Abstract: A method is provided that includes: determining auxiliary qubits and a quantum state ? on which a preset quantum operation is to be performed; modeling quantum noise in the quantum operation to obtain a quantum noise channel corresponding to the quantum operation; initializing an encoding circuit to be trained, where the encoding circuit includes an adjustable parameter and is configured to act on the quantum state ? and the auxiliary qubits; defining an expression of first mapping, where a result obtained after the first mapping, the quantum noise channel, and the encoding circuit are connected in series is close to an identity channel within a preset error tolerance range; adjusting a value of the adjustable parameter of the encoding circuit to determine the first mapping; and determining, based on the trained encoding circuit and the first mapping, an unbiased estimate of a quantum operation result obtained after canceling quantum noise.

Abstract: Provided are a simulation method of a quantum system, a computing device, and a storage medium relating to the field of data processing, and in particular to the field of quantum computing. The method includes: acquiring at least two measurement results; calculating a loss value of a loss function representing an average trace distance; and taking, in the case where the loss value of the loss function satisfies an iteration requirement, a preset parameterized quantum circuit with an adjustable parameter at a first parameter value as a target parameterized quantum circuit.

Abstract: The present disclosure provides a quantum circuit processing method and a quantum circuit processing device on a quantum chip, and an electronic device, and it relates to the field of quantum computing technology, in particular to the field of quantum circuit technology. The method includes: obtaining a first swap fidelity for measuring connectivity of the quantum chip, the first swap fidelity being determined in accordance with first information, the first information being used to represent a topological structure of the quantum chip, the topological structure indicating that the quantum chip includes at least two physical quantum bits, the first swap fidelity being used to represent an average state maintenance level of logic quantum bits obtained through analog exchanging quantum states of any two of the physical quantum bits; and performing quantum circuit processing on the quantum chip in accordance with the first swap fidelity.

Abstract: A method is provided. The method includes: determining L+1 parameterized quantum circuits and L data encoding circuits; obtaining a plurality of training data pairs including independent variable data and dependent variable data. The method further includes, for each of the training data pairs: cascading the parameterized quantum circuits and the data encoding circuits alternately to form a quantum neural network, where the data encoding circuits code the independent variable data in the training data pair; and operating the quantum neural network from an initial quantum state and performing measurement on the output of the quantum neural network, to obtain a measurement result. The method further includes, computing a loss function based on measurement results corresponding to all the training data pairs and corresponding dependent variable data; and adjusting parameters to be trained of the parameterized quantum circuits and the data encoding circuits to minimize the loss function.

Abstract: A method is provided. The method includes: determining m first parameterized quantum circuits and a second parameterized quantum circuit of an m-dimensional quantum system; obtaining m first quantum states obtained after the first parameterized quantum circuits act on an initial quantum state and m second quantum states obtained after the quantum channel acts on the m first quantum states; obtaining a quantum state matrix obtained after the second parameterized quantum circuit acts on the initial quantum state, where diagonal elements of the matrix correspond to the first quantum states to constitute an ensemble; optimizing parameters of the parameterized quantum circuits by minimizing a loss function, where the loss function is determined based on Holevo information of the quantum channel at the current ensemble; and determining the Holevo information, obtained after the optimization, of the quantum channel as an estimated value of the classical capacity of the quantum channel.

Abstract: A method includes: obtaining training texts; for each of the training texts, performing the following operations: obtaining a word vector of each word in the current training text as a parameter of a first quantum circuit to obtain quantum states; inputting each of the quantum states to second, third, and fourth quantum circuits and performing measurement; calculating one group of weight values corresponding to each word to obtain a feature vector corresponding to the current training text; inputting the feature vector to a neural network model to obtain a prediction value; and determining a value of loss function based on the prediction value and a label value, and adjusting parameters corresponding to the second, third, and fourth quantum circuits and the neural network model based on the value of the loss function.

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.

Abstract: A quantum entangled state processing method, a device, and a storage medium are provided, 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; 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.