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玻色子量子忆阻器的可调非马尔可夫性

Tunable Non-Markovianity for Bosonic Quantum Memristors.

作者信息

Tang Jia-Liang, Alvarado Barrios Gabriel, Solano Enrique, Albarrán-Arriagada Francisco

机构信息

International Center of Quantum Artificial Intelligence for Science and Technology (QuArtist), Physics Department, Shanghai University, Shanghai 200444, China.

Kipu Quantum, Greifswalderstrasse 226, 10405 Berlin, Germany.

出版信息

Entropy (Basel). 2023 May 6;25(5):756. doi: 10.3390/e25050756.

Abstract

We studied the tunable control of the non-Markovianity of a bosonic mode due to its coupling to a set of auxiliary qubits, both embedded in a thermal reservoir. Specifically, we considered a single cavity mode coupled to auxiliary qubits described by the Tavis-Cummings model. As a figure of merit, we define the dynamical non-Markovianity as the tendency of a system to return to its initial state, instead of evolving monotonically to its steady state. We studied how this dynamical non-Markovianity can be manipulated in terms of the qubit frequency. We found that the control of the auxiliary systems affects the cavity dynamics as an effective time-dependent decay rate. Finally, we show how this tunable time-dependent decay rate can be tuned to engineer bosonic quantum memristors, involving memory effects that are fundamental for developing neuromorphic quantum technologies.

摘要

我们研究了由于一个玻色子模式与一组辅助量子比特耦合而导致的非马尔可夫性的可调谐控制,这些量子比特都嵌入在一个热库中。具体而言,我们考虑了一个单腔模式与由塔维斯 - 卡明斯模型描述的辅助量子比特的耦合。作为一个品质因数,我们将动态非马尔可夫性定义为系统返回其初始状态的趋势,而不是单调地演化为其稳态。我们研究了如何根据量子比特频率来操纵这种动态非马尔可夫性。我们发现辅助系统的控制作为一个有效的时间相关衰减率影响腔动力学。最后,我们展示了如何调整这个可调谐的时间相关衰减率来设计玻色子量子忆阻器,其中涉及对于开发神经形态量子技术至关重要的记忆效应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3599/10217397/950737cf2c26/entropy-25-00756-g001.jpg

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