公开(公告)号：US20220036231A1

公开(公告)日：2022-02-03

申请号：US17501764

申请日：2021-10-14

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Xin WANG ,  Zhixin SONG ,  Guangxi LI

IPC: G06N10/00 ,  G06N3/02 ,  G06K9/62

Abstract: A method and device for processing quantum data are provided, which are related to the field of quantum computation. The method includes: determining a quantum data set and category information characterizing a data type of the quantum data set; applying a local quantum circuit to a quantum data point contained in the quantum data set, wherein the local quantum circuit is obtained after part of qubits are selected from a plurality of qubits contained in a parameterized quantum circuit; acquiring state information of qubits in the local quantum circuit after being applied to the quantum data point through measurement, and taking the state information and the category information as training data for training a classical neural network to obtain a trained classical neural network, wherein a data type of a quantum data set to be processed can be identified by the trained classical neural network.

公开(公告)号：US20220222507A1

公开(公告)日：2022-07-14

申请号：US17712640

申请日：2022-04-04

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Xin WANG ,  Sizhuo YU ,  Zhixin SONG ,  Xuanqiang ZHAO

IPC: G06N3/04 ,  G06N10/80 ,  G06N3/08

Abstract: A method is provided, including: initializing a first quantum neural network to be trained and at least two second quantum neural networks to be trained, and obtaining a quantum state training set; identifying one or more qubit pairs in an entangled state shared by the two parties; for each of a plurality of quantum state combinations: inputting quantum states of the quantum state combination into the respectively corresponding first quantum neural network, and measuring qubits output by the first quantum neutral network and not input into each of the at least two second quantum neural networks of each party so as to obtain a corresponding quantum state; selectively running a second quantum neural network respectively according to a measuring result so as to obtain quantum state output by the two parties, to compute a loss function; and adjusting a parameter value to make the loss function reach a minimum value.