QUDA:量子分布式加法器算法

IF 5.6 2区 物理与天体物理 Q1 OPTICS
Sorana-Aurelia Catrina, Raj Alexandru Guţoiu, Andrei Tănăsescu, Pantelimon George Popescu
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引用次数: 0

摘要

虽然许多经典算法和量子算法都需要加法器,但目前的单量子计算机实现无法处理实际应用中所需的大量子位计数。实现分布式方法是目前唯一的解决方案,但它带来了通信延迟的挑战。本文介绍了一种量子分布式加法器算法(QUDA),作为许多需要大量子位计数的应用的解决方案。与现有的解决方案相比,QUDA为两个数字的加法提供了对数数量的量子数据传输实例,现有的解决方案通常要么基于具有线性传输轮数的纹波进位加法器,要么试图分配现有的单片电路,而不将其技术专门用于加法器。我们包括实现细节和使用的测试方法,展示了所提出算法的正确性和效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
QUDA: quantum distributed adder algorithm

While adders are required for many classical and quantum algorithms, nowadays’ single quantum computer implementations cannot handle the large qubit counts required in practical applications. Implementing a distributed approach is currently the only solution, but it poses the challenge of communication latency. This paper introduces a quantum distributed adder algorithm (QUDA) as a solution for many applications that require large qubit counts. QUDA offers a logarithmic number of instances of quantum data transfer for the addition of two numbers in comparison with existing solutions which are generally either based on ripple carry adders with a linear number of transmission rounds or attempt to distribute an existing monolithic circuit without specializing their techniques to adders. We include implementation details and the used testing methodology, showcasing the correctness and efficiency of the proposed algorithm.

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来源期刊
EPJ Quantum Technology
EPJ Quantum Technology Physics and Astronomy-Atomic and Molecular Physics, and Optics
CiteScore
7.70
自引率
7.50%
发文量
28
审稿时长
71 days
期刊介绍: Driven by advances in technology and experimental capability, the last decade has seen the emergence of quantum technology: a new praxis for controlling the quantum world. It is now possible to engineer complex, multi-component systems that merge the once distinct fields of quantum optics and condensed matter physics. EPJ Quantum Technology covers theoretical and experimental advances in subjects including but not limited to the following: Quantum measurement, metrology and lithography Quantum complex systems, networks and cellular automata Quantum electromechanical systems Quantum optomechanical systems Quantum machines, engineering and nanorobotics Quantum control theory Quantum information, communication and computation Quantum thermodynamics Quantum metamaterials The effect of Casimir forces on micro- and nano-electromechanical systems Quantum biology Quantum sensing Hybrid quantum systems Quantum simulations.
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