Quantum comb is an essential tool for characterizing complex quantum
protocols in quantum information processing. In this work, we introduce PQComb,
a framework leveraging parameterized quantum circuits to explore the
capabilities of quantum combs for general quantum process transformation tasks
and beyond. By optimizing PQComb for time-reversal simulations of unknown
unitary evolutions, we develop a simpler protocol for unknown qubit unitary
inversion that reduces the ancilla qubit overhead from 6 to 3 compared to the
existing method in [Yoshida, Soeda, Murao, PRL 131, 120602, 2023]. This
demonstrates the utility of quantum comb structures and showcases PQComb's
potential for solving complex quantum tasks. Our results pave the way for
broader PQComb applications in quantum computing and quantum information,
emphasizing its versatility for tackling diverse problems in quantum machine
learning.

该研究论文介绍了 PQComb，这是一个利用参数化量子电路探索量子梳在量子信息处理中的潜力的框架。通过优化 PQComb 以进行未知量子基本演化的时间逆向模拟，我们提出了一种较简化的未知量子比特基本反转方案，将辅助比特开销从 6 个减少到 3 个，与 [Yoshida，Soeda，Murao，PRL 131, 120602, 2023] 中的现有方法相比。这展示了量子梳结构的实用性，并展示了 PQComb 在解决复杂量子任务方面的潜力。研究结果为在量子计算和量子信息领域中更广泛地应用 PQComb 铺平了道路，并强调了 PQComb 在处理量子机器学习中不同问题时的多功能性。