Simulation of Open Quantum Systems
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Quantum Information".
Deadline for manuscript submissions: 31 January 2025 | Viewed by 761
Special Issue Editors
Interests: open quantum systems; quantum information; quantum simulation; superconducting qubits; quantum thermalization; quantum collision models; Markovian master equations
Interests: quantum thermodynamics; open quantum systems; quantum optics and quantum information processing; foundations of quantum mechanics; cavity quantum optomechanics and electrodynamics
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Special Issue Information
Dear Colleagues,
Open quantum systems, which interact with their surrounding environment, play a crucial role in various areas of quantum science and technology. The importance of simulating open quantum systems is growing for the following two main reasons: first, to enhance our understanding of the fundamental physics governing these systems in complex scenarios, including, for instance, many-body open systems or structured quantum systems, such as networks of superconducting qubits; second, improving our comprehension of noise in quantum computation, which can be described as an open system of many qubits, is particularly relevant in the near-term quantum computation era with tens or hundreds of qubits.
Submissions to this issue are broadly solicited on the simulation of open quantum systems using both classical and quantum methods. Quantum methods of interest include (but are not restricted to) collision models, trotterization of quantum dynamics, imaginary time evolution, and variational algorithms. Classical methods encompass the brute-force computation of system dynamics, semi-analytical approaches to simplify and solve master equations classically, and the application of classical machine learning techniques to solve quantum dynamics.
While our focus is predominantly on Markovian dynamics due to its widespread use and simplicity, manuscripts addressing the simulation of non-Markovian open systems are also welcome. This collection aims to advance the field by showcasing innovative techniques and methodologies for simulating the dynamics of open quantum systems.
Dr. Marco Cattaneo
Prof. Dr. Mauro Paternostro
Guest Editors
Manuscript Submission Information
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Keywords
- quantum simulation
- open quantum systems
- collision models
- variational quantum methods
- Markovian quantum dynamics
- quantum algorithms
- classical simulation of quantum systems
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Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
1.
Title: Machine learning techniques for modeling quantum dynamics
Authors: Andrea Delgado, Maria Gabriela Boada and Jose Morales
Affiliations: Oak Ridge National Laboratory, University of Texas at San Antonio
Abstract: In this manuscript, we investigate the modeling of open quantum systems using a variety of machine learning techniques, with the primary goal of understanding the limitations and benefits of different models in predicting complex quantum dynamics. We focus on enhancing the predictive performance of neural networks (NNs) trained with partial quantum state information, addressing practical challenges where complete quantum state tomography is not feasible. We further explore alternative models, such as attention-based mechanisms and hybrid architectures, to assess their accuracy and efficiency in capturing non-Markovian behavior. Our results demonstrate the relative strengths and weaknesses of these approaches, offering valuable insights into their applicability for different types of quantum dynamics and setting a foundation for future research in machine learning.
2.
Prof. Jonas Ola Oscar Larson (Stockholm University)
