logic gate (OQLG) characterized by 2n∗2n unitary matrix and method of operating thereof. OQLG comprises first optical structure comprising 2n optically-coupled cores with one-to-one correspondence to input binary values specified by the matrix and second optical structure optically connected to the first optical structure and comprising 2n amplifying channels corresponding to the 2n cores. The first optical structure is configured to receive photons in binary fundamental quantum states (FQSs) representing input binary values specified by the matrix and to inject the received photons in the 2n cores, use optical coupling between the cores to mix the injected photons, and output photons into the second optical structure, wherein outputted mixed photons correspond to output binary values specified by the matrix. The second optical structure is configured to amplify, in a controllable manner, photons in the amplifying channels with preserving the FQSs and relative quantities of photons with different FQSs.

An apparatus for performing vector x vector multiplication in the optical domain, the apparatus including: a plurality of optical signal generators, each optical signal generator arranged to emit a beam of light having a different respective carrier wavelength modulated by an input signal that models a respective variable of a vector of variables; one or more sets of optical modulator elements, each optical modulator element in each set arranged to receive the beam of light modulated by a different one of the input signals and to apply a corresponding weighting from the vector of weights to generate a weighted optical signal; each set of optical sensor elements of the sets; and one or more optical combiner elements arranged to direct each set of weighted optical signals onto a respective optical sensor element, thereby generating a respective output in the form of an analog electronic signal that sums the weighted optical signals of each set.

Embodiments disclosed herein are directed computing systems for solving Boolean satisfiability (SAT). In some embodiments, the computing systems may be all-optical computing systems. Operations within the computing systems may be based on an optical encoding of a Boolean SAT problem, particularly for performing matrix-vector or vector-vector multiplication in an optical domain. An optical random access memory may include a plurality to individually addressable optical cavities, each cavity storing a corresponding variable as resonating optical pulses. The optical domain computations may be performed by offset circuits that provide an offset to variables loaded from the optical random access memory, multiply and accumulate circuits that generate products of the offset variables, and feedback circuits that feed back the products to the optical random access memory.

An optical multiplication system comprises: a beam replication arrangement receiving input beams encoding an input vector and producing a plurality of spatially-separated replica beams; a modulator configured to encode values of a matrix and modulate the replica beams according to the encoded matrix values; and a light-summing optical arrangement converging the modulated replica beams to encode an output vector representing a result of multiplying the matrix by the input vector. The system comprises an optical input arrangement providing the input beams and comprising a three-dimensional light-guide providing the plurality of input beams to the beam replication arrangement as a two-dimensional array of input beams.

This enables the creation of an ion trap chip with high photon collection efficiency. [Solution] The ion trap chip (1) comprises an electrode substrate (10) that holds ions (I) which become qubits in space, a first optical circuit board (300) having a first optical waveguide (110), and a light-receiving unit (120) that receives photons emitted from the ions and introduces the photons into the first optical waveguide, with the light-receiving unit facing the electrode substrate with the ions in between.

The present invention provides a physical quantity change detection device, a robot system, and a physical quantity change detection method that can reduce the processing load and increase the processing speed. [Solution] The physical quantity change detection device 1 comprises a structure 3 that outputs a speckle pattern of light L when light L is incident on it, and a structure 3 whose output speckle pattern changes when a physical quantity related to the structure 3 changes due to the external environment, and an optical neural network unit 21 that performs neural network calculations on the input light and outputs output light representing the calculation result, and a processing unit 4 that acquires a value corresponding to the change in the physical quantity by an acquisition process that includes inputting at least a part of the speckle pattern to the optical neural network unit 21.

The embodiment of the invention provides a photon chip, and belongs to the field of optical calculation. The photonic chip includes: an optical convolution layer integrated with a plurality of convolution kernels for receiving an input optical signal, performing a convolution operation on the input optical signal to generate a plurality of intermediate optical signals, and outputting the plurality of intermediate optical signals; the optical full connection layer is used for receiving the plurality of intermediate optical signals and generating an output optical signal according to the plurality of intermediate optical signals; wherein the optical convolution layer comprises an upper sampling layer and a lower sampling layer, the object distance of the upper sampling layer is smaller than the image distance, the object distance of the lower sampling layer is larger than the image distance, the object distance is the distance between the input plane and the optical convolution layer, and the image distance is the distance between the optical convolution layer and the output plane. According to the photon chip provided by the embodiment of the invention, the calculation efficiency and the parallel processing capability of the photon chip can be improved, the energy consumption of the photon chip is reduced, and the integration level and the expandability of the optical convolutional neural network are enhanced.

Optical devices can be configured for use in quantum random number generation. [Solution] The optical device may include a light source configured to emit a light beam, a photodetector configured to detect light, and a polarizer positioned between the light source and the photodetector, wherein the polarizer is configured to selectively pass light having a specific polarization. The optical device may include a package comprising at least the light source, the photodetector, and the polarizer. The polarizer is configured to selectively pass a light beam when it has a polarization that matches a specific polarization. The optical device includes one or more mitigation functions for mitigating optical feedback to the light source. The optical device is configured for use in facilitating or enabling quantum random number generation (QRNG) based on the detection of a light beam by the photodetector.