量子算法中的后选优化:双向量子计算方法

Alex Linden, Betül Gül
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引用次数: 0

摘要

后选择是一种允许选择特定测量结果的操作。它是提高现有量子算法性能的强大理论工具。尽管量子测量中的时间逆转和 IBM 的中电路测量等技术取得了最新发展,但后选择仍然面临着重大挑战,其中最突出的是扩展性差,通常是指数级扩展。本研究探讨了双向量子计算(2WQC)如何为这些挑战提供潜在的解决方案。通过引入后处理概念并实现动态量子状态控制,2WQC 有可能缓解扩展问题并提高后选择的实用性,从而促进量子算法领域的进步。
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Optimization of Postselection in Quantum Algorithms: A Two-Way Quantum Computing Approach
Postselection is an operation that allows the selection of specific measurement outcomes. It serves as a powerful theoretical tool for enhancing the performance of existing quantum algorithms. Despite recent developments such as time reversal in quantum measurements and IBM's mid-circuit measurements, postselection continues to face significant challenges, most notably poor, often exponential, scaling. This study investigates how Two-Way Quantum Computing (2WQC) offers potential solutions to these challenges. By introducing the concept of postparation and enabling dynamic quantum state control, 2WQC has the potential to mitigate scaling issues and improve the practicality of postselection, thereby fostering advancements in the field of quantum algorithms.
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