Quantum equipment calibration method and device, equipment and medium

Abstract

The invention discloses a quantum equipment calibration method and device, equipment and a medium. The quantum equipment calibration method comprises the steps of obtaining an actual output result of quantum equipment; inputting the actual output result into a quantum neural network for training to obtain a corresponding network output result; using the expected output result of the quantum device and the network output result to update the quantum neural network until the quantum neural network converges, and obtaining a trained quantum network line; and outputting a calculation result of the quantum device by using the trained quantum network line. Namely, equipment hardware is not directly debugged, training is carried out in a machine learning mode, the trained quantum network line is obtained, and the calculation result of the quantum equipment is output by utilizing the trained quantum network line, so that the quantum equipment can be effectively calibrated, the calibration complexity of the quantum equipment is reduced, and debugging is facilitated.

Description

technical field [0001] The present application relates to the technical field of quantum information processing, in particular to a quantum device calibration method, device, device and medium. Background technique [0002] Quantum computing is a new type of computing that uses the properties of quantum mechanics to perform calculations. In some fields, it has computing power far exceeding that of classical computing. To realize quantum computing, several challenges in the design and implementation of quantum architectures must be overcome to control, program, and maintain quantum hardware devices. These challenges include improving qubit fidelity, ensuring the accuracy of quantum operations, extending coherence time, and more. [0003] At present, in order to perform quantum computing, every quantum device built needs to be manually adjusted and debugged to ensure reasonable accuracy, fidelity, coherence time, etc. Some existing calibration methods are mainly aimed at the...

AI Technical Summary

Problems solved by technology

Some existing calibration methods are mainly aimed at the control optimization of quantum hardware itself. The optimization method is determined by the physical model. The method is cumbersome and complicated, and requires high-level technical personnel.

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