Abstract: Disclosed are a quantum computer operating system and a quantum computer. In the operating system, if the quantity of the free qubits on a certain chip in the quantum chip cluster is not less than the quantity required by the quantum computing task, selecting a first quantum bit whose reading fidelity is within a preset range from the free qubits and obtaining a nearby pair of quantum bits based on the community detection algorithm and the greedy algorithm, and combining them to form a qubit topological structure until the number of quantum bits is equal to the number required by the quantum computing task. Finally, mapping the quantum computing task to be processed with the qubit topological structure to execute the quantum computing task to be processed.

Abstract: Disclosed are a method and an apparatus for constructing a quantum circuit corresponding to a linear function. The method includes: adding an independent variable of a target linear function on a first qubit; obtaining a second qubit for outputting the target linear function, adding a parametric quantum logic gate acting on the second qubit, and controlling the parametric quantum logic gate by using the first qubit; and determining a parameter value of the parametric quantum logic gate based on the target linear function, to obtain a quantum circuit corresponding to the target linear function.

Abstract: Disclosed are a quantum computer operating system, a quantum computer and a quantum computer readable storage medium. The quantum computer operating system comprises: a quantum program compiling-optimizing service module configured for obtaining a quantum program to be executed, obtaining a topology of a qubit in a quantum chip of a second quantum computing hardware device, compiling the quantum program into quantum computing tasks based on the topology; and a communication module configured for sending the quantum computing tasks to the second quantum computing hardware device for quantum computing; wherein the topology is a current topology of an available qubit in the quantum chip of the second quantum computing hardware device, and the quantum program compiling-optimizing service module compiles the quantum program into the quantum computing tasks based on the current topology.

Abstract: Quantum preprocessing methods, devices, storage medium are disclosed. An embodiment includes: acquiring element information of a first matrix A and a first vector b in a linear system Ax={right arrow over (b)}; constructing a new matrix M for linear system preprocessing; computing a second matrix A? and a second vector b? for constructing a quantum circuit, according to the new matrix M; and constructing, a first quantum circuit representing a quantum state evolution of a specific class of element in the second matrix A?, and a second quantum circuit representing a quantum state evolution of a specific class of element in the second vector b?, and executing a quantum state evolution operation respectively on the first quantum circuit and the second quantum circuit, to obtain an evolved quantum state of the first quantum circuit and an evolved quantum state of the second quantum circuit.

Abstract: Disclosed are a method, device, storage medium and electronic device for data reading, applied to a pre-constructed quantum random access memory (QRAM) architecture for accessing data, wherein the QRAM architecture is a binary tree structure and comprises the following nodes: N layers of subtree node and one layer of leaf node, the N being an address length; the method includes: determining an address represented by a quantum state distributedly stored in each layer of subtree node; and moving, according to the address, data stored in the leaf node to the upper layer of subtree node via a first preset quantum circuit, until data corresponding to the address is output at a subtree node at the root of the binary tree structure.

Abstract: The present disclosure provides a quantum convolution operator, comprising: a quantum state encoding module, a quantum entanglement module, a quantum convolution kernel module, a measuring module, and a computing module; the quantum state encoding module is configured to encode a current group of input data onto qubits; the quantum entanglement module is configured to associate quantum state information of different qubits; the quantum convolution kernel module is configured to extract feature information corresponding to the quantum state information; the measuring module is configured to measure a quantum state of a preset qubit and obtain a corresponding amplitude; the computing module is configured to compute a convolution result corresponding to the current group of input data according to the measured quantum state and its amplitude.

Abstract: Disclosed are a method and an apparatus for constructing a quantum circuit corresponding to a linear function. The method includes: adding an independent variable of a target linear function on a first qubit; obtaining a second qubit for outputting the target linear function, adding a parametric quantum logic gate acting on the second qubit, and controlling the parametric quantum logic gate by using the first qubit; and determining a parameter value of the parametric quantum logic gate based on the target linear function, to obtain a quantum circuit corresponding to the target linear function.

Abstract: Disclosed is a quantum circuit-based value-at-risk estimation method, device, medium and electronic device, which represents correspondingly sampled value fluctuation ratios and fluctuation ratio probabilities based on the N target qubits, then builds a corresponding quantum circuit based on the target qubits, obtains every target probability whose value fluctuation ratio is less than a fluctuation ratio reference value through the quantum circuit, then determines the target value fluctuation ratio according to the target probability and the probability threshold, and finally calculates the target value-at-risk of the target object according to the target value fluctuation ratio.

Abstract: A quantum computing task execution method and apparatus, and a quantum computer operating system are applied to a first electronic device including a quantum chip. First physical qubits in the quantum chip are assigned to execute a first quantum computing task. The method includes: acquiring a current topological structure of the quantum chip; acquiring a second quantum computing task in a task queue; determining second physical qubits based on the current topological structure and the second quantum computing task, wherein the second physical qubits and the first physical qubits do not interfere with each other; and assigning the second physical qubits to execute the second quantum computing task. According to some embodiments of the present disclosure, parallel computing of a plurality of quantum computing tasks can be realized during quantum computing.

Abstract: Disclosed are a method and an apparatus for amplitude estimation of a quantum circuit. The method includes: calculating a first difference value between a current angle upper limit value and a current angle lower limit value corresponding to a to-be-estimated amplitude of a target quantum state, and determining the first difference value as a target difference; determining, a next angle amplification factor and a next flag parameter corresponding to a next iteration step; amplifying the target quantum circuit by the next angle amplification factor; calculating a second difference value between a next angle upper limit value and a next angle lower limit value of the to-be-estimated amplitude, and determining the second difference value as a target difference; and determining, based on an angle upper limit value and an angle lower limit value that reach the precision threshold, a probability estimated value corresponding to a to-be-estimated quantum bit.

Abstract: Disclosed are a method and device for constructing a quantum circuit of a QRAM architecture, the QRAM architecture being configured for accessing data and being a binary tree structure, the method including: partitioning the binary tree structure into basic circuit structures, wherein a basic circuit structure comprises address bits and data bits of one subtree node and data bits of two child nodes in the lower layer of the one subtree node; determining qubits required for a basic quantum circuit to be constructed, according to qubits included in the basic circuit structure; determining an input and an output of the basic quantum circuit to be constructed, according to action relationships between the qubits required for the basic quantum circuit to be constructed; and constructing a basic quantum circuit corresponding to the basic circuit structure, according to the input and the output using the required qubits and quantum logic gates.

Abstract: The disclosure relates to the field of quantum computing, specifically to a method and device for quantum division operation with precision.

Abstract: Disclosed are a method and an apparatus for amplitude estimation of a quantum circuit. The method includes: calculating a first difference value between a current angle upper limit value and a current angle lower limit value corresponding to a to-be-estimated amplitude of a target quantum state, and determining the first difference value as a target difference; determining, a next angle amplification factor and a next flag parameter corresponding to a next iteration step; amplifying the target quantum circuit by the next angle amplification factor; calculating a second difference value between a next angle upper limit value and a next angle lower limit value of the to-be-estimated amplitude, and determining the second difference value as a target difference; and determining, based on an angle upper limit value and an angle lower limit value that reach the precision threshold, a probability estimated value corresponding to a to-be-estimated quantum bit.

Abstract: The present disclosure provides a method and an apparatus for constructing a quantum machine learning framework, a quantum computer and a computer storage medium.