Hybrid Quantum Computing Network
    3.
    发明申请

    公开(公告)号:US20210174237A1

    公开(公告)日:2021-06-10

    申请号:US17110382

    申请日:2020-12-03

    Abstract: A distributed computing network includes a quantum computation network and a processor. The quantum computation network includes one or more quantum processor units (QPUs) interconnected one with the other using quantum interconnects including each a quantum link and quantum network interface cards (QNICs), where each QPU is further connected to, using the QNIC, a quantum memory. The processor is configured to receive a quantum computation task, and, using a network interface card (NIC) (i) allocate the quantum computation task to the computation network, by activating any of the quantum interconnects between the QPUs according to the quantum computation task, and (ii) solve the quantum computation task using the quantum computation network.

    AI-supported network telemetry using data processing unit

    公开(公告)号:US12273380B2

    公开(公告)日:2025-04-08

    申请号:US17550867

    申请日:2021-12-14

    Abstract: A device receives a packet from a local network. The packet may be directed toward a cloud computing resource. The device determines that the packet is associated with a new packet flow. In response to determining that the packet is associated with the new packet flow, the device provides one or more packets from the new packet flow to a machine learning model for packet inspection. The device receives an output from the machine learning model and routes the new packet flow based on the output received from the machine learning model. The output indicates whether or not the new packet flow is associated with a network attack.

    HETEROGENEOUS INTEGRATION OF FREQUENCY COMB GENERATORS FOR HIGH-SPEED TRANSCEIVERS

    公开(公告)号:US20220190922A1

    公开(公告)日:2022-06-16

    申请号:US17147312

    申请日:2021-01-12

    Abstract: A photonics frequency comb generator includes two integrated dies: an indium phosphide die laser of a first wavelength is grown on from, and a silicon photonics die having a microring resonator connected to the laser and frequency modulators. The microring resonator converts the first wavelength into a number of second wavelengths. One type of the microring resonator is a hybrid non-linear optical wavelength generator, comprising non-silicon materials, such as SiC or SiGe built on silicon to yield a non-linear wavelength generation. The second wavelengths are generated by adjusting the ring's geometric size and a distance between the ring and the traverse waveguide. Another type of microring resonator splits the first wavelength into a plurality of second wavelengths and transmits the multiple second wavelengths to filters and modulators, and each selects and modulates one of the second wavelengths in a one-to-one relationship. This frequency comb generator has applications in WDM/CWDM and multi-chip modules in high speed transceivers.

    Wafer level analysis for VCSEL screening

    公开(公告)号:US12224550B2

    公开(公告)日:2025-02-11

    申请号:US17156902

    申请日:2021-01-25

    Abstract: A method and system for analyzing Vertical-Cavity Surface-Emitting Lasers (VCSELs) on a wafer are provided. An illustrative method of is provided that includes: applying a stimulus to each of the plurality of VCSELs on the wafer; measuring, for each of the plurality of VCSELs, two or more VCSEL parameters responsive to the stimulus; correlating the measured two or more VCSEL parameters to define a value of a common performance characteristic; and identifying clusters of VCSELs having similar values of the common performance characteristic. The clusters of VCSELs may be determined to collectively meet or not meet an optical performance requirement defined for the VCSELs on the wafer.

    Hybrid quantum computing network
    9.
    发明授权

    公开(公告)号:US11847533B2

    公开(公告)日:2023-12-19

    申请号:US17110382

    申请日:2020-12-03

    CPC classification number: G06N10/00 G06F9/4881 G06F13/4022

    Abstract: A distributed computing network includes a quantum computation network and a processor. The quantum computation network includes one or more quantum processor units (QPUs) interconnected one with the other using quantum interconnects including each a quantum link and quantum network interface cards (QNICs), where each QPU is further connected to, using the QNIC, a quantum memory. The processor is configured to receive a quantum computation task, and, using a network interface card (NIC) (i) allocate the quantum computation task to the computation network, by activating any of the quantum interconnects between the QPUs according to the quantum computation task, and (ii) solve the quantum computation task using the quantum computation network.

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