Being able to study the dynamics of quantum systems interacting with several environments is important in many settings ranging from quantum chemistry to quantum thermodynamics, through out-of-equilibrium systems. For such problems tensor network-based methods are state-of-the-art approaches for performing numerically exact simulations. However, to be used efficiently in this multi-environment and non-perturbative context, these methods require an optimized choice of the topology of the wave-function Ansätze. This is often done by analysing cross-correlations between different system and environment degrees of freedom. Here, we show for canonical model Hamiltonians that simple orderings of bosonic environmental modes, which enable the joint {System + Environments} state to be written as a matrix product state, considerably reduce the bond dimension required for convergence despite introducing long-ranged interactions. These results suggest that complex correlation analyses for tweaking tensor networks topology (e.g. entanglement renormalization) are usually not necessary and that tree tensor network states are sub-optimal compared to simple matrix product states in many important models of physical open systems.
Scalable simulation of non-Markovian quantum transport by stochastic-phase bath reduction
University of California, Berkeley（加州大学伯克利分校）；Flatiron Institute（平顿研究所）；Lawrence Berkeley National Laboratory（劳伦斯伯克利国家实验室）；California Institute of Technology（加州理工学院）
From Bound States to Quantum Spin Models: Chiral Coherent Dynamics in Topological Photonic Rings
Institute of Materials Science, Kiel University（基尔大学材料科学研究所）；Kiel Nano, Surface and Interface Science KiNSIS, Christian Albrechts University（克里斯蒂安·阿尔布莱希特大学基尔纳米、表面与界面科学KiNSIS）
Thermodynamic performance of a measurement-driven quantum engine with a two-parameter $(p,q)$-deformed harmonic oscillator
Khalifa University of Science and Technology（哈利法科学技术大学）；KU Research Center for Advanced Intelligent Systems (AIS), Khalifa University of Science and Technology（哈利法科学技术大学 KU 先进智能系统研究中心）
Quantum Transport in Disordered Spin Networks: Emergent Timescales and Competing Pathways
The Racah Institute of Physics, The Hebrew University of Jerusalem（耶路撒冷希伯来大学拉卡赫物理研究所）；Inst. of Applied Physics, The Hebrew University of Jerusalem（耶路撒冷希伯来大学应用物理研究所）；Vector Institute（矢量研究所）；Department of Chemistry and Centre for Quantum Information and Quantum Control, University of Toronto（多伦多大学化学系及量子信息与量子控制中心）
Physics-Informed Variational Quantum Classifier for Phase Detection in Strongly Correlated Matter
Instituto de Física Corpuscular, Universitat de València – Consejo Superior de Investigaciones Científicas（瓦伦西亚大学-西班牙国家研究委员会粒子物理研究所）；Escuela de Ciencias, Ingeniería y Diseño, Universidad Europea de Valencia（瓦伦西亚欧洲大学科学与工程设计学院）；Facultat de Física, Universitat de València（瓦伦西亚大学物理学院）
