Special Issue

Quantum Technologies and Artificial Intelligence for Neuroscience Applications

Submission Deadline: November 15, 2026 (Open) Submit Now

Guest Editor

Raul Valverde, PhD

Professor, Department of Supply Chain and Business Technology Management, Concordia University, Canada

Website | E-Mail

Research Interests: Analytics in psychology and health; information systems security and risk management; project and operations management; quantum and biophotonic technologies

About This Topic

This special issue invites original research and authoritative reviews at the interface of neuroscience, quantum technologies, and artificial intelligence (AI). We seek contributions that (i) use quantum sensors/quantum devices to measure or perturb neural systems, (ii) develop or test quantum-inspired or quantum-native computational models of brain function, and/or (iii) apply modern AI to accelerate discovery in brain science, use it clinical environments (e.g. mental disorders diagnosis) or to exploit neuroscience principles to advance AI.

Rapid progress in quantum sensing (e.g., nitrogen–vacancy (NV) centers in diamond) is opening routes to high-sensitivity, room-temperature detection of weak biomagnetic fields, with credible prospects for next-generation MEG at millimeter-scale spatial resolution—a step-change for noninvasive human neurophysiology. In parallel, quantum machine learning (QML) and hybrid quantum-classical methods are maturing, with systematic reviews charting the state of algorithms and near-term utility for data-rich domains like neuroimaging and neuroinformatics. On the AI side, deep learning and related techniques are already transforming clinical and basic neuroscience (for example, in neuro-oncology pipelines spanning imaging, histopathology, and genomics), underscoring the value of robust, data-driven models in brain research and care.

We also welcome rigorous, empirically testable work on quantum models of brain function and cognition—with appropriate attention to falsifiability and biophysical plausibility—recognizing both the long-standing interest (e.g., Orch-OR) and the substantial scientific debate around such hypotheses. Submissions should clearly situate claims within contemporary critiques and experimental constraints.

Topics of Interest (non-exhaustive)

• Quantum sensing for neuroscience: NV-diamond magnetometry, atomic magnetometers, quantum-enhanced MEG/EEG; calibration, inverse methods, and artifact rejection; AI-assisted reconstruction for quantum sensors.
• Quantum technology in neural interfacing: quantum photonics/materials for stimulation and readout; device biocompatibility; in-vitro/in-vivo demonstrations.
• QML & hybrid algorithms for neurodata: quantum kernels, variational circuits, tensor-network and hybrid pipelines for fMRI/MEG/EEG, connectomics, and spike data; benchmarking against strong classical baselines.
• AI in neuroscience and neuro-medicine: deep learning for multimodal brain data, digital pathology, prognosis, mental disorders diagnosis, treatment planning; trustworthy/causal ML; model interpretation aligned to neurobiology.
• Quantum-inspired models of the brain: carefully justified quantum information-theoretic or quantum-physical frameworks for neural computation, cognition, or consciousness; proposals with clear experimental discriminants and decoherence considerations.
• Neuro-inspired AI & neuromorphic directions: brain-inspired architectures informed by new measurements (including quantum-enabled sensing); learning rules and robustness gleaned from neural systems.
• Position papers / standards: datasets, benchmarks, and reporting standards for QML-neuroscience studies; reproducibility guidelines for quantum-sensor neuroscience.

 

Manuscript Submission Information

Manuscripts should be submitted through the LIDSEN Submission System. Detailed information on manuscript preparation and submission is available in the Instructions for Authors. All submitted articles will be thoroughly refereed through a single-blind peer-review process and will be processed following the Editorial Process and Quality Control policy. Upon acceptance, the article will be immediately published in a regular issue of the journal and will be listed together on the special issue website, with a label that the article belongs to the Special Issue. LIDSEN distributes articles under the Creative Commons Attribution (CC BY 4.0) License in an open-access model. The authors own the copyright to the article, and the article can be free to access, distribute, and reuse provided that the original work is correctly cited.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). Research articles and review articles are highly invited. Authors are encouraged to send the tentative title and abstract of the planned paper to the Editorial Office (neurobiology@lidsen.com) for record. If you have any questions, please do not hesitate to contact the Editorial Office.

Welcome your submission!