Resource-efficient simulations of particle scattering on a digital quantum computer

IF 9 1区 物理与天体物理 Q1 PHYSICS, APPLIED
Yahui Chai, Joe Gibbs, Vincent R. Pascuzzi, Zoë Holmes, Stefan Kühn, Francesco Tacchino, Ivano Tavernelli
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Abstract

We develop and demonstrate methods for simulating the scattering of particle wave packets in the interacting Thirring model on digital quantum computers, with hardware implementations on up to 80 qubits. We identify low-entanglement time slices of the scattering dynamics and exploit their efficient representation by tensor networks. Circuit compression based on matrix product state techniques yields on average a reduction by a factor of 3.2 in circuit depth compared to conventional approaches, allowing longer evolution times to be evaluated with higher fidelity on contemporary quantum processors. Utilizing zero-noise extrapolation in combination with Pauli twirling, on quantum hardware we accurately simulate the full scattering dynamics on 40 qubits, and further demonstrate the tensor networks compressed state preparation on 80 qubits.
数字量子计算机上粒子散射的资源效率模拟
我们开发并演示了在数字量子计算机上的相互作用Thirring模型中模拟粒子波包散射的方法,硬件实现高达80个量子位。我们确定了散射动力学的低纠缠时间片,并利用张量网络有效地表示它们。与传统方法相比,基于矩阵积态技术的电路压缩平均减少了3.2倍的电路深度,允许在当代量子处理器上以更高的保真度评估更长的进化时间。利用零噪声外推和泡利旋转,在量子硬件上精确模拟了40个量子位元上的全散射动力学,并进一步演示了在80个量子位元上的张量网络压缩状态制备。
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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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