Syndrome decoding system
    2.
    发明授权

    公开(公告)号:US12164375B2

    公开(公告)日:2024-12-10

    申请号:US17949655

    申请日:2022-09-21

    Abstract: A method includes determining a quantity of errors for a bit string based on a quantity of bits having a logical value of one within the bit string and writing an indication corresponding to the quantity of errors for the bit string to an array of memory cells. The method can further include determining that the quantity of errors for the bit string has reached a threshold quantity of errors and refraining from performing a subsequent operation to determine the quantity of errors for the bit string in response to determining that the quantity of errors for the bit string has reached the threshold quantity of errors.

    Parallel multi-qubit operations on a universal ion trap quantum computer

    公开(公告)号:US12141657B2

    公开(公告)日:2024-11-12

    申请号:US18309486

    申请日:2023-04-28

    Abstract: The disclosure describes various aspects related to enabling effective multi-qubit operations, and more specifically, to techniques for enabling parallel multi-qubit operations on a universal ion trap quantum computer. In an aspect, a method of performing quantum operations in an ion trap quantum computer or trapped-ion quantum system includes implementing at least two parallel gates of a quantum circuit, each of the at least two parallel gates is a multi-qubit gate, each of the at least two parallel gates is implemented using a different set of ions of a plurality of ions in a ion trap, and the plurality of ions includes four or more ions. The method further includes simultaneously performing operations on the at least two parallel gates as part of the quantum operations. A trapped-ion quantum system and a computer-readable storage medium corresponding to the method described above are also disclosed.

    OUTPUT CIRCUIT FOR ARTIFICIAL NEURAL NETWORK ARRAY

    公开(公告)号:US20240112003A1

    公开(公告)日:2024-04-04

    申请号:US18077993

    申请日:2022-12-08

    CPC classification number: G06N3/063 G06F5/01 G06F7/501

    Abstract: Numerous examples are disclosed of output circuitry and associated methods in an artificial neural network. In one example, a system comprises an array of non-volatile memory cells arranged into rows and columns, an output block to convert current from columns of the array into a first digital output during a first time period and a second digital output during a second time period, a first output register to store the first digital output during the first time period and to output the stored first digital output during the second time period, and a second output register to store the second digital output during the second time period and to output the stored second digital output during a third time period.

    COMPRESSOR CIRCUIT AND SEMICONDUCTOR INTEGRATED CIRCUIT INCLUDING THE SAME

    公开(公告)号:US20240094987A1

    公开(公告)日:2024-03-21

    申请号:US18329856

    申请日:2023-06-06

    Inventor: Byoung Gon Kang

    Abstract: A compressor circuit and a semiconductor integrated circuit included the compressor circuit are provided. The semiconductor integrated circuit includes a compressor circuit which includes a first full adder circuit which receives an A1 signal, a B1 signal, and a CI signal to output an IS signal and an ICO signal, and a second full adder circuit which receives a B2 signal, the IS signal, and a CI2 signal to output an S signal and a CO signal. Each of the first full adder circuit and the second full adder circuit are in an L-shaped layout, the first full adder circuit and the second full adder circuit have bent portions that are point-symmetrically engaged with each other, and the compressor circuit is in a rectangular shape. The number of transistors in the second full adder circuit is smaller than the number of transistors in the first full adder circuit.

Patent Agency Ranking