Multi-Unary: a dense input encoding scheme for the quantum circuit model

IF 2.2 3区 物理与天体物理 Q1 PHYSICS, MATHEMATICAL
Diego Alonso, Pedro Sánchez, Bárbara Álvarez, Fernando Terroso-Sáenz
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引用次数: 0

Abstract

The choice of a given encoding scheme for the problem variables, represented by a set of input qubits of a quantum circuit, substantially influences its design, as well as the quantity and nature of quantum resources (qubits and gates) employed by it. Quantum programmers have access to a variety of encoding strategies, such as one-hot, binary, Gray, amplitude encoding, or Schmidt decomposition, but each of them allows encoding just a single value for each problem variable. This article introduces a novel encoding scheme based on one-hot encoding, termed Multi-Unary, which enables the representation of multiple values within the input qubits, hence the descriptor ‘dense encoding scheme.’ The application of Multi-Unary is demonstrated in the context of the graph coloring problem using Grover’s algorithm, although its applicability extends to a broader class of quantum algorithms. By increasing the informational density on the input qubits, the multi-unary encoding offers potential advantages in terms of circuit compactness and resource efficiency, while at the same time enables an output value to contain more than one solution to a problem. Given its simple implementation, it can even replace the one-hot encoding scheme.

多一元:量子电路模型的密集输入编码方案
由量子电路的一组输入量子位表示的问题变量的给定编码方案的选择,实质上影响其设计,以及它所使用的量子资源(量子位和门)的数量和性质。量子程序员可以使用多种编码策略,例如单热编码、二进制编码、灰度编码、幅度编码或施密特分解,但每种编码策略都只允许对每个问题变量编码一个值。本文介绍了一种基于单热编码的新型编码方案,称为多一元编码,它允许在输入量子位内表示多个值,因此称为描述符密集编码方案。多重一元的应用是在使用格罗弗算法的图着色问题的背景下演示的,尽管它的适用性扩展到更广泛的量子算法类别。通过增加输入量子位上的信息密度,多一元编码在电路紧凑性和资源效率方面提供了潜在的优势,同时使输出值能够包含多个问题的解决方案。由于其简单的实现,它甚至可以取代单热编码方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Quantum Information Processing
Quantum Information Processing 物理-物理:数学物理
CiteScore
4.10
自引率
20.00%
发文量
337
审稿时长
4.5 months
期刊介绍: Quantum Information Processing is a high-impact, international journal publishing cutting-edge experimental and theoretical research in all areas of Quantum Information Science. Topics of interest include quantum cryptography and communications, entanglement and discord, quantum algorithms, quantum error correction and fault tolerance, quantum computer science, quantum imaging and sensing, and experimental platforms for quantum information. Quantum Information Processing supports and inspires research by providing a comprehensive peer review process, and broadcasting high quality results in a range of formats. These include original papers, letters, broadly focused perspectives, comprehensive review articles, book reviews, and special topical issues. The journal is particularly interested in papers detailing and demonstrating quantum information protocols for cryptography, communications, computation, and sensing.
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