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arXiv 2408.00530quant-phcs.ET

在任意有限维量子系统中鲁棒实现离散时间量子行走

Robust Implementation of Discrete-time Quantum Walks in Any Finite-dimensional Quantum System

Biswayan Nandi, Sandipan Singha, Ankan Datta, Amit Saha, Amlan Chakrabarti

AI总结:

针对NISQ时代无辅助量子比特条件下DTQW电路成本高的问题,提出基于中间qudit的多量子比特门分解方法,将门数与深度减半,并推广至任意有限维量子系统。

摘要:

研究表明,量子行走可以加速某些量子算法,并作为量子处理的通用范式。离散时间量子行走(DTQW)模型由于其离散性质,成为最适合电路实现的选择之一。然而,当前大多数实现的特点是使用庞大的多层量子电路,这导致更高的计算开销,并使当前量子计算机上能够可靠执行的时间步数显著减少。由于在这个NISQ时代量子计算机的可扩展性仍不足,我们还必须将自己限制在无辅助量子比特的前沿区域。因此,在本文中,通过我们在量子比特系统中提出的方法,与最先进的增减方法相比,我们成功将门数量和电路深度方面的电路成本降低了一半。此外,为了使我们提出的方法具备工程上的卓越性,我们以相近的效率在任意有限维量子系统中实现DTQW。为了确保在不需要辅助量子比特的情况下高效实现量子行走,我们引入了一种中间qudit技术来分解多量子比特门。实验结果的意义远不止于少数几个时间步的范围,而是为在量子计算机上可靠实现和利用奠定了基础。

英文摘要:

Research has shown that quantum walks can accelerate certain quantum algorithms and act as a universal paradigm for quantum processing. The discrete-time quantum walk (DTQW) model, owing to its discrete nature, stands out as one of the most suitable choices for circuit implementation. Nevertheless, most current implementations are characterized by extensive, multi-layered quantum circuits, leading to higher computational expenses and a notable decrease in the number of confidently executable time steps on current quantum computers. Since quantum computers are not scalable enough in this NISQ era, we also must confine ourselves to the ancilla-free frontier zone. Therefore, in this paper, we have successfully cut down the circuit cost concerning gate count and circuit depth by half through our proposed methodology in qubit systems as compared to the state-of-the-art increment-decrement approach. Furthermore, for the engineering excellence of our proposed approach, we implement DTQW in any finite-dimensional quantum system with akin efficiency. To ensure an efficient implementation of quantum walks without requiring ancilla, we have incorporated an intermediate qudit technique for decomposing multi-qubit gates. Experimental outcomes hold significance far beyond the realm of just a few time steps, laying the groundwork for dependable implementation and utilization on quantum computers.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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