Abstract: A superconducting quantum hybrid system includes: a silicon carbide (SiC) epitaxial layer; and a superconducting qubit line, the superconducting qubit line corresponding to a superconducting qubit, where a designated region of the SiC epitaxial layer includes a nitrogen vacancy (NV) center, the NV center being formed by implanting nitrogen ions into the designated region of the SiC epitaxial layer, and where the superconducting qubit line is located on a surface of the SiC epitaxial layer, the superconducting qubit is coupled to a solid-state defect qubit, and the solid-state defect qubit is a qubit corresponding to the NV center in the designated region.

Abstract: A method for manufacturing an air bridge, an air bridge, and an electronic device are disclosed. The method for manufacturing an air bridge includes: applying a first photoresist layer to a substrate; applying a second photoresist layer to the first photoresist layer; exposing, developing, and fixing the second photoresist layer, to form a patterned structure; etching away the first photoresist layer in a specified area through the patterned structure, to form a structure for blocking a deposition material from diffusing to a periphery on the substrate, the specified area including a projection area formed on the first photoresist layer by a top opening of the patterned structure; and depositing a bridge support structure on a surface of the substrate exposed after the first photoresist layer in the specified area is etched away, and forming an air bridge based on the bridge support structure.

Abstract: A method for processing a frequency control signal includes providing a square wave pulse to a target qubit, and controlling, after a first time elapses from an end time of the square wave pulse, the target qubit to rotate around a Y axis by a first target distance. The first time has a value that is variable. The method includes performing, after a second time elapses from the first time, a QST measurement on the target qubit and reconstructing a density matrix of the target qubit based on the QST measurement to obtain a phase parameter value of the target qubit associated with the value of the first time. Further, the method includes varying the first time and repeating the QST measurement in response to values of the first time to obtain phase parameter values associated with the values of the first time; and adjusting the frequency control signal accordingly.

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: 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: This disclosure discloses a method and apparatus for determining a quantum circuit. The method may include sampling an initial circuit unit pool according to an initial sampling manner to obtain initial K groups of circuit units and constructing and generating initial K candidate quantum circuits. The method may further include determining a performance evaluation index corresponding to the initial K candidate quantum circuits and updating the initial sampling manner and a circuit unit in the initial circuit unit pool based on the performance evaluation index, to obtain an updated sampling manner and an updated circuit unit pool. The method may further include sampling the updated circuit unit pool according to the updated sampling manner to obtain updated K groups of circuit units and constructing and generating updated K candidate quantum circuits. The method may further include determining a target quantum circuit from the updated K candidate quantum circuits.

Abstract: This application discloses methods and devices for a quantum chip, a quantum processor and a quantum computer, and relates to the field of quantum technology. The quantum chip includes a bottom sheet and a top sheet; a qubit array disposed on the top sheet, the qubit array comprising a plurality of qubits distributed in an array structure of M rows by N columns, and M and N being both integers greater than 1; a reading cavity disposed on the bottom sheet, and the reading cavity being configured to acquire status information of a qubit in the qubit array; and the bottom sheet and the top sheet being electrically connected.

Abstract: Embodiments of this application relate to a retrosynthesis processing method and apparatus, an electronic device, and a computer-readable storage medium. A retrosynthesis processing method is performed by a computer device. The method includes determining molecular representation information of a target molecule. The method includes inputting the molecular representation information into a target neural network. The method includes performing, via the target neural network, retrosynthesis processing on the target molecule based on the molecular representation information of the target molecule, to obtain a respective retrosynthesis reaction of the target molecule for each step of the retrosynthesis processing.

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: This application provides a quantum noise process analysis method, system, storage medium, and electronic device, which are applied in the field of quantum information processing technology.

Abstract: A data classification method and system, and a classifier training method and system are disclosed in the embodiments of the present disclosure, belonging to the field of artificial intelligence (AI), cloud technologies, and quantum technologies. The method includes: providing to-be-classified data to a quantum computer; performing feature mapping on the to-be-classified data by using a quantum circuit to obtain a quantum state of the to-be-classified data; determining an estimation result according to a boundary vector of a classifier, the quantum state of the to-be-classified data, and a quantum state of index information corresponding to the boundary vector; transmitting the estimation result to a classical computer. The quantum state of the index information refers to a superposition of feature maps of training data used by the classifier during training; and determining a classification result corresponding to the to-be-classified data according to the estimation result.

Abstract: This application discloses a method and apparatus for detecting a molecule binding site, an electronic device, and a storage medium, relating to the field of computer technologies. According to one embodiment, the method includes: obtaining 3D coordinates of at least one site in a target molecule; for each site, obtaining a prediction probability indicating a possibility of the each site being a binding site via a site detection model; and determining a binding site from the at least one site in the target molecule based on the prediction probability of the each of the at least one site.

Abstract: Embodiments of this disclosure provide a photoresist structure, a patterned deposition layer, a semiconductor chip and a manufacturing method thereof According to the method for manufacturing a photoresist structure, a single photoresist is used, a second photoresist layer having an undercut can be obtained by only one development process using a single developing solution, and the size of the undercut can be controlled by the development time, thereby solving the problems such as difficulty in lift-off caused by adhesion of the deposited material to the sidewall of the photoresist structure in traditional lift-off processes.

Abstract: This application is directed to predicting an adiabatic evolution path and relates to the field of artificial intelligence (AI). In one aspect, a computer device obtains a target Hamiltonian H1 of a quantum computing problem. The computer device also determines an initial Hamiltonian H0 and a target ground state energy E1 according to the target Hamiltonian H1. The device converts a search for an adiabatic evolution path from the initial Hamiltonian H0 to the target ground state energy E1 into a chessboard game. The device also solves an optimal chessboard path of the chessboard game using a Monte Carlo tree search (MCTS) in combination with a neural network. The device also outputs the adiabatic evolution path according to the optimal chessboard path.

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 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: This application relates to a sideband suppression method performed at a computer device.

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 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: A freezing temperature controllable spray freezing tower for preparing micron-sized spherical ice particles includes a tower body, an atomization system, a material feeding system, a circulatory air supplying system, a refrigeration system and a tower wall cooling and thermal insulation system. An air storage cavity is formed at a top of the tower body, a freezing chamber is formed inside the tower body, a material collecting chamber is formed at a bottom of the tower body. The atomization system is in communication with the air storage cavity, the material feeding system is in communication with the atomization system, the circulatory air supplying system is in communication with the bottom of the freezing chamber and the refrigeration system respectively, the refrigeration system is connected to the air storage cavity and a tower wall of the tower body. Thus the operation is convenient and simple.