论文标题
超导量子的弹性分析和改善变异量子保理
Resiliency Analysis and Improvement of Variational Quantum Factoring in Superconducting Qubit
论文作者
论文摘要
使用量子近似优化算法（QAOA）的变异算法可以在近期嘈杂的量子计算机中解决主要分解问题。常规的变异量子保理（VQF）需要大量的2 Quibent大门（尤其是用于大量车数），从而产生深层电路。由于错误限制了量子计算的计算能力，因此深量子电路的输出质量被降低。在本文中，我们探索了各种转换，以优化QAOA电路以进行整数分解。我们提出了两个标准，以选择可以提高VQF噪声弹性的最佳量子电路。
Variational algorithm using Quantum Approximate Optimization Algorithm (QAOA) can solve the prime factorization problem in near-term noisy quantum computers. Conventional Variational Quantum Factoring (VQF) requires a large number of 2-qubit gates (especially for factoring a large number) resulting in deep circuits. The output quality of the deep quantum circuit is degraded due to errors limiting the computational power of quantum computing. In this paper, we explore various transformations to optimize the QAOA circuit for integer factorization. We propose two criteria to select the optimal quantum circuit that can improve the noise resiliency of VQF.
