Abstract: A system for processing a quantum task, a method, a device and a storage medium are provided. The system includes: a user terminal, configured to acquire basic measurement and control parameters of a superconducting quantum computer, generate a quantum task consisting of a quantum pulse and a quantum pulse gate based on the basic measurement and control parameters and an intended task purpose, and send the quantum task to a quantum hardware client; the quantum hardware client, configured to parse the quantum task into a queue of quantum pulses arranged in a time sequence, and send the queue of quantum pulses to the superconducting quantum computer; and the superconducting quantum computer, configured to execute quantum pulse instructions in the queue of quantum pulses in the time sequence, and return an obtained task result to the user terminal.

Abstract: In one embodiment, a method includes receiving a user input corresponding to a task from a first user at a client system, determining that executing the task is to be triggered by client-side events being satisfied and server-side events being satisfied, determining that the client-side events are satisfied, sending a first indication that the client-side events are satisfied from the client system to a remote server, wherein the first indication comprises no privacy-sensitive information regarding the client-side events, receiving a second indication of the server-side events being satisfied at the client system from the remote server, and executing the task.

Abstract: A method of processing a quantum circuit, an electronic device, and a storage medium. A specific implementation solution includes: determining a program logic graph of the quantum circuit, wherein the program logic graph indicates a plurality of logic bits and a logic relationship between the plurality of logic bits; mapping at least part of the plurality of logic bits to corresponding physical bits in a plurality of physical bits in the quantum circuit according to measurement fidelities of the plurality of physical bits and the logic relationship, so as to obtain an initial mapping relationship; and obtaining a target mapping relationship from the plurality of logic bits to the plurality of physical bits according to the initial mapping relationship and a chip coupling graph of the quantum circuit.

Abstract: In one embodiment, a system includes an automatic speech recognition (ASR) module, a natural-language understanding (NLU) module, a dialog manager, one or more agents, an arbitrator, a delivery system, one or more processors, and a non-transitory memory coupled to the processors comprising instructions executable by the processors, the processors operable when executing the instructions to receive a user input, process the user input using the ASR module, the NLU module, the dialog manager, one or more of the agents, the arbitrator, and the delivery system, and provide a response to the user input.

Abstract: A processing method for a quantum circuit, an electronic device, and a storage medium are provided, and relates to the field of quantum computing, and in particular to the field of quantum circuit compilation. The method includes: acquiring a first measurement order of respective logical qubits in the quantum circuit; determining a physical qubit order corresponding to the first measurement order based on a target mapping relationship between the respective logical qubits and respective physical qubits in a chip coupling diagram, wherein the target mapping relationship is obtained by updating based on an initial mapping relationship between the respective logical qubits and the respective physical qubits; determining a second measurement order of the respective logical qubits of the quantum circuit based on the physical qubit order and the initial mapping relationship; and measuring the quantum circuit based on the second measurement order, to obtain a measurement result.

Abstract: A generative attribute optimization (“GAO”) system facilitates understanding of effects of changes of attribute values of an object on a characteristic of the object and automatically identifying attribute values to achieve a desired result for the characteristic. The GAO system trains a generator (encoder and decoder) using an attribute generative adversarial network. The GAO model includes the trained generator and a separately trained predictor model. The GAO model inputs an input image and modified attribute values and employs the encoder and the decoder to generate a modified image that is the input image modified based on the modified attribute values. The GAO model then employs the predictor model to that inputs the modified image and generate a prediction of a characteristic of the modified image. The GAO system may employ an optimizer to modify the attribute values until an objective based on the desired result is achieved.

Abstract: A method includes: obtaining a set of characterizing equations for a quantum gate to be benchmarked; in response to the set of characterizing equations including another quantum gate, determining whether the another quantum gate has been benchmarked as trusted; in response to the another quantum gate having been benchmarked as trusted, successively performing a quantum gate operation on each characterizing equation in the set of characterizing equations to obtain, for each characterizing equation, a corresponding measurement result; for each characterizing equation, determining whether the measurement result for the characterizing equation meets an expected result in the characterizing equation for characterization; and in response to the measurement results for each characterizing equation in the set of characterizing equations meeting the expected result, benchmarking the quantum gate to be benchmarked as trusted.

Abstract: Provided are a quantum pulse determining method, apparatus, device and readable storage medium, where basic pulses corresponding to basic logic gates are set in advance, the method including: when manipulating a qubit according to a quantum logic gate, splitting the quantum logic gate to obtain sub-logic gates; and searching for sub-pulses corresponding to the sub-logic gates among the basic pulses, and manipulating the qubit according to the sub-pulse. Basic pulses are set in advance in the method, apparatus, device and readable storage medium provided by the embodiments. When a qubit is to be manipulated, the quantum logic gate can be split into multiple sub-logic gates, and then sub-pulses corresponding to the sub-logic gates are searched for among the basic pulses. Thus, sub-pulses read can be used directly to manipulate the qubit, avoiding the computing power consumed in generating pulses according to the quantum logic gate, thereby improving an operation speed.

Abstract: A control pulse generation method, a system, a device and a storage medium are provided, which are related to the field of quantum computing. The method includes: acquiring a system Hamiltonian; acquiring an initial control pulse of a quantum logic gate included in a parameterized quantum circuit to obtain an initial pulse sequence for a gate sequence formed for all the quantum logic gates in the parameterized quantum circuit, which is obtained through simulation based on the system Hamiltonian; acquiring system state information of the quantum system obtained after applying the initial pulse sequence to the target quantum hardware device; adjusting a parameter of the parameterized quantum circuit based on a relationship between the system state information and target state information needed to be achieved by the target quantum control task, to adjust a pulse parameter of the initial pulse sequence to obtain a target pulse sequence.

Abstract: A quantum circuit simulation method and device, an apparatus, and a storage medium are provided, which are related to a field of quantum simulation computation. The specific implementation is: obtaining, based on a quantum circuit containing n qubits, an n-order pure state corresponding to the quantum circuit; determining, based on the quantum circuit, a (k, k)-order gate tensor representing a quantum gate, on which a contraction processing is to be performed with the n-order state tensor; transforming the contraction processing between the n-order state tensor and the (k, k)-order gate tensor into a processing between matrices which can be expressed in a classic computer and reduce a computation amount in the classic computer, to obtain a processing result; and using the processing result as a result of the contraction processing between the n-order state tensor and the (k, k)-order gate tensor, to complete simulation of the quantum circuit.

Abstract: A generative attribute optimization (“GAO”) system facilitates understanding of effects of changes of attribute values of an object on a characteristic of the object and automatically identifying attribute values to achieve a desired result for the characteristic. The GAO system trains a generator (encoder and decoder) using an attribute generative adversarial network. The GAO model includes the trained generator and a separately trained predictor model. The GAO model inputs an input image and modified attribute values and employs the encoder and the decoder to generate a modified image that is the input image modified based on the modified attribute values. The GAO model then employs the predictor model to that inputs the modified image and generate a prediction of a characteristic of the modified image. The GAO system may employ an optimizer to modify the attribute values until an objective based on the desired result is achieved.

Abstract: Techniques for database versioning are described. In one embodiment, an apparatus may comprise a database change management component operative to compare a developer table to a reference table to determine a database change set, wherein both the developer table and the reference table are based on a target table; a database conflict management component operative to compare the database change set to the target table to determine a conflicting change set; and a user interface component operative to display the conflicting change set where the conflicting change set comprises one or more conflicting changes; and indicate a conflict-free change set where the conflicting change set is empty. Other embodiments are described and claimed.

Abstract: Provided are a quantum pulse determining method, apparatus, device and readable storage medium, where basic pulses corresponding to basic logic gates are set in advance, the method including: when manipulating a qubit according to a quantum logic gate, splitting the quantum logic gate to obtain sub-logic gates; and searching for sub-pulses corresponding to the sub-logic gates among the basic pulses, and manipulating the qubit according to the sub-pulse. Basic pulses are set in advance in the method, apparatus, device and readable storage medium provided by the embodiments. When a qubit is to be manipulated, the quantum logic gate can be split into multiple sub-logic gates, and then sub-pulses corresponding to the sub-logic gates are searched for among the basic pulses. Thus, sub-pulses read can be used directly to manipulate the qubit, avoiding the computing power consumed in generating pulses according to the quantum logic gate, thereby improving an operation speed.

Abstract: Automatically identifying insights from a dataset and presenting the insights graphically and in natural language text ranked by importance is provided. Different data types and structures in the dataset are automatic recognized and matched with a corresponding specific analysis type. The data is analyzed according to the determined corresponding analysis types, and insights from the analysis are automatically identified. The insights within a given insight type and between insight types are ranked and presented in order of importance in automatically generate charts that visually describe each insight and in natural language text that describes each insight in such a way that it may be understandable to a general audience who may not have a familiarity with statistics.

Abstract: Automatically identifying insights from a dataset and presenting the insights graphically and in natural language text ranked by importance is provided. Different data types and structures in the dataset are automatic recognized and matched with a corresponding specific analysis type. The data is analyzed according to the determined corresponding analysis types, and insights from the analysis are automatically identified. The insights within a given insight type and between insight types are ranked and presented in order of importance in automatically generate charts that visually describe each insight and in natural language text that describes each insight in such a way that it may be understandable to a general audience who may not have a familiarity with statistics.