Quantum-to-Classical Neural Network Transfer Learning Applied to Drug Toxicity Prediction

AM Smaldone, VS Batista - Journal of Chemical Theory and …, 2024 - ACS Publications
Toxicity is a roadblock that prevents an inordinate number of drugs from being used in
potentially life-saving applications. Deep learning provides a promising solution to finding …

Exploring unsupervised anomaly detection with quantum boltzmann machines in fraud detection

J Stein, D Schuman, M Benkard, T Holger… - arxiv preprint arxiv …, 2023 - arxiv.org
Anomaly detection in Endpoint Detection and Response (EDR) is a critical task in
cybersecurity programs of large companies. With rapidly growing amounts of data and the …

On the Transfer of Knowledge in Quantum Algorithms

E Villar-Rodriguez, E Osaba, I Oregi… - arxiv preprint arxiv …, 2025 - arxiv.org
The field of quantum computing is generating significant anticipation within the scientific and
industrial communities due to its potential to revolutionize computing paradigms …

Enhancing Automobile Motion Planning Algorithms using Quantum Computing: A Systematic Review

M Ramasamy, B Jegan… - 2024 10th …, 2024 - ieeexplore.ieee.org
The emergence of autonomous vehicles has highlighted the need for advanced motion
planning algorithms capable of navigating diverse weather conditions efficiently and safely …

[PDF][PDF] 1Central Research Laboratory, BEL

R Tripathi, S Tomar, S Kumar - 2025 - researchgate.net
Quantum annealing has emerged as a transformative approach in solving combinatorial
optimization problems by leveraging the principles of quantum mechanics. A comprehensive …

A Comprehensive Survey on Quantum Annealing: Applications, Challenges, and Future Research Directions

R Tripathi, S Tomar, S Kumar - techrxiv.org
Quantum annealing has emerged as a transformative approach in solving combinatorial
optimization problems by leveraging the principles of quantum mechanics. A comprehensive …