Patent classifications
G06N3/0675
ELECTRONIC-PHOTONIC PROCESSORS AND RELATED PACKAGES
Electronic-photonic packages and related fabrication methods are described. A package may include a plurality of photonic integrated circuits (PICs), where each PIC comprises a photonic accelerator configured to perform matrix multiplication in the optical domain. The package may further include an application specific integrated circuit (ASIC) configured to control at least one of the photonic accelerators. The package further includes an interposer. The plurality of PICs are coupled to a first side of the interposer and the ASIC is coupled to a second side of the interposer opposite the first side. A first thermally conductive member in thermal contact with at least one of the PICs. The first thermally conductive member may include a heat spreader. A second thermally conductive member in thermal contact with the ASIC. The second thermally conductive member may include a lid. The first thermally conductive member faces the first side of the interposer, and the second thermally conductive member faces the second side of the interposer. In some embodiments, the interposer sits in part on a substrate and in part on the PICs.
Optoelectronic computing systems
A system includes a first unit configured to generate a plurality of modulator control signals, and a processor unit. The processor unit includes: a light source or port configured to provide a plurality of light outputs, and a first set of optical modulators coupled to the light source or port and the first unit. The optical modulators in the first set are configured to generate an optical input vector by modulating the plurality of light outputs provided by the light source or port based on digital input values corresponding to a first set of modulator control signals in the plurality of modulator control signals, the optical input vector comprising a plurality of optical signals. The processor unit also includes a matrix multiplication unit that includes a second set of optical modulators. The matrix multiplication unit is coupled to the first unit, and is configured to transform the optical input vector into an analog output vector based on a plurality of digital weight values corresponding to a second set of modulator control signals in the plurality of modulator control signals applied to the second set of optical modulators. At least one optical modulator of at least one of the first set of optical modulators or the second set of optical modulators is configured to modulate an optical signal based on a first modulator control signal among the plurality of modulator control signals, and the first unit is configured to shape the first modulator control signal to include bandwidth-enhancement associated with a change in amplitude associated with a corresponding change in successive digital values corresponding to the first modulator control signal.
OPTOELECTRONIC COMPUTING SYSTEMS
A system includes a first unit configured to generate a plurality of modulator control signals, and a processor unit. The processor unit includes: a light source or port configured to provide a plurality of light outputs, and a first set of optical modulators coupled to the light source or port and the first unit. The optical modulators in the first set are configured to generate an optical input vector by modulating the plurality of light outputs provided by the light source or port based on digital input values corresponding to a first set of modulator control signals in the plurality of modulator control signals, the optical input vector comprising a plurality of optical signals. The processor unit also includes a matrix multiplication unit that includes a second set of optical modulators. The matrix multiplication unit is coupled to the first unit, and is configured to transform the optical input vector into an analog output vector based on a plurality of digital weight values corresponding to a second set of modulator control signals in the plurality of modulator control signals applied to the second set of optical modulators. At least one optical modulator of at least one of the first set of optical modulators or the second set of optical modulators is configured to modulate an optical signal based on a first modulator control signal among the plurality of modulator control signals, and the first unit is configured to shape the first modulator control signal to include bandwidth-enhancement associated with a change in amplitude associated with a corresponding change in successive digital values corresponding to the first modulator control signal.
APPARATUS AND METHODS FOR OPTICAL NEURAL NETWORK
An optical neural network is constructed based on photonic integrated circuits to perform neuromorphic computing. In the optical neural network, matrix multiplication is implemented using one or more optical interference units, which can apply an arbitrary weighting matrix multiplication to an array of input optical signals. Nonlinear activation is realized by an optical nonlinearity unit, which can be based on nonlinear optical effects, such as saturable absorption. These calculations are implemented optically, thereby resulting in high calculation speeds and low power consumption in the optical neural network.
Photonic synapse based on graphene-perovskite quantum dot for neuromorphic computing
A phototransistor device to act as an artificial photonic synapse includes a substrate and a graphene source-drain channel patterned on the substrate. A perovskite quantum dot layer is formed on the graphene source-drain channel. The perovskite quantum dot layer is methylammonium lead bromide material. A method of operating the phototransistor device as an artificial photonic synapse includes applying a first fixed voltage to a gate of the phototransistor and a second fixed voltage across the graphene source-drain channel. A presynaptic signal is applied as stimuli across the graphene source-drain channel. The presynaptic signal includes one or more pulses of light or electrical voltage. A current across the graphene source-drain channel is measured to represent a postsynaptic signal.
Method and system for machine learning using optical data
A system may include an optical source and an adjustable spatial light modulator coupled to the optical source. The system may further include a medium coupled to the adjustable spatial light modulator, and an optical detector coupled to the medium. The optical detector may obtain various optical signals that are transmitted through the medium at various predetermined spatial light modulations using the adjustable spatial light modulator. The system may further include a controller coupled to the optical detector and the adjustable spatial light modulator. The controller may train an electronic model using various synthetic gradients based on the optical signals.
Pin sharing for photonic processors
Aspects relate to a photonic processing system, an integrated circuit, and a method of operating an integrated circuit to control components to modulate optical signals. A photonic processing system, comprising: a photonic integrated circuit comprising: a first electrically-controllable photonic component electrically coupling an input pin to a first output pin; and a second electrically-controllable photonic component electrically coupling the input pin to a second output pin.
PHOTONIC SEMICONDUCTOR DEVICES AND METHODS FOR MANUFACTURING THE SAME
A manufacturing method for a photonic device includes dividing a target photonic network, which is a photonic network configured for the photonic semiconductor device, into a plurality of sub-photonic networks, forming the plurality of sub-photonic networks on a plurality of photonic chips, and connecting the plurality of sub-photonic networks on the plurality of photonic chips through a coupler to obtain the photonic semiconductor device carrying the target photonic network, wherein the coupler is configured to couple light from one photonic chip to another photonic chip. Compared with the scale of the photonic network of the existing photonic semiconductor device, which is limited due to the footprint limitation of a single chip, the scale of the photonic network of the photonic semiconductor device is increased several times.
Bi-directional neuron-electronic device interface structures
An interface structure for a biological environment including at least one composite electrical impulse generating layer comprising a matrix phase of a piezo polymer material, a first dispersed phase of piezo nanocrystals, and second dispersed phase of carbon nanotubes, the first and second dispersed phase presented through the matrix phase. The piezo polymer material and piezo nanocrystal convert mechanical motion into electrical impulses and accept electrons to charge the composite impulse generating layer. The carbon nanotubes provide pathways for distribution of the electrical impulses to a surface of the composite impulse generating layer contacting the biological environment. The carbon nanotubes further provide for the delivery of the byproducts of the free radical degradation from the biological environment to both piezo-nanocrystals and piezo-polymer.
Linear photonic processors and related methods
Photonic processors are described. The photonic processors described herein are configured to perform matrix-matrix (e.g., matrix-vector) multiplication. Some embodiments relate to photonic processors arranged according to a dual-rail architecture, in which numeric values are encoded in the difference between a pair optical signals (e.g., in the difference between the powers of the optical signals). Relative to other architectures, these photonic processors exhibit increased immunity to noise. Some embodiments relate to photonic processors including modulatable detector-based multipliers. Modulatable detectors are detectors designed so that the photocurrent can be modulated according to an electrical control signal. Photonic processors designed using modulatable detector-based multipliers are significantly more compact than other types of photonic processors.