Deep learning numeric data and sparse matrix compression

    公开(公告)号:US12039421B2

    公开(公告)日:2024-07-16

    申请号:US17122384

    申请日:2020-12-15

    CPC classification number: G06N20/00 G06F17/16 H03M7/3088 H03M7/702 G06F11/14

    Abstract: An apparatus to facilitate deep learning numeric data and sparse matrix compression is disclosed. The apparatus includes a processor comprising a compression engine to: receive a data packet comprising a plurality of cycles of data samples, and for each cycle of the data samples: pass the data samples of the cycle to a compressor dictionary; identify, from the compressor dictionary, tags for each of the data samples, wherein the compressor dictionary comprises at least a first tag for data having a value of zero and a second tag for data having a value of one; and compress the data samples into compressed cycle data by storing the tags as compressed data, wherein the data samples identified with the first tag are compressed using the first tag and the data samples identified with the second tag are compressed using the second tag at the same time as values of the data samples identified with the first tag or the second tag are excluded from the compressed cycle data.

    Apparatus and method for quantum computing performance simulation

    公开(公告)号:US12039234B2

    公开(公告)日:2024-07-16

    申请号:US17723217

    申请日:2022-04-18

    CPC classification number: G06F30/20 G06N10/00

    Abstract: Apparatus and method for a full quantum system simulator. For example, one embodiment of a method comprises: initializing a quantum computing system simulator for simulating multiple layers of a quantum system including one or more non-quantum layers and one or more physical quantum device layers of the quantum system; simulating a first set of operations of the one or more non-quantum layers of the quantum system to generate first simulation results; simulating a second set of operations of the one or more quantum device layers of the quantum system to generate second simulation results; analyzing the first and second simulation results to provide at least one configuration recommendation for the quantum system.

    USER EQUIPMENT (UE) SWITCHING BETWEEN NETWORKS USING MEASUREMENT GAPS

    公开(公告)号:US20240236787A1

    公开(公告)日:2024-07-11

    申请号:US18557269

    申请日:2022-10-20

    CPC classification number: H04W36/0088 H04W76/28

    Abstract: The invention relates to an apparatus comprising: memory to store measurement gap configuration information associated with network switching for a user equipment (UE); and processing circuitry to: retrieve the measurement gap configuration information from the memory, wherein the measurement gap configuration information includes a measurement gap pattern having: a measurement gap length (MGL) of 20 ms, 40 ms, 80 ms, or 160 ms, and a measurement gap repetition period of 5120 ms; and encode a message for transmission to the UE that includes the measurement gap configuration information.

    COLLISION HANDLING FOR SOUNDING REFERENCE SIGNAL (SRS) TRANSMISSION

    公开(公告)号:US20240235772A1

    公开(公告)日:2024-07-11

    申请号:US18558347

    申请日:2022-08-04

    CPC classification number: H04L5/0051 H04L5/001

    Abstract: Systems, apparatus, methods, and computer-readable media provided for collision handling for sounding reference signal (SRS) transmission include one or more processors to receive configuration information for a first sounding reference signal (SRS) resource set and a second SRS resource set, wherein there is a guard period between SRS occasions of the first SRS resource set and respective SRS occasions of the second SRS resource set, determine that a first SRS occasion of the first SRS resource set and a second SRS occasion of the second SRS resource set are dropped based on a collision handling rule and encode an uplink message for transmission in the guard period between the first and second SRS occasions based on the determination.

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