Patents by Inventor Nicholas C. Harris

Nicholas C. Harris has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20220374575
    Abstract: 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.
    Type: Application
    Filed: May 19, 2022
    Publication date: November 24, 2022
    Applicant: Lightmatter, Inc.
    Inventors: Carl Ramey, Nicholas C. Harris, Hamid Eslampour
  • Publication number: 20220366308
    Abstract: Methods and apparatus for training a matrix-based differentiable program using a photonics-based processor. The matrix-based differentiable program includes at least one matrix-valued variable associated with a matrix of values in a Euclidean vector space. The method comprises configuring components of the photonics-based processor to represent the matrix of values as an angular representation, processing, using the components of the photonics-based processor, training data to compute an error vector, determining in parallel, at least some gradients of parameters of the angular representation, wherein the determining is based on the error vector and a current input training vector, and updating the matrix of values by updating the angular representation based on the determined gradients.
    Type: Application
    Filed: July 13, 2022
    Publication date: November 17, 2022
    Applicant: Lightmatter, Inc.
    Inventors: Tomo Lazovich, Darius Bunandar, Nicholas C. Harris, Martin B.Z. Forsythe
  • Patent number: 11494541
    Abstract: 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.
    Type: Grant
    Filed: January 14, 2021
    Date of Patent: November 8, 2022
    Assignee: Lightmatter, Inc.
    Inventors: Carl Ramey, Darius Bunandar, Nicholas C. Harris
  • Patent number: 11475367
    Abstract: Methods and apparatus for training a matrix-based differentiable program using a photonics-based processor. The matrix-based differentiable program includes at least one matrix-valued variable associated with a matrix of values in a Euclidean vector space. The method comprises configuring components of the photonics-based processor to represent the matrix of values as an angular representation, processing, using the components of the photonics-based processor, training data to compute an error vector, determining in parallel, at least some gradients of parameters of the angular representation, wherein the determining is based on the error vector and a current input training vector, and updating the matrix of values by updating the angular representation based on the determined gradients.
    Type: Grant
    Filed: June 29, 2020
    Date of Patent: October 18, 2022
    Assignee: Lightmatter, Inc.
    Inventors: Tomo Lazovich, Darius Bunandar, Nicholas C. Harris, Martin B. Z. Forsythe
  • Publication number: 20220317378
    Abstract: Methods and apparatus for tuning a photonics-based component. An opto-electrical detector is configured to output an electrical signal based on a measurement of light intensity of the photonics-based component, the light intensity being proportional to an amount of detuning of the photonics-based component. Analog-to-digital conversion (ADC) circuitry is configured to output a digital signal based on the electrical signal output from the opto-electrical detector. Feedback control circuitry is configured to tune the photonics-based component based, at least in part, on the digital signal output from the ADC circuitry.
    Type: Application
    Filed: June 17, 2022
    Publication date: October 6, 2022
    Applicant: Lightmatter, Inc.
    Inventors: Carlos Dorta-Quinones, Carl Ramey, Omer Ozgur Yildirim, Chithira Ravi, Shashank Gupta, Nicholas C. Harris
  • Publication number: 20220286539
    Abstract: A portable electronic device may include a housing having a wall defining an opening in the housing and at least a portion of four side surfaces of the portable electronic device. The portable electronic device may further include a display at least partially within the housing, a front cover positioned in the opening in the housing and over the display, the front cover defining a front surface, a peripheral side surface extending from the front surface and at least partially surrounded by the wall of the housing, and a notch that, together with a portion of the wall of the housing, defines an acoustic port of the portable electronic device. The electronic device may further include an acoustic port cover positioned at least partially in the acoustic port and a speaker at least partially within the housing and configured to direct sound through the acoustic port cover.
    Type: Application
    Filed: September 10, 2021
    Publication date: September 8, 2022
    Inventors: Ethan R. Stobbe, Cameron Bauer, Samuel J. Pliska, Macey E. Dade, Baris Ozgen, Lee E. Hooton, Benjamin S. Bustle, Jason M. Gillier, Stoyan P. Hristov, Anthony B. Sinclair, Nicholas Merz, Daniel Jarvis, Ian A. Spraggs, Mitchell T. Hoertz, Michael D. Quinones, David A. Pakula, Brandon R. Collins-Smoot, Matthew R. McGuire, Richard H. Koch, Simon C. Helmore, Gareth L. Rose, Marwan Rammah, Zachary S. Scott, Jonathan M. Lee, Melissa A. Wah, Jacob Barton, Laura M. Burke, Jesse P. Harris, Samruddhi A. Deshpande, Ekaterina Pease, David J. Dunsmoor, Nawaf Al-Baghly
  • Patent number: 11409045
    Abstract: Methods and apparatus for tuning a photonics-based component. An opto-electrical detector is configured to output an electrical signal based on a measurement of light intensity of the photonics-based component, the light intensity being proportional to an amount of detuning of the photonics-based component. Analog-to-digital conversion (ADC) circuitry is configured to output a digital signal based on the electrical signal output from the opto-electrical detector. Feedback control circuitry is configured to tune the photonics-based component based, at least in part, on the digital signal output from the ADC circuitry.
    Type: Grant
    Filed: July 1, 2020
    Date of Patent: August 9, 2022
    Assignee: Lightmatter, Inc.
    Inventors: Carlos Dorta-Quinones, Carl Ramey, Omer Ozgur Yildirim, Chithira Ravi, Shashank Gupta, Nicholas C. Harris
  • Patent number: 11398871
    Abstract: Systems and methods for performing signed matrix operations using a linear photonic processor are provided. The linear photonic processor is formed as an array of first amplitude modulators and second amplitude modulators, the first amplitude modulators configured to encode elements of a vector into first optical signals and the second amplitude modulators configured to encode a product between the vector elements and matrix elements into second optical signals. An apparatus may be used to implement a signed value of an output of the linear processor. The linear photonic processor may be configured to perform matrix-vector and/or matrix-matrix operations.
    Type: Grant
    Filed: July 28, 2020
    Date of Patent: July 26, 2022
    Assignee: Lightmatter, Inc.
    Inventors: Darius Bunandar, Nicholas C. Harris, Michael Gould, Carl Ramey, Tomo Lazovich
  • Publication number: 20220229634
    Abstract: A photonic processor uses light signals and a residue number system (RNS) to perform calculations. The processor sums two or more values by shifting the phase of a light signal with phase shifters and reading out the summed phase with a coherent detector. Because phase winds back every 2? radians, the photonic processor performs addition modulo 2?. A photonic processor may use the summation of phases to perform dot products and correct erroneous residues. A photonic processor may use the RNS in combination with a positional number system (PNS) to extend the numerical range of the photonic processor, which may be used to accelerate homomorphic encryption (HE)-based deep learning.
    Type: Application
    Filed: December 6, 2021
    Publication date: July 21, 2022
    Applicant: Lightmatter, Inc.
    Inventors: Eric Hein, Ayon Basumallik, Nicholas C. Harris, Darius Bunandar, Cansu Demirkiran
  • Patent number: 11367711
    Abstract: A memory device is described. The memory device comprises a plurality of stacked memory layers, wherein each of the plurality of stacked memory layers comprises a plurality of memory cells. The memory device further comprises an optical die bonded to the plurality of stacked memory layers and in electrical communication with the stacked memory layers through one or more interconnects. The optical die comprises an optical transceiver, and a memory controller configured to control read and/or write operations of the stacked memory layers. The optical die may be positioned at one end of the plurality of stacked memory layers. The one or more interconnects may comprise one or more through silicon vias (TSV). The plurality of memory cells may comprise a plurality of solid state memory cells. The memory devices described herein can enable all-to-all, point-to-multipoint and ring architectures for connecting logic units with memory devices.
    Type: Grant
    Filed: April 30, 2019
    Date of Patent: June 21, 2022
    Assignee: Lightmatter, Inc.
    Inventors: Nicholas C. Harris, Carl Ramey
  • Publication number: 20220172052
    Abstract: Described herein are techniques of training a machine learning model and performing inference using an analog processor. Some embodiments mitigate the loss in performance of a machine learning model resulting from a lower precision of an analog processor by using an adaptive block floating-point representation of numbers for the analog processor. Some embodiments mitigate the loss in performance of a machine learning model due to noise that is present when using an analog processor. The techniques involve training the machine learning model such that it is robust to noise.
    Type: Application
    Filed: November 29, 2021
    Publication date: June 2, 2022
    Applicant: Lightmatter, Inc.
    Inventors: Darius Bunandar, Ludmila Levkova, Nicholas Dronen, Lakshmi Nair, David Widemann, David Walter, Martin B.Z. Forsythe, Tomo Lazovich, Ayon Basumallik, Nicholas C. Harris
  • Publication number: 20220094443
    Abstract: Aspects relate to a photonic processing system, a photonic processor, and a method of performing matrix-vector multiplication. An optical encoder may encode an input vector into a first plurality of optical signals. A photonic processor may receive the first plurality of optical signals; perform a plurality of operations on the first plurality of optical signals, the plurality of operations implementing a matrix multiplication of the input vector by a matrix; and output a second plurality of optical signals representing an output vector. An optical receiver may detect the second plurality of optical signals and output an electrical digital representation of the output vector.
    Type: Application
    Filed: December 1, 2021
    Publication date: March 24, 2022
    Applicant: Lightmatter, Inc.
    Inventors: Darius Bunandar, Nicholas C. Harris, Carl Ramey
  • Publication number: 20220085777
    Abstract: Low-noise optical differential receivers are described. Such differential receivers may include a differential amplifier having first and second inputs and first and second outputs, and four photodetectors. A first and a second of such photodetectors are coupled to the first input of the differential amplifier, and a third and a fourth of such photodetectors are coupled to the second input of the differential amplifier. The anode of the first photodetector and the cathode of the second photodetector are coupled to the first input of the differential amplifier. The cathode of the third photodetector and the anode of the fourth photodetector are coupled to the second input of the differential amplifier. The optical receiver may involve two stages of signal subtraction, which may significantly increase noise immunity.
    Type: Application
    Filed: October 26, 2021
    Publication date: March 17, 2022
    Applicant: Lightmatter, Inc.
    Inventors: Nicholas C. Harris, Michael Gould, Omer Ozgur Yildirim
  • Patent number: 11256029
    Abstract: Photonic packages are described. One such photonic package includes a photonic chip, an application specific integrated circuit, and optionally, an interposer. The photonic chip includes photonic microelectromechanical system (MEMS) devices. A photonic package may include a material layer patterned to include recesses. The recesses are aligned with the photonic MEMS devices so as to form enclosed cavities around the photonic MEMS devices. This arrangement preserves the integrity of the photonic MEMS devices.
    Type: Grant
    Filed: October 15, 2019
    Date of Patent: February 22, 2022
    Assignee: Lightmatter, Inc.
    Inventors: Sukeshwar Kannan, Carl Ramey, Michael Gould, Nicholas C. Harris
  • Patent number: 11237454
    Abstract: Typically, quantum systems are very sensitive to environmental fluctuations, and diagnosing errors via measurements causes unavoidable perturbations. Here, an in situ frequency-locking technique monitors and corrects frequency variations in single-photon sources based on resonators. By using the classical laser fields used for photon generation as probes to diagnose variations in the resonator frequency, the system applies feedback control to correct photon frequency errors in parallel to the optical quantum computation without disturbing the physical qubit. Our technique can be implemented on a silicon photonic device and with sub 1 pm frequency stabilization in the presence of applied environmental noise, corresponding to a fractional frequency drift of <1% of a photon linewidth. These methods can be used for feedback-controlled quantum state engineering.
    Type: Grant
    Filed: November 12, 2019
    Date of Patent: February 1, 2022
    Assignee: Massachusetts Institute of Technology
    Inventors: Jacques Johannes Carolan, Uttara Chakraborty, Nicholas C. Harris, Mihir Pant, Dirk Robert Englund
  • Publication number: 20220029730
    Abstract: 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.
    Type: Application
    Filed: July 23, 2021
    Publication date: January 27, 2022
    Applicant: Lightmatter, Inc.
    Inventors: Darius Bunandar, Michael Gould, Nicholas C. Harris, Carl Ramey
  • Patent number: 11218227
    Abstract: Aspects relate to a photonic processing system, a photonic processor, and a method of performing matrix-vector multiplication. An optical encoder may encode an input vector into a first plurality of optical signals. A photonic processor may receive the first plurality of optical signals; perform a plurality of operations on the first plurality of optical signals, the plurality of operations implementing a matrix multiplication of the input vector by a matrix; and output a second plurality of optical signals representing an output vector. An optical receiver may detect the second plurality of optical signals and output an electrical digital representation of the output vector.
    Type: Grant
    Filed: August 6, 2020
    Date of Patent: January 4, 2022
    Assignee: Lightmatter, Inc.
    Inventors: Darius Bunandar, Nicholas C. Harris, Carl Ramey
  • Publication number: 20210405682
    Abstract: Hybrid analog-digital processing systems are described. An example of a hybrid analog-digital processing system includes photonic accelerator configured to perform matrix-vector multiplication using light. The photonic accelerator exhibits a frequency response having a first bandwidth (e.g., less than 3 GHz). The hybrid analog-digital processing system further includes a plurality of analog-to-digital converters (ADCs) coupled to the photonic accelerator, and a plurality of digital equalizers coupled to the plurality of ADCs, wherein the digital equalizers are configured to set a frequency response of the hybrid analog-digital processing system to a second bandwidth greater than the first bandwidth.
    Type: Application
    Filed: June 25, 2021
    Publication date: December 30, 2021
    Applicant: Lightmatter, Inc.
    Inventors: Michael Gould, Carl Ramey, Nicholas C. Harris, Darius Bunandar
  • Patent number: 11196395
    Abstract: Low-noise optical differential receivers are described. Such differential receivers may include a differential amplifier having first and second inputs and first and second outputs, and four photodetectors. A first and a second of such photodetectors are coupled to the first input of the differential amplifier, and a third and a fourth of such photodetectors are coupled to the second input of the differential amplifier. The anode of the first photodetector and the cathode of the second photodetector are coupled to the first input of the differential amplifier. The cathode of the third photodetector and the anode of the fourth photodetector are coupled to the second input of the differential amplifier. The optical receiver may involve two stages of signal subtraction, which may significantly increase noise immunity.
    Type: Grant
    Filed: May 14, 2019
    Date of Patent: December 7, 2021
    Assignee: Lightmatter, Inc.
    Inventors: Nicholas C. Harris, Michael Gould, Omer Ozgur Yildirim
  • Publication number: 20210365240
    Abstract: 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.
    Type: Application
    Filed: August 10, 2021
    Publication date: November 25, 2021
    Applicant: Lightmatter, Inc.
    Inventors: Nicholas C. Harris, Darius Bunandar, Michael Gould, Carl Ramey, Shashank Gupta, Carlos Dorta-Quinones