Quantum state design and emergent confinement mechanism in measured tensor network states

IF 9 1区 物理与天体物理 Q1 PHYSICS, APPLIED
Guglielmo Lami, Andrea De Luca, Xhek Turkeshi, Jacopo De Nardis
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引用次数: 0

Abstract

Randomness is a fundamental aspect of quantum mechanics, arising from the measurement process that collapses superpositions into definite outcomes according to Born’s rule. Generating large-scale random quantum states is crucial for quantum computing and many-body physics, yet it remains a key challenge. We present a practical method based on local measurements of random Tensor Networks, focusing on random Matrix Product States (MPS) generated by two distinct quantum circuit architectures, both feasible on near-term devices. We certify the emergent quantum randomness using the frame potential and establish a mapping between its behavior and the statistical mechanics of a domain wall particle model. In both architectures, the effect of quantum measurements induces a nontrivial confinement mechanism, where domain walls are either trapped by an external potential or bound in pairs to form meson-like excitations. Our results, supported by both exact analytical calculations and numerical simulations, suggest that confinement is a general mechanism underlying random state generation in broader settings with local measurements, including quantum circuits and chaotic dynamics.
量子态设计与被测张量网络态的紧急约束机制
随机性是量子力学的一个基本方面,它产生于根据玻恩法则将叠加坍缩成确定结果的测量过程。产生大规模随机量子态对于量子计算和多体物理至关重要,但它仍然是一个关键的挑战。我们提出了一种基于随机张量网络的局部测量的实用方法,重点关注由两种不同量子电路架构产生的随机矩阵积态(MPS),这两种结构都在近期设备上可行。我们利用框架势证明了涌现量子随机性,并建立了其行为与域壁粒子模型统计力学之间的映射关系。在这两种体系结构中,量子测量的效应诱导了一种非平凡的约束机制,其中畴壁要么被外部势捕获,要么成对结合形成介子样激发。我们的研究结果得到了精确解析计算和数值模拟的支持,表明约束是在更广泛的局部测量环境下随机状态产生的一般机制,包括量子电路和混沌动力学。
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来源期刊
npj Quantum Information
npj Quantum Information Computer Science-Computer Science (miscellaneous)
CiteScore
13.70
自引率
3.90%
发文量
130
审稿时长
29 weeks
期刊介绍: The scope of npj Quantum Information spans across all relevant disciplines, fields, approaches and levels and so considers outstanding work ranging from fundamental research to applications and technologies.
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