G06E3/00

Potts Model Calculation Device

A Potts model computing device capable of computing a Potts problem that is a multivalued spin problem are described herein. The Potts model computing device includes: an Ising model computing device; a computation result storage and determination unit configured to store a value of a spin of the Ising model obtained in a case where a coupling coefficient is set in the Ising model computing device and to determine whether a computation is finished; and a coupling coefficient overwriting unit configured to update a coupling coefficient generated based on the stored value of the spin to the Ising model computing device. According to a value of a set of spins obtained as a computation result corresponding to a coupling coefficient set for an m-th time in the Ising model computing device, the coupling coefficient overwriting unit generates again a coupling coefficient to be set for an (m+1)-th iterative computation.

Holographic computer system
10755192 · 2020-08-25 ·

A method and apparatus used for general purpose problem solving using entanglement properties of holography. Intelligent point-based entities having spatial and other electromagnetic properties called DROPLETS [Data-Representative-Object-Particle(s)-Liking-EnTanglement] are generated as avatars, or delegate objects, connected to concrete or abstract data sources representing a situation, event or other problem. Each DROPLET's properties are controlled by changes in the input sources, feedback, changes in itself, and/or changes of other DROPLETS. Coherent rays are introduced and interact with said DROPLETS, generating an INTELLIGENCE WAVEFRONT. Interference patterns are recorded and converted to binary machine codes used as instruction keys to store and lock human readable and/or machine readable content components into a plurality of associative memories. Said content includes waveforms, harmonics, codes, data, and other holograms. Upon recognition of future like-patterns of situations, events and other problems, the appropriate content components, which are dispersed and stored wholistically throughout the system using spread spectrum techniques, are rapidly unlocked, retrieved and presented as solutions or partial solutions. Hardware, software, and hybrid hardware and software embodiments are envisioned. In conclusion, to the inventors' knowledge, there is no precedent in the prior art that is capable of analyzing or solving problems of wide latitude of complexity using the least understood, least recognized, enfoldment properties of the science of holography. In the case of the Holographic Computer System, this enfoldment, or quantum-like entanglement, is made to serve as a practical and effective general purpose problem solving tool. Although the foregoing description contains many specifics, these are not to be construed as limiting the scope of the present invention, but merely as providing certain exemplary embodiments. Similarly, other embodiments of the invention may be devised which do not depart from the spirit or scope of the present invention. The scope of the invention is, therefore, indicated and limited only by the appended claims and their legal equivalents, rather than by the foregoing description. All additions, deletions, and modifications to the invention, as disclosed herein, which fall within the meaning and scope of the claims are encompassed by the present invention.

Holographic computer system
10755192 · 2020-08-25 ·

A method and apparatus used for general purpose problem solving using entanglement properties of holography. Intelligent point-based entities having spatial and other electromagnetic properties called DROPLETS [Data-Representative-Object-Particle(s)-Liking-EnTanglement] are generated as avatars, or delegate objects, connected to concrete or abstract data sources representing a situation, event or other problem. Each DROPLET's properties are controlled by changes in the input sources, feedback, changes in itself, and/or changes of other DROPLETS. Coherent rays are introduced and interact with said DROPLETS, generating an INTELLIGENCE WAVEFRONT. Interference patterns are recorded and converted to binary machine codes used as instruction keys to store and lock human readable and/or machine readable content components into a plurality of associative memories. Said content includes waveforms, harmonics, codes, data, and other holograms. Upon recognition of future like-patterns of situations, events and other problems, the appropriate content components, which are dispersed and stored wholistically throughout the system using spread spectrum techniques, are rapidly unlocked, retrieved and presented as solutions or partial solutions. Hardware, software, and hybrid hardware and software embodiments are envisioned. In conclusion, to the inventors' knowledge, there is no precedent in the prior art that is capable of analyzing or solving problems of wide latitude of complexity using the least understood, least recognized, enfoldment properties of the science of holography. In the case of the Holographic Computer System, this enfoldment, or quantum-like entanglement, is made to serve as a practical and effective general purpose problem solving tool. Although the foregoing description contains many specifics, these are not to be construed as limiting the scope of the present invention, but merely as providing certain exemplary embodiments. Similarly, other embodiments of the invention may be devised which do not depart from the spirit or scope of the present invention. The scope of the invention is, therefore, indicated and limited only by the appended claims and their legal equivalents, rather than by the foregoing description. All additions, deletions, and modifications to the invention, as disclosed herein, which fall within the meaning and scope of the claims are encompassed by the present invention.

Classifying microbeads in near-field imaging
10753851 · 2020-08-25 · ·

Among other things, an imaging sensor includes a two-dimensional array of photosensitive elements and a surface to receive a sample within a near-field distance of the photosensitive elements. Electronics classify microbeads in the sample as belonging to different classes based on the effects of different absorption spectra of the different classes of microbeads on light received at the surface. In some examples, the number of different distinguishable classes of microbeads can be very large based on combinations of the effects on light received at the surface of the different absorption spectra together, spatial arrangements of colorants in the microbeads that impart the different absorption spectra, different sizes of microbeads, and different shapes of microbeads, among other things.

Optical sensor optimization and system implementation with simplified layer structure

This disclosure includes methods for designing a simplified Integrated Computational Element (ICE) and for optimizing a selection of a combination of ICE designs. A method for fabricating a simplified ICE having one or more film layers includes predicting an optimal thickness of each of the one or more film layers of the simplified ICE using a neural network. A method for recalibrating the fabricated ICE elements for system implementation is also disclosed. The disclosure also includes the simplified ICE designed by and the ICE combination selected by the disclosed methods. The disclosure also includes an information handling system with machine-readable instructions to perform the methods disclosed herein.

Method for phase-based photonic computing
10656336 · 2020-05-19 · ·

A system for photonic computing, preferably including an input module, computation module, and/or control module, wherein the computation module preferably includes one or more filter banks and/or detectors. A photonic filter bank system, preferably including two waveguides and a plurality of optical filters optically coupled to one or more of the waveguides. A method for photonic computing, preferably including controlling a computation module, controlling an input module, and/or receiving outputs from the computation module.

Systems and methods to maintain phase relations of an optical signal in a photonic dot product engine

A photonic device configured to perform matrix vector multiplication operations at high frequencies is provided. The vector being multiplied by the matrix is defined by vector components at specific wavelengths. The device includes a first waveguide and a second waveguide. A series of tunable microring resonators (MRRs) are coupled to the first waveguide and to a respective series of passive delay rings (PDRs), which are coupled to the second waveguide. Each MRR/PDR pair defines a tunable matrix component (tunable weight) for a respective wavelength component of the vector. A series of controllable delay elements (CDEs) such as all-pass filters are coupled to the first waveguide, upstream from the tunable MRRs. Any tuning dependent group delay caused by the MRR/PDR pairs can be compensated by controlling the CDEs such that each wavelength components has substantially a same delay as the other wavelength components.

METHOD FOR PHASE-BASED PHOTONIC COMPUTING
20200150345 · 2020-05-14 ·

A system for photonic computing, preferably including an input module, computation module, and/or control module, wherein the computation module preferably includes one or more filter banks and/or detectors. A photonic filter bank system, preferably including two waveguides and a plurality of optical filters optically coupled to one or more of the waveguides. A method for photonic computing, preferably including controlling a computation module, controlling an input module, and/or receiving outputs from the computation module.

MATRIX MULTIPLICATION USING OPTICAL PROCESSING

Systems and methods for performing matrix operations using a photonic processor are provided. The photonic processor includes encoders configured to encode a numerical value into an optical signal and optical multiplication devices configured to output an electrical signal proportional to a product of one or more encoded values. The optical multiplication devices include a first input waveguide, a second input waveguide, a coupler circuit coupled to the first input waveguide and the second input waveguide, a first detector and a second detector coupled to the coupler circuit, and a circuit coupled to the first detector and second detector and configured to output a current that is proportional to a product of a first input value and a second input value.

Reservoir computing operations using multi-mode photonic integrated circuits

Under one aspect, a method for performing an operation is provided. The method can include receiving, by different physical locations of a multi-mode waveguide, an input signal and a plurality of coefficients imposed on laser light. The method also can include generating, by the multi-mode waveguide, a speckle pattern based on the different physical locations, the input signal, and the plurality of coefficients. The method also can include adjusting at least one of the coefficients based on the speckle pattern.