Lightweight and rapid quantum circuit simulation implementation system based on PyTorch

Abstract

A PyTorch-based lightweight and rapid quantum circuit simulation implementation system comprises a quantum circuit design module, a quantum circuit conversion module and a quantum circuit calculation module, and the quantum circuit design module constructs a corresponding quantum circuit object according to a quantum circuit description input by a user; the quantum circuit conversion module performs conversion and compiling according to the quantum circuit object to obtain a corresponding quantum circuit PyTorch object; and the quantum circuit calculation module performs quantum circuit analog calculation according to the quantum circuit PyTorch object and a quantum state input by a user to obtain a measurement result used for forming a complete quantum circuit model. According to the invention, a complex quantum circuit simulation implementation scene can be more efficiently and flexibly dealt with.

Description

technical field [0001] The invention relates to a technology in the field of quantum computing, in particular to a lightweight and fast quantum circuit simulation implementation system based on PyTorch. Background technique [0002] It is increasingly difficult for classical computers to provide sufficient computing speed, and the birth of quantum computing has brought new solutions to many computer-related problems. The existing quantum circuit computing simulation framework implemented in Python mainly supports the definition and modular operation of quantum circuits. After the definition of the quantum circuit is completed, the functions in it can be directly called to obtain the unitary matrix form corresponding to the quantum circuit, which greatly facilitates the realization of the quantum autoencoder and logarithmic encoding. However, since each time the parameters are updated, the unitary matrix needs to be recalculated, which greatly slows down the operation speed ...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problems existing in the existing quantum circuit simulation framework, such as inflexibility and slow calculation, the present invention proposes a light and fast quantum circuit simulation implementation system based on PyTorch, and utilizes the characteristics of quantum gate circuits to convert the matrix in quantum circuit simulation into The multiplication calculation process is modularized to reduce the time complexity of calculation; at the same time, the appropriate calculation backend is automatically selected according to the user's computing equipment, which greatly improves the calculation speed and can more efficiently and flexibly deal with complex quantum circuit simulation implementation scenarios

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