公开(公告)号：US10158481B2

公开(公告)日：2018-12-18

申请号：US15179583

申请日：2016-06-10

Applicant: Massachusetts Institute of Technology

Inventor： Darius Bunandar ,  Nicholas C. Harris ,  Dirk Robert Englund

IPC: H04L9/08 ,  H04B10/70 ,  H04B10/079 ,  H04B10/25

Abstract: Systems, apparatus, and methods using an integrated photonic chip capable of operating at rates higher than a Gigahertz for quantum key distribution are disclosed. The system includes two identical transmitter chips and one receiver chip. The transmitter chips encode photonic qubits by modulating phase-randomized attenuated laser light within two early or late time-bins. Each transmitter chip can produce a single-photon pulse either in one of the two time-bins or as a superposition of the two time-bins with or without any phase difference. The pulse modulation is achieved using ring resonators, and the phase difference between the two time-bins is obtained using thermo-optic phase shifters and/or time delay elements. The receiver chip employs either homodyne detection or heterodyne detection to perform Bell measurements.

公开(公告)号：US11237454B2

公开(公告)日：2022-02-01

申请号：US16680908

申请日：2019-11-12

Applicant: Massachusetts Institute of Technology

Inventor： Jacques Johannes Carolan ,  Uttara Chakraborty ,  Nicholas C. Harris ,  Mihir Pant ,  Dirk Robert Englund

IPC: H01S3/094 ,  G02F1/35 ,  H01S3/08 ,  H01S3/13 ,  H01S3/067 ,  H01S3/23 ,  G02F1/355 ,  G02F1/365 ,  H01S3/083 ,  H01S3/16

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

公开(公告)号：US10359272B2

公开(公告)日：2019-07-23

申请号：US15716196

申请日：2017-09-26

Applicant: Massachusetts Institute of Technology

Inventor： Jacob C. Mower ,  Nicholas C. Harris ,  Dirk R. Englund ,  Greg Steinbrecher

IPC: G02B9/02 ,  G01B9/02 ,  G06N10/00 ,  G06N20/00 ,  B82Y20/00

Abstract: A programmable photonic integrated circuit implements arbitrary linear optics transformations in the spatial mode basis with high fidelity. Under a realistic fabrication model, we analyze programmed implementations of the CNOT gate, CPHASE gate, iterative phase estimation algorithm, state preparation, and quantum random walks. We find that programmability dramatically improves device tolerance to fabrication imperfections and enables a single device to implement a broad range of both quantum and classical linear optics experiments. Our results suggest that existing fabrication processes are sufficient to build such a device in the silicon photonics platform.

公开(公告)号：US09791258B2

公开(公告)日：2017-10-17

申请号：US15143450

申请日：2016-04-29

Applicant: Massachusetts Institute of Technology

Inventor： Jacob C. Mower ,  Nicholas C. Harris ,  Dirk R. Englund ,  Greg Steinbrecher

IPC: G02B6/12 ,  G01B9/02 ,  B82Y20/00 ,  G06N99/00

CPC classification number: G01B9/02083 ,  B82Y20/00 ,  G01B9/02049 ,  G06N99/002 ,  G06N99/005

Abstract: A programmable photonic integrated circuit implements arbitrary linear optics transformations in the spatial mode basis with high fidelity. Under a realistic fabrication model, we analyze programmed implementations of the CNOT gate, CPHASE gate, iterative phase estimation algorithm, state preparation, and quantum random walks. We find that programmability dramatically improves device tolerance to fabrication imperfections and enables a single device to implement a broad range of both quantum and classical linear optics experiments. Our results suggest that existing fabrication processes are sufficient to build such a device in the silicon photonics platform.

公开(公告)号：US20180274900A1

公开(公告)日：2018-09-27

申请号：US15716196

申请日：2017-09-26

Applicant: Massachusetts Institute of Technology

Inventor： Jacob C. Mower ,  Nicholas C. Harris ,  Dirk R. Englund ,  Greg Steinbrecher

IPC: G01B9/02 ,  G06N99/00 ,  B82Y20/00

CPC classification number: G01B9/02083 ,  B82Y20/00 ,  G01B9/02049 ,  G06N10/00 ,  G06N20/00

Abstract: A programmable photonic integrated circuit implements arbitrary linear optics transformations in the spatial mode basis with high fidelity. Under a realistic fabrication model, we analyze programmed implementations of the CNOT gate, CPHASE gate, iterative phase estimation algorithm, state preparation, and quantum random walks. We find that programmability dramatically improves device tolerance to fabrication imperfections and enables a single device to implement a broad range of both quantum and classical linear optics experiments. Our results suggest that existing fabrication processes are sufficient to build such a device in the silicon photonics platform.

公开(公告)号：US11914415B2

公开(公告)日：2024-02-27

申请号：US17736667

申请日：2022-05-04

Applicant: Massachusetts Institute of Technology

Inventor： Jacques Johannes Carolan ,  Mihika Prabhu ,  Scott A. Skirlo ,  Yichen Shen ,  Marin Soljacic ,  Dirk Englund ,  Nicholas C. Harris

IPC: G06E3/00 ,  G06N3/04 ,  G06N3/084 ,  G02F1/225 ,  G02F1/35 ,  G02F1/365 ,  G02F3/02 ,  G06N3/067 ,  G06N3/08 ,  G02F1/21

CPC classification number: G06E3/005 ,  G02F1/225 ,  G02F1/3526 ,  G02F1/365 ,  G02F3/024 ,  G06E3/006 ,  G06E3/008 ,  G06N3/04 ,  G06N3/0675 ,  G06N3/08 ,  G06N3/084 ,  G02F1/212 ,  G02F2202/32 ,  G02F2203/15

Abstract: 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.