Advanced Control Methodologies for Quantum Systems
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Theory and Methodology".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 67
Special Issue Editors
Interests: control of quantum systems and the application of artificial intelligence
Interests: quantum noise protection; quantum feedback control; quantum state estimation
Interests: quantum feedback control; quantum optimal control; quantum noise mitigation
Interests: satellite and deep space telecommunications; information theory; mathematics of alphabetical texts
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Quantum theory gave mankind a new understanding of the microcosm and produced the third technological revolution. Entering the 21st century, the research and application of quantum information technologies represented by quantum computing, quantum communication, and quantum precision measurement have accelerated worldwide. At present, the world has entered the second quantum revolution, which is expected to be promoted by the progress of quantum control technologies.
This Special Issue aims to curate original research and review articles from academic and industry-relevant researchers in the fields of quantum systems control and estimation, machine learning for quantum control, and quantum machine learning. This Special Issue encourages authors to discuss and express their views on the current trends, challenges, and state-of-the-art solutions to various problems in the control of quantum systems. Both original research and review papers are welcome. Authors may also submit extended versions of their conference papers. However, such papers should make significant improvements/extensions to their conference papers, and the details of these improvements/extensions should be clearly outlined in the cover letter accompanying the paper submission.
Topics of interest include but are not limited to the following:
- Stabilization of quantum state;
- Preparation of quantum gate;
- Feedback control of quantum systems;
- Time-delay control of quantum systems;
- Robust control of quantum systems;
- Quantum machine learning;
- Reinforcement learning for quantum control;
- Quantum state estimation;
- Quantum parameter identification
Dr. Jie Wen
Dr. Sajede Harraz
Dr. Yanan Liu
Prof. Dr. Emilio Matricciani
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 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 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
- eigenstates
- entangled state
- quantum gate
- feedback control
- time-delay control
- robust control
- state estimation
- parameter identification
- quantum filter
- machine learning
- deep learning
- reinforcement learning
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.
