From Majorana Fermions to Quantum Devices: The Role of Nanomaterials in the Second Quantum Era
Bibliographic record
Abstract
From Majorana Fermions to Quantum Devices: The Role of Nanomaterials in the Second Quantum Era Mehmet Keçeci ORCID: https://orcid.org/0000-0001-9937-9839 https://doi.org/10.5281/zenodo.15331067 Received: 03.05.2025 Abstract: The pace and scope of scientific and technological advancements in our era are unprecedented, with every method, technique, process, and practice evolving almost instantaneously. The most striking example of this transformation is the emergence of quantum computers. The Second Quantum Revolution, which began in the early 21st century, focuses on harnessing quantum phenomena such as superposition, entanglement, and tunneling to develop groundbreaking technologies in computation, communication, and precision measurement (Arute et al., 2019). In this context, concepts from particle physics, such as Weyl fermions and Majorana fermions, have found innovative applications in condensed matter physics, electronics, materials science, and even nanomedicine. For instance, Majorana fermions—originally predicted as elementary particles—are now explored as potential building blocks for topological quantum computers due to their non-Abelian statistics, which could enable fault-tolerant quantum computation (Lutchyn et al., 2018). Similarly, two-dimensional (2D) monolayer materials (e.g., graphene, MoS₂, WS₂) have revolutionized electronics by enabling ultra-low energy consumption and high electron mobility. Recent advances in 2D materials include their use in flexible electronics, photovoltaics, and quantum optoelectronics (Xu et al., 2020). Nanotechnology has become an indispensable tool across all scientific disciplines. In nanomedicine, nanoparticle-based drug delivery systems have enabled targeted cancer therapies, minimizing side effects while maximizing efficacy (Wang et al., 2021). Additionally, quantum dots are employed in high-resolution biomedical imaging and biosensing, offering unparalleled sensitivity. These developments underscore nanotechnology’s role not only in engineering but also in advancing life sciences. The Second Quantum Revolution will extend its impact beyond information technology, addressing global challenges in energy, healthcare, and environmental sustainability. For example, quantum simulations can model complex molecular interactions, accelerating drug discovery and materials design (Cao et al., 2019). Such research will likely catalyse a technological explosion unprecedented in human history. Keywords: DAQC, Majorana Fermions, Monolayers, Nonlocality, Nanorod, Nanostructure, Nanotechnology, Quantum Dots, Quantum Devices, Quantum Simulation, Second Quantum Revolution, Second Quantum Era, Spintronics, Topological Qubits, Weyl Semimetals.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.003 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".