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公开(公告)号:US20230368058A1
公开(公告)日:2023-11-16
申请号:US18316917
申请日:2023-05-12
Inventor: Kun FANG
IPC: G06N10/20
CPC classification number: G06N10/20
Abstract: A quantum state transformation method, a quantum state transformation apparatus and an electronic device are provided. The quantum state transformation method includes: constructing, based on a target transforming relationship, a first quantum system in a first quantum state, wherein the first quantum state comprises K initial quantum states; constructing, based on the first quantum state and the second quantum state, a second quantum system in an auxiliary quantum state, wherein the second quantum state is obtained by embedding the target quantum state into Hilbert space of the first quantum state based on a preset quantum state; performing, based on a quantum state transformation operation under the target transforming relationship, and the first quantum system and the second quantum system, a quantum state transformation on the K initial quantum states and the auxiliary quantum state, to obtain the target quantum state and the auxiliary quantum state.
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公开(公告)号:US20220300848A1
公开(公告)日:2022-09-22
申请号:US17835666
申请日:2022-06-08
Inventor: Kun FANG , Runyao DUAN
Abstract: A function processing method and device, and an electronic device are provided. The function processing method includes: obtaining a first polynomial function including a plurality of terms consisting of a plurality of first variables; constructing a node route diagram of a quantum approximate optimization algorithm (QAOA) based on the first polynomial function, where the node route diagram includes K nodes, K is determined based on the first polynomial function, and K is an integer greater than 1; generating quantum entangled states of the node route diagram, where the quantum entangled states include target quantum states of the K nodes in the node route diagram; and sequentially performing a numerical measurement on each node in the K nodes based on the target quantum state of the K nodes in the node route diagram, to obtain a first target numerical measurement result of the plurality of first variables.
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公开(公告)号:US20230244974A1
公开(公告)日:2023-08-03
申请号:US17929575
申请日:2022-09-02
Abstract: A quantum state processing method, a computing device and a storage medium. The method includes: acquiring a first group of measurement results for a first quantum state ρ, the first group of measurement results including a measurement result for the first quantum state ρ and a measurement result for an approximate n-order quantum state ρ[n]; acquiring a second group of measurement results for a second quantum state σ, the second group of measurement results including a measurement result for the second quantum state σ and a measurement result for an approximate m-order quantum state σ[m]; obtaining, based on at least the first group of measurement results and the second group of measurement results, a target high-order inner product tr(ρnσm) for the first quantum state ρ and the second quantum state σ; and the ρn characterizing an n-order quantum state of the first quantum state σ.
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公开(公告)号:US20220253575A1
公开(公告)日:2022-08-11
申请号:US17731254
申请日:2022-04-27
Inventor: Kun FANG , Runyao DUAN
Abstract: This disclosure provides a node grouping method and apparatus and an electronic device, and relates to the field of evolutionary computing in quantum computing. The method includes: obtaining a graph of to-be-grouped nodes, wherein the graph of to-be-grouped nodes includes M first nodes; constructing a QAOA (quantum approximate optimization algorithm) node circuit graph based on the graph of to-be-grouped nodes, the node circuit graph including K nodes which including the M first nodes; generating a quantum entangled state of the node circuit graph that includes target quantum states of the K nodes in the node circuit graph; performing a group measurement on each of the K nodes sequentially based on the target quantum states of the K nodes to obtain a target group measurement result of the M first nodes; determining a grouping output result of the M first nodes based on the target group measurement result.
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