Topic Editors


Topological, Quantum, and Molecular Information Approaches to Computation and Intelligence
.jpg)
Topic Information
Dear Colleagues,
This Topic explores the interplay between topological, quantum, and molecular information structures, and their roles in shaping intelligent computation across both artificial and biological systems. We welcome pioneering theoretical and experimental contributions that draw upon topological quantum computing, braid groups, modular tensor categories, and molecular regulatory mechanisms—including those based on DNA, RNA, and miRNA—to propose novel frameworks for learning, inference, decision-making, and biologically inspired computation.
We also encourage submissions that investigate fundamental physical or algebraic architectures of cognition and natural intelligence, especially those grounded in quantum symmetries, non-Abelian computation, and topological robustness.
The goal is to foster collaboration across quantum physics, mathematics, artificial intelligence, molecular biology, and information theory, with an emphasis on frameworks that integrate logic, structure, and evolution into new paradigms of computation.
Topics (non‑exhaustive)
- Anyon-based topological quantum computing (e.g., SU(2)_k, Fibonacci anyons)
- Modular tensor categories and braid group representations in computation
- Quantum neural networks and variational quantum learning
- Quantum-inspired AI: cognition, decision theory, and hybrid architectures
- SL(2,C) symmetries and topological operations in learning models
- Algebraic and topological modeling of DNA, RNA, and miRNA dynamics
- Quantum and classical logic in gene regulation and molecular computation
- Category-theoretic modeling of biological information networks
- Quantum/molecular models of consciousness (e.g., with microtubules, anyon cognition)
- Topological invariants and non-locality in cognitive architectures
Dr. Michel Planat
Prof. Dr. Edward A. Rietman
Topic Editors
Keywords
- topological quantum computing
- modular tensor categories
- quantum artificial intelligence
- quantum cognition
- braid groups and anyons
- group representations and SL(2,C) symmetry
- category theory in computation
- hybrid quantum–classical systems
- molecular information systems
- natural computation and intelligence
Participating Journals
Journal Name | Impact Factor | CiteScore | Launched Year | First Decision (median) | APC | |
---|---|---|---|---|---|---|
![]()
Entropy
|
2.0 | 5.2 | 1999 | 21.8 Days | CHF 2600 | Submit |
![]()
International Journal of Molecular Sciences
|
4.9 | 9.0 | 2000 | 20.5 Days | CHF 2900 | Submit |
![]()
International Journal of Topology
|
- | - | 2024 | 15.0 days * | CHF 1000 | Submit |
![]()
Machine Learning and Knowledge Extraction
|
6.0 | 9.9 | 2019 | 25.5 Days | CHF 1800 | Submit |
![]()
Mathematics
|
2.2 | 4.6 | 2013 | 18.4 Days | CHF 2600 | Submit |
![]()
Quantum Reports
|
1.3 | 3.0 | 2019 | 18.5 Days | CHF 1400 | Submit |
![]()
Symmetry
|
2.2 | 5.3 | 2009 | 17.1 Days | CHF 2400 | Submit |
* Median value for all MDPI journals in the first half of 2025.
Preprints.org is a multidisciplinary platform offering a preprint service designed to facilitate the early sharing of your research. It supports and empowers your research journey from the very beginning.
MDPI Topics is collaborating with Preprints.org and has established a direct connection between MDPI journals and the platform. Authors are encouraged to take advantage of this opportunity by posting their preprints at Preprints.org prior to publication:
- Share your research immediately: disseminate your ideas prior to publication and establish priority for your work.
- Safeguard your intellectual contribution: Protect your ideas with a time-stamped preprint that serves as proof of your research timeline.
- Boost visibility and impact: Increase the reach and influence of your research by making it accessible to a global audience.
- Gain early feedback: Receive valuable input and insights from peers before submitting to a journal.
- Ensure broad indexing: Web of Science (Preprint Citation Index), Google Scholar, Crossref, SHARE, PrePubMed, Scilit and Europe PMC.