-
公开(公告)号：AU2022202647A1
公开(公告)日：2022-11-10
申请号：AU2022202647
申请日：2022-04-21
Inventor： WANG XIN , YU SIZHUO , SONG ZHIXIN , ZHAO XUANQIANG
Abstract: 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. For each party of two parties performing quantum communication: initialize a d first quantum neural network to be trained and at least two 510 second quantum neural networks to be trained, and obtain a quantum state training set corresponding to one or more qubits to be transmitted Identify one or more qubit pairs in an entangled state, wherein qubits in a qubit pair are shared by the two parties of quantum communication For each of quantum state combinations: input the quantum states of the 530 quantum state combination and the qubits in the one or more qubit pairs in the entangled state into the corresponding first quantum neural network of each party performing the quantum communication, and measure the one or more qubits output by the respective first quantum neural networks and not input into each of the at least two second quantum neural networks of each respective party so as to obtain a corresponding quantum state for each party For each party, selectively run a corresponding second quantum neural network according to the quantum state of the other party based on a 540 result of the measuring, so as to obtain an obtained quantum state output by the corresponding second quantum neural network for a given party of the two parties, wherein the obtained quantum state serves as quantum information exchanged by the two parties after performing the quantum communication Compute, for each party, an error between the obtained quantum state and the corresponding quantum state in the quantum state combination Compute a value of a loss function based on errors corresponding to all the quantum state combinations Adjust parameter values of the first quantum neural network and the 570 second quantum neural networks of each party performing the quantum communication to make the loss function reach a minimum value, thereby obtaining a trained first quantum neural network and trained second quantum neural networks of each party Fig. 5
-
公开(公告)号：AU2021245165A1
公开(公告)日：2021-10-21
申请号：AU2021245165
申请日：2021-10-07
Inventor： WANG XIN , SONG ZHIXIN , LI GUANGXI
Abstract: The present disclosure discloses a method and device for processing quantum data, and relates to the field of quantum computation. It is specifically implemented as follows: 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. Therefore, a foundation is laid for identifying a data type of a quantum data set with high efficiency. (FIG. 1) 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
-
3.发明专利
公开(公告)号：AU2021245164A1
公开(公告)日：2021-10-21
申请号：AU2021245164
申请日：2021-10-07
Inventor： WANG XIN , ZHAO XUANQIANG , ZHAO BENCHI , WANG ZIHE , SONG ZHIXIN , LIU RENYU
Abstract: The present disclosure provides a quantum entangled state processing method and apparatus, a device, a storage medium, and a product, which are related to a field of quantum calculation. The specific implementation scheme includes: determining n initial quantum states to be processed; determining at least two nodes associated with the initial quantum state, wherein the first qubit is positioned at a first node of the at least two nodes, and the second qubit is positioned at a second node of the at least two nodes; acquiring at least one first parameterized quantum circuit required by the first node and at least one second parameterized quantum circuit required by the second node matched with a preset processing scenario; controlling, based on an initial quantum operation strategy, the first node to perform a local quantum operation to obtain a first measurement result, controlling the second node to perform a local quantum operation to obtain a second measurement result; obtaining an output quantum state meeting a preset requirement of the preset processing scenario at least based on the first measurement result and the second measurement result. In this way, the processing of a quantum entangled state is realized. (FIG. 1) determining n initial quantum states to be processed, wherein each initial quantum state is at least an entangled quantum state formed by at least one first qubit in a first group of qubits and at least one second qubit in a second group of qubits determining at least two nodes associated with the initial quantum state, wherein the first qubit is positioned at a first node of the at least two nodes, and the second qubit is positioned at a second node of the at least two nodes acquiring at least one first parameterized quantum circuit required by the first node and at least one second parameterized quantum circuit required by the second node matched with a preset processing scenario controlling, based on an initial quantum operation strategy, the first node to perform a local quantum operation on at least a portion of the first qubit in the first group of qubits by using the at least one first parameterized quantum circuit, to obtain a first measurement result S,- 105 controlling, based on the initial quantum operation strategy, the second node to perform a local quantum operation on at least a portion of the second qubit in the second group of qubits by using the at least one second parameterized quantum circuit, to obtain a second measurement result S-106 obtaining an output quantum state meeting a preset requirement of the preset processing scenario at least based on the first measurement result and the second measurement result, wherein the output quantum state is an entangled quantum state formed by qubits associated with at least one initial quantum state in the n initial quantum states after the initial quantum operation strategy is executed
-
-
Search Results
3
records
(took 0.028 seconds)
