公开(公告)号：US20210166147A1

公开(公告)日：2021-06-03

申请号：US17061759

申请日：2020-10-02

Applicant: DONGGYU KIM ,  Dirk Robert ENGLUND

Inventor： DONGGYU KIM ,  Dirk Robert ENGLUND

IPC: G06N10/00 ,  G02F3/00 ,  G03H1/26

Abstract: Systems based on atom and atom-like quantum emitters are promising platforms for quantum sensing, computing, and communications. State-of-the-art lasers and optical microscopy enable high-fidelity quantum control of the atomic quantum bits (qubits). However, it is challenging to scale up such individual quantum control to hundreds or thousands of atomic quantum nodes for implementing useful and practical quantum algorithms. Here, we introduce methods and systems to holographically implement large-scale quantum circuits that individually address atomic quantum nodes for various applications. These methods enable implementation of quantum circuits over large 2D and 3D arrays of atomic qubits at rates of thousands to millions of quantum circuit layers per second. The quantum circuit layers are encoded in multiplexed holograms displayed on a slow SLM and retrieved by fast interrogation to produce spatial distributions that operate on the qubit array. This technology can also be used for optically addressing objects such as biological cells and on-chip photonic components for optical tweezers, opto-genetics, optical computing, and optical neural networks.

公开(公告)号：US20210018767A1

公开(公告)日：2021-01-21

申请号：US16876477

申请日：2020-05-18

Applicant: Cheng PENG ,  Christopher Louis Panuski ,  Ryan HAMERLY ,  Dirk Robert ENGLUND

Inventor： Cheng PENG ,  Christopher Louis Panuski ,  Ryan HAMERLY ,  Dirk Robert ENGLUND

IPC: G02F1/017 ,  B82Y20/00 ,  G02F1/21 ,  F21V8/00 ,  G01J3/26

Abstract: A reflective spatial light modulator (SLM) made of an electro-optic material, such as barium titanate, in a one-sided Fabry-Perot resonator can provide phase and/or amplitude modulation with fine spatial resolution at speeds over a Gigahertz. The light is confined laterally within the electro-optic material/resonator layer stack with microlenses, index perturbations, or by patterning the layer stack into a two-dimensional (2D) array of vertically oriented micropillars. Alternatively, a photonic crystal guided mode resonator can provide vertical and lateral confinement of the resonant mode. In phase-only modulation mode, each pixel in the SLM can produce a π phase shift under a bias voltage below 10 V, while maintaining nearly constant reflection amplitude. The methodology for designing this SLM could also be used to design other SLMs (for example, amplitude-only SLMs). This high-speed SLM can be used in a wide range of new applications, from fully tunable metasurfaces to optical computing accelerators, high-speed interconnects, true 2D phased array beam steering, beam forming, or quantum computing with cold atom arrays.

公开(公告)号：US20170351293A1

公开(公告)日：2017-12-07

申请号：US15612043

申请日：2017-06-02

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

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

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

CPC classification number: G06E3/005 ,  G02F1/225 ,  G02F1/3526 ,  G02F1/365 ,  G02F3/024 ,  G02F2001/212 ,  G02F2202/32 ,  G02F2203/15 ,  G06E3/006 ,  G06E3/008 ,  G06N3/0675 ,  G06N3/08

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.