Binary Optimization with Boson Sampling

    公开(公告)号:US20230140189A1

    公开(公告)日:2023-05-04

    申请号:US17583054

    申请日:2022-01-24

    Abstract: Methods and systems are described herein for determining a solution to a binary optimization problem. In examples, a system described herein comprises a controller and a boson sampler which together implement a hybrid quantum-classical process. Computer-readable media are also described herein.

    Boson Sampler and Neural Network for Data Generation

    公开(公告)号:US20240135144A1

    公开(公告)日:2024-04-25

    申请号:US18451255

    申请日:2023-08-17

    CPC classification number: G06N3/045 G01N21/45 G06N3/0464 G06N3/084 G06T11/00

    Abstract: Methods are provided for generating a dataset (e.g., an image). According to an example, the method comprises controlling a boson sampler to produce one or more integer sequences, each of the one or more integer sequences representative of a measurement outcome of one or more photodetectors of the boson sampler; determining, from the one or more integer sequences, one or more latent vectors; providing the determined one or more latent vectors to a trained artificial neural network (ANN) configured to convert one or more latent vectors to a generated dataset; and outputting the generated dataset. Methods for training an ANN are also provided. Systems and computer-readable storage media are also described.

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