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: An electrochemical device includes a housing, an electrode assembly, and a first electrode. The electrode assembly is accommodated in an accommodation cavity of the housing. The first electrode includes a first plug-in portion. The first plug-in portion extends away from the accommodation cavity and protrudes beyond an outer surface of the housing. The first plug-in portion is configured to be snap fitted to a first jack of an external device. The first plug-in portion is provided with a groove or an elastic bulge. The groove or the elastic bulge of the first plug-in portion is configured to be snap-fitted to a first elastic bulge disposed protrusively on an outer wall of the first jack or the first groove provided on an inner wall of the jack respectively.

Abstract: A natural language code search service provides idioms or frequently-occurring code patterns for a code fragment based on similar type usage and method/API invocation usage. The search service uses a data mining technique that mines code snippets found from various websites and code snippets generated from a neural model to detect idioms in the code snippets that were previously unknown and which can be reused. A search is initiated through a natural language query within a code development tool or application thereby avoiding the need to switch out of the current application to perform the search.

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.

Abstract: A signal control system for quantum computing includes a signal source, a waveform calibration circuit, a qubit control line, and a qubit module. The signal source is configured to generate an original control signal. The waveform calibration circuit includes at least one IIR digital filter. The IIR digital filter is configured to perform waveform calibration on the original control signal to obtain a calibrated control signal. The qubit control line is configured to guide the calibrated control signal to the qubit module. The qubit module is configured to generate a qubit. The calibrated control signal acts on the qubit after passing through the qubit control line, so as to control the qubit.

Abstract: A data mining technique is used to find large frequently-occurring source code patterns from methods/APIs that can be used in code development. Simplified trees that represent the syntactic structure and type and method usage of a source code fragment, such as a method, are mined to find closed and maximal frequent subtrees which represent the largest frequently-occurring source code patterns or idioms associated with a particular type and method usage. These idioms are then used in an idiom web service and/or a code completion system to assist users in the development of source code programs.

Abstract: This application discloses a neural network-based QEC decoding method. The method includes: obtaining error syndrome information of a quantum circuit; performing block feature extraction on the error syndrome information by using a neural network decoder, to obtain feature information; and performing fusion decoding processing on the feature information by using the neural network decoder, to obtain error result information, the error result information being used for determining a data qubit in which an error occurs in the quantum circuit and a corresponding error type. In this application, a block feature extraction manner is used, a quantity of channels of feature information obtained by each feature extraction is reduced, and inputted data of next feature extraction is reduced, which reduces a quantity of feature extraction layers in a neural network decoder. Therefore, a decoding time used by the neural network decoder is reduced, thereby achieving real-time error correction.

Abstract: A quantum computing task processing method includes: performing transformation processing on input quantum states of n+m qubits through a parameterized quantum circuit, the n+m qubits including n task bits and m auxiliary bits; measuring output quantum states of the n+m qubits to obtain a bit string of the n+m qubits; updating parameters of the parameterized quantum circuit based on output quantum states of the n task bits when an auxiliary substring satisfies a post-selection condition and the parameterized quantum circuit has not converged, the auxiliary substring being a substring corresponding to the m auxiliary bits in the bit string; and obtaining a computing result of the target quantum computing task based on the output quantum states of the n task bits when the auxiliary substring satisfies the post-selection condition and the circuit has converged.

Abstract: An expectation value estimation method for a quantum system includes: acquiring an output quantum state of n qubits obtained from an input quantum state of the n qubits through a noisy parameterized quantum circuit (PQC); post-processing the output quantum state of the n qubits by using a neural network to obtain expectation values of a plurality of Pauli strings which are obtained by decomposing a target function; calculating an expectation value of the target function under the output quantum state of the n qubits according to the expectation values of the plurality of Pauli strings; adjusting at least a parameter of the neural network until the expectation value of the target function converges; and acquiring, when the expectation value of the target function satisfies a convergence condition, a convergent expectation value of the target function, the convergent expectation value being an expectation value that satisfies the convergence condition.

Abstract: A parity checking method and apparatus for a qubit, a superconducting quantum chip, an electronic device, and a storage medium are provided. The method includes: configuring a measurement system for a qubit excited state measurement environment, the measurement system including: a first data qubit, a second data qubit, and an auxiliary qubit; determining a first operational frequency parameter of the first data qubit; determining a second operational frequency parameter of the second data qubit; determining a third operational frequency parameter of the auxiliary qubit; determining a logic gate matching the qubit excited state measurement environment based on the first operational frequency parameter, the second operational frequency parameter, and the third operational frequency parameter; and checking parity of a qubit in the qubit excited state measurement environment according to the logic gate.

Abstract: This disclosure relates to a method and apparatus for training a prediction model. The method includes: obtaining a training sample set; determining a current training sample from the training sample set based on the training sample weights; inputting current target energy characteristics corresponding to the current training sample into a pre-trained prediction model for basic training to obtain a basic prediction model after completing the basic training; updating the training sample weights corresponding to the training samples based on the basic prediction model; and returning to perform the operation of determining the current training sample from the training sample set based on the updated training sample weights until completing model training to obtain a target prediction model.

Abstract: This disclosure relates to a method and an apparatus for classification model training.

Abstract: Provided are a quantum state preparation circuit generating method and apparatus, a superconducting quantum chip, and a storage medium. The method includes: configuring an input register storing n qubits, n being a positive integer; acquiring m ancilla qubits, m being a positive integer; configuring a copy register and a phase register storing m/2 ancilla qubits and m/2 ancilla qubits, respectively; processing qubits through the input register, the copy register, and the phase register, to obtain a diagonal unitary matrix quantum circuit; combining the diagonal unitary matrix quantum circuit and a single bit gate to obtain a uniform control matrix circuit; and combining different uniform control matrix circuits to obtain a quantum state preparation circuit.