Collision-assisted information scrambling on a configurable photonic chip
Xiao-Wen Shang, Shu-Yi Liang, Guan-Ju Yan, Xin-Yang Jiang, Zi-Ming Yin, Hao Tang, Jian-Peng Dou, Ze-Kun Jiang, Yu-Quan Peng, Xian-Min Jin

TL;DR
This paper introduces a reconfigurable photonic chip platform using collision models to study quantum information scrambling and correlations in open quantum systems, with optimized measurement strategies.
Contribution
It presents a novel photonic circuit design for simulating open quantum systems and demonstrates enhanced compressed sensing for efficient quantum state reconstruction.
Findings
Tripartite mutual information depends on system-environment interactions
Reduced observables and shots improve quantum state reconstruction
Platform enables exploration of dissipation and non-Markovianity
Abstract
Quantum interference and entanglement are in the core of quantum computations. The fast spread of information in the quantum circuit helps to mitigate the circuit depth. Although the information scrambling in the closed systems has been proposed and tested in the digital circuits, how to measure the evolution of quantum correlations between systems and environments remains a delicate and open question. Here, we propose a photonic circuit to investigate the information scrambling in an open quantum system by implementing the collision model with cascaded Mach-Zehnder interferometers. We numerically simulate the photon propagation and find that the tripartite mutual information strongly depends on the system-environment and environment-environment interactions. We further reduce the number of observables and the number of shots required to reconstruct the density matrix by designing an…
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Taxonomy
TopicsNeural Networks and Reservoir Computing · Quantum Computing Algorithms and Architecture · Quantum Information and Cryptography
