Abstract: This application relates to a method for analyzing crosstalk between qubits, performed by a terminal. The method includes identifying a first qubit and a second qubit; performing spectral quantum process tomography on quantum states corresponding to the first qubit and the second qubit, to obtain a first eigenspectrum of a signal function corresponding to the first qubit and a second eigenspectrum of a signal function corresponding to the second qubit; performing spectral quantum process tomography on the quantum states corresponding to the first qubit and the second qubit, to obtain a third eigenspectrum of a common signal function of the first qubit and the second qubit; and determining a crosstalk intensity between the first qubit and the second qubit based on the first eigenspectrum, the second eigenspectrum, and the third eigenspectrum.

Abstract: This application provides a channel state information measurement method, to enable a network device to dynamically adjust a quantity of transmit channels, thereby reducing energy consumption of the network device. The network device sends reference signal resource configuration information to a terminal device, where the reference signal resource configuration information indicates P antenna ports. The terminal device measures CSI based on one or more proper subsets of antenna ports in a universal set of the P antenna ports, and sends the CSI to the network device. The network device can dynamically adjust the quantity of transmit channels based on different dimensions of channel state information reported by the terminal device, thereby reducing energy consumption of the network device.

Abstract: An artificial intelligence-based compound processing method and apparatus, an electronic device, a computer-readable storage medium, and a computer program product relates to an artificial intelligence technology. The method includes obtaining an active compound for a target protein; performing compound generation processing on an attribute property of the active compound to obtain a first candidate compound; performing molecular docking processing on the active compound and the target protein to obtain molecular docking information respectively corresponding to a plurality of molecular conformations of the active compound; screening the plurality of molecular conformations based on the molecular docking information respectively to identify a second candidate compound corresponding to the active compound; and constructing a compound library for the target protein based on the first candidate compound and the second candidate compound.

Abstract: This disclosure describes a quantum noise process analysis method, device, and storage medium, in the field of quantum processing technologies. The method may include performing quantum process tomography (QPT) on a quantum noise process of a target quantum system, to obtain dynamical maps of the quantum noise process, wherein the QPT involves at least one measurement of the target quantum. The method further includes extracting transfer tensor maps (TTMs) of the quantum noise process from the dynamical maps; and analyzing the quantum noise process according to the TTMs. The TTM is used for representing a dynamical evolution of the quantum noise process to reflect the law of evolution of the dynamical maps of the quantum noise process over time.

Abstract: Embodiments of this disclosure provide a training method and apparatus for a lithographic mask generation model. The method includes: generating a predictive mask map corresponding to a chip layout through a lithographic mask generation model; generating a predictive wafer pattern corresponding to the predictive mask map through a pre-trained wafer pattern generation model, the wafer pattern generation model being a machine learning model constructed based on a neural network; determining a model precision evaluation index according to the predictive mask map; determining a mask quality evaluation index according to the predictive wafer pattern; determining a training loss according to the model precision evaluation index and the mask quality evaluation index; and adjusting a parameter of the lithographic mask generation model according to the training loss.

Abstract: This application discloses a fault tolerant computation method and device for a quantum Clifford circuit with reduced resource requirement. The method includes decomposing a quantum Clifford circuit into s logic Clifford circuits and preparing auxiliary quantum states corresponding to the s logic Clifford circuits. For each logic Clifford circuit, the method further includes teleporting an input quantum state corresponding to the logic Clifford circuit to an auxiliary qubit, processing a quantum state obtained after the teleportation by the logic Clifford circuit to obtain a corresponding output quantum state; measuring a corresponding error symptom based on the input quantum state and the auxiliary quantum state; and performing error correction on the output quantum state according to the error symptom to obtain an error-corrected output quantum state.

Abstract: This disclosure discloses a fault tolerant and error correction decoding method and apparatus for a quantum circuit, and a chip. This disclosure relates to the field of artificial intelligence (AI) and quantum technologies. The method includes: obtaining actual error syndrome information of a quantum circuit by performing a noisy error syndrome measurement on the quantum circuit by using a quantum error correction (QEC) code; decoding the actual error syndrome information to obtain a logic error class and perfect error syndrome information that correspond to the actual error syndrome information; and determining error result information of the quantum circuit based on the logic error class and the perfect error syndrome information, the error result information being indicative of a data qubit in which an error occurs in the quantum circuit and a corresponding error class.

Abstract: This disclosure discloses a method for preparing an indium pillar, a chip substrate and a chip. The method includes: applying a first photoresist layer on a substrate; applying a second photoresist layer on the first photoresist layer; covering a part of a surface of the second photoresist layer; underexposing the part of the second photoresist layer to obtain a processed second photoresist layer; developing and fixing the processed second photoresist layer to form an undercut structure; etching the first photoresist layer through the undercut structure to form an expose area; and depositing an indium material on the exposed area to form an indium pillar solder.

Abstract: Disclosed are a method for obtaining a quantum circuit performed by a computer device, relating to the field of quantum technologies. The method includes: obtaining a combination of identity matrices and Pauli Z matrices as a diagonal matrix basis; determining a dynamical evolution relationship of imaginary time diagonal control based on the diagonal matrix basis and a dynamical evolution relationship of quantum imaginary time control; determining a first quantum circuit of imaginary time diagonal control based on the dynamical evolution relationship of imaginary time diagonal control; determining a second quantum circuit based on a variational quantum approximation algorithm; and cyclically alternating the first quantum circuit and the second quantum circuit to obtain a quantum circuit.

Abstract: A quantum error correction (QEC) decoding system includes an error correction chip. The error correction chip is configured to: obtain error syndrome information of a quantum circuit; and decode the error syndrome information by running neural network decoders, to obtain error result information, a core operation of the neural network decoders being a multiply accumulate (MA) operation of unsigned fixed-point numbers obtained through numerical quantization. According to the present disclosure, for the system that uses the neural network decoders for QEC decoding, the core operation of the neural network decoders is the MA operation of unsigned fixed-point numbers obtained through numerical quantization, thereby minimizing the data volume and the calculation amount desirable by the neural network decoders, so as to better meet the requirement of real-time error correction.

Abstract: The present disclosure relates to a method for generating a quantum state preparation circuit, a quantum state preparation method, and a quantum device. The method includes: configuring, based on parameters of the quantum state preparation circuit, an input register for the quantum state preparation circuit and determining a number of auxiliary quantum bits; configuring a copy register and a target register according to the number of the auxiliary quantum bits; obtaining a diagonal unitary matrix quantum circuit by performing circuit construction through the input register, the copy register and the target register according to a quantum bit copy mode obtained based on a grid restriction condition; combining the diagonal unitary matrix quantum circuit and a single bit quantum gate to obtain at least one uniformly controlled gate circuit; and generating the quantum state preparation circuit based on the at least one uniformly controlled gate circuit.

Abstract: The present disclosure relates to a method and apparatus for generating a quantum state preparation circuit, a quantum chip, an electronic device, a storage medium, and a computer program product. The method includes: determining a target qubit set with a binary tree restriction and applying a single qubit flip gate to a first target sub-node qubit; applying a two-qubit phase offset gate between sub-node qubits; applying a two-qubit SWAP gate between the first target sub-node qubit and a second target sub-node qubit; taking the sub-node qubits as the root node qubit and iteratively performing until the sub-node qubits are leaf node qubits; and applying the two-qubit phase offset gate with a path restriction between leaf node qubits and applying a single qubit phase offset gate to the leaf node qubits to obtain a quantum state preparation circuit.

Abstract: A thermalized state preparation method under a quantum system, a device and a storage medium relate to the field of quantum technologies. The method includes: acquiring a transformation process performed by a parameterized quantum circuit on an input quantum state of combined qubits to obtain n sets of measurement results (210); processing the second measurement results through a neural network to obtain weight parameters (220); computing a correlation function value of a mixed state of the target quantum system based on the weight parameters and the first measurement results (230); and computing an expected value of an objective function based on the correlation function value (240); adjusting variational parameters taking an expected value convergence of the objective function as a goal (250); and acquiring, under a condition that the expected value satisfies a convergence condition, the mixed state to approximately characterize a thermalized state of the target quantum system (260).

Abstract: The present disclosure relates to a quantum state preparation circuit generation method and apparatus, a quantum chip, and an electronic device. The quantum chip may be applied to various intelligent terminals and on-board devices. The method includes: determining a first unitary operator respectively encoding rc qubits and rt qubits into a control register and a target register; acquiring at least two second unitary operators for performing phase shifting on the n qubits; determining a third unitary operator for replacing a qubit of the control register and a qubit of the target register; generating diagonal unitary matrix quantum circuits based on the first, second, third, fourth unitary operators, and a diagonal unitary matrix operator; combining the diagonal unitary matrix quantum circuits with a single-bit gate to obtain at least two uniform control gates; and combining the at least two uniform control gates into a quantum state preparation circuit.

Abstract: A data processing method includes in response to determining that data corresponding to received data to be written exists, determining a first data identifier of the data corresponding to the data to be written, where the first data identifier is used to obtain a first storage area corresponding to the data, generating a second data identifier of the data to be written, writing the data to be written into the second storage area, in response to receiving a data rollback instruction, obtaining a target data identifier corresponding to the data rollback instruction, and determining a target storage area based on the target data identifier to obtain rollback data from the target storage area. The second data identifier is different from the first data identifier, and the second data identifier corresponds to a second storage area different from the first storage area.

Abstract: A data search method based on a quantum simulated algorithm includes: creating a first search path according to a plurality of pieces of candidate data; obtaining a first processing function corresponding to the first search path, the first processing function comprising the plurality of coefficients, output values of the first processing function being determined by the first search path; traversing at least two value sets of the first search path; obtaining the output values of the first processing function based on a quantum simulated algorithm; respectively using, when the output values of the first processing function converge to a converging value, a plurality of values in a value set corresponding to the converging value as the values of the plurality of coefficients, to obtain a second search path; and searching for target data by using the second search path.

Abstract: A method of a quantum circuit simulation includes receiving a primitive function for the quantum circuit simulation, and determining at least a first input parameter of the primitive function. The quantum circuit simulation includes a plurality of first tensors respectively for the first input parameter. The method includes converting the primitive function to a target function according to the primitive function and the at least the first input parameter. The target function includes a converted first input parameter corresponding to the first input parameter, the plurality of first tensors are spliced into a second tensor for the converted first input parameter in the quantum circuit simulation. The method further includes obtaining an execution result of the target function according to at least the second tensor for the converted first input parameter, and performing the quantum circuit simulation based on the execution result of the target function.

Abstract: A quantum computing method includes determining an initial quantum state of a quantum system, and inputting the initial quantum state to a quantum circuit corresponding to the quantum system and obtaining a quantum state outputted by the quantum circuit, wherein the outputted quantum state is a quantum circuit generation state corresponding to the quantum system. The method further includes updating a quantum system parameter based on the outputted quantum circuit generation state. The quantum system parameter includes a quantum imaginary-time parameter. The method further includes updating a quantum circuit parameter of the quantum circuit according to the updated quantum system parameter to obtain an updated quantum system, and determining a final quantum state of the quantum system as a minimum eigenstate of the quantum system.

Abstract: This application discloses a fault tolerant computation method and device for a quantum Clifford circuit with reduced resource requirement. The method includes decomposing a quantum Clifford circuit into s logic Clifford circuits and preparing auxiliary quantum states corresponding to the s logic Clifford circuits. For each logic Clifford circuit, the method further includes teleporting an input quantum state corresponding to the logic Clifford circuit to an auxiliary qubit, processing a quantum state obtained after the teleportation by the logic Clifford circuit to obtain a corresponding output quantum state; measuring a corresponding error symptom based on the input quantum state and the auxiliary quantum state; and performing error correction on the output quantum state according to the error symptom to obtain an error-corrected output quantum state.

Abstract: A computer system prepares an initial state of a quantum many-body system through a preparation circuit. The quantum many-body system includes a plurality of qubits. The system processes the initial state through a parameterized quantum circuit (PQC) to obtain an output state of the PQC. The output state of the PQC is used for representing an eigenstate of the quantum many-body system. The system measures the output state of the PQC through a measurement circuit. The system obtains a target parameter index based on a measurement result. The target parameter index is used for determining whether the quantum many-body system is in a many-body localization state. In accordance with a determination that the target parameter index satisfies a condition, the system determines that the quantum many-body system is in the many-body localization state.