公开(公告)号：WO2020180391A1

公开(公告)日：2020-09-10

申请号：PCT/US2020/012322

申请日：2020-01-06

Applicant: MASSACHUSETTS INSTITUTE OF TECHNOLOGY ,  WAN, Noel ,  CAROLAN, Jacques Johannes ,  LU, Tsung-Ju ,  CHRISTEN, Ian Robert ,  ENGLUND, Dirk Robert

Inventor： WAN, Noel ,  CAROLAN, Jacques Johannes ,  LU, Tsung-Ju ,  CHRISTEN, Ian Robert ,  ENGLUND, Dirk Robert

IPC: B82Y20/00 ,  G02B6/12 ,  G02B6/24 ,  G02B6/30 ,  G02B6/35

Abstract: A process is provided for the high-yield heterogeneous integration of "quantum micro-chiplets" (QMCs, diamond waveguide arrays containing highly coherent color centers) with an aluminum nitride (A1N) photonic integrated circuit (PIC). As an example, the process is useful for the development of a 72-channel defect-free array of germanium-vacancy (GeV) and silicon-vacancy (SiV) color centers in a PIC.Photoluminescence spectroscopy reveals long-term stable and narrow average optical linewidths of 54 MHz (146 MHz) for GeV (SiV) emitters, close to the lifetime-limited linewidth of 32 MHz (93 MHz). Additionally, inhomogeneities in the individual qubits can be compensated in situ with integrated tuning of the optical frequencies over 100 GHz. The ability to assemble large numbers of nearly indistinguishable artificial atoms into phase-stable PICs is useful for development of multiplexed quantum repeaters and general-purpose quantum computers.

公开(公告)号：WO2017210550A1

公开(公告)日：2017-12-07

申请号：PCT/US2017/035668

申请日：2017-06-02

Applicant: MASSACHUSETTS INSTITUTE OF TECHNOLOGY

Inventor： HARRIS, Nicholas Christopher ,  CAROLAN, Jacques Johannes ,  PRABHU, Mihika ,  ENGLUND, Dirk Robert ,  SKIRLO, Scott ,  SHEN, Yichen ,  SOLJACIC, Marin

IPC: G02B6/26 ,  G02B6/34 ,  H04B10/00 ,  H04B10/02 ,  H04J14/02

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.

Abstract translation: 基于光子集成电路构建光学神经网络以执行神经形态计算。 在光学神经网络中，使用一个或多个光学干涉单元来实现矩阵乘法，其可以将任意加权矩阵乘法应用于输入光学信号阵列。 非线性激活由光学非线性单元实现，该单元可以基于非线性光学效应，例如可饱和吸收。 这些计算以光学方式实现，从而在光学神经网络中实现高计算速度和低功耗。