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Open Quantum Systems Applied to Quantum Computation

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Quantum Information".

Deadline for manuscript submissions: 31 December 2026 | Viewed by 822

Special Issue Editors


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Guest Editor
Departamento de Física, Universidade Federal de Pernambuco, Recife 50670-901, PE, Brazil
Interests: quantum optics and quantum information; quantum communication; quantum information theory; open quantum systems; quantum computation; dissipative quantum computation; open quantum walk models

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Guest Editor
School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch 7600, South Africa
Interests: open quantum systems; quantum information

Special Issue Information

Dear Colleagues,

Open Quantum Systems (OQSs), which are quantum systems interacting with their environment, are increasingly being explored to enhance quantum algorithms. Recent studies show that, beyond being efficiently simulated on quantum devices, their unique properties—such as noise and dissipation—can actually be harnessed to improve algorithm performance and enable new applications.

In this context, new quantum algorithms have been specifically developed to simulate OQS dynamics, covering both Markovian and non-Markovian processes. These algorithms employ variational methods, path integrals, and unitary decompositions to efficiently model open system behavior on quantum hardware, often achieving significant resource savings compared to classical approaches. Variational and low-rank algorithms allow OQS simulations with fewer qubits and shallower circuits, making them particularly suitable for near-term quantum devices (NISQ era). Additionally, advances in quantum control of OQS have led to the development of algorithms that are more robust to noise and imperfections, outperforming traditional methods designed for closed systems and paving the way for practical quantum-enhanced technologies.

In this Special Issue, we intend to explore open quantum systems applied to quantum computation. The idea is to explore different perspectives: First, to investigate noise and dissipation for quantum algorithms, especially in certain quantum machine learning algorithms. Second, to propose OQS-based algorithms for realistic problems in chemistry, biology, and materials science, where environmental interactions are unavoidable and often essential to the phenomena under investigation. Finally, we expect to see manuscripts exploring quantum dissipative models, like open quantum walk models, quantum dissipative computation, tensor networks and hierarchical equations of motion.

Prof. Dr. Nadja Bernardes
Prof. Dr. Francesco Petruccione
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • open quantum systems
  • quantum simulation
  • variational quantum methods
  • quantum algorithms
  • dissipative quantum computation
  • open quantum walk

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Published Papers (1 paper)

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Research

14 pages, 367 KB  
Article
Dissipative Realization of a Quantum Distance-Based Classifier Using Open Quantum Walks
by Pedro Linck Maciel, Graeme Pleasance, Francesco Petruccione and Nadja K. Bernardes
Entropy 2026, 28(2), 239; https://doi.org/10.3390/e28020239 - 19 Feb 2026
Viewed by 448
Abstract
Open quantum walks (OQWs) constitute a class of quantum walks whose dynamics are entirely driven by interactions with the environment. It is well known that OQWs provide a general framework for implementing dissipative quantum computation. In this work, we demonstrate the feasibility of [...] Read more.
Open quantum walks (OQWs) constitute a class of quantum walks whose dynamics are entirely driven by interactions with the environment. It is well known that OQWs provide a general framework for implementing dissipative quantum computation. In this work, we demonstrate the feasibility of running the previously proposed quantum distance-based classifier within the open quantum walk computation model, and we show that its expected runtime remains finite even in the slower regime. Full article
(This article belongs to the Special Issue Open Quantum Systems Applied to Quantum Computation)
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