Stefano Mensa

Daresbury Laboratory — United Kingdom

Computer Science · Physical Sciences

7h-index376citations31works8.12yr avg
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Research Topics

Quantum Computing Algorithms and Architecture(17), Quantum Information and Cryptography(13), Quantum and electron transport phenomena(6), Computational Drug Discovery Methods(3), Biochemical and Molecular Research(3)

Publications31 total

Encoding molecular structures in quantum machine learning
Machine Learning Science and Technology·2025Open Access
Boosting Sparsity in Graph Decompositions with QAOA Sampling
arXiv (Cornell University)·2025Open Access
Evolving a Multi-Population Evolutionary-QAOA on Distributed QPUs
2025
Quantum Machine Learning for Minimal Omics Datasets with Large Feature Space Using Embeddings and Feature Selection Techniques
2025
Quantum chemistry with provable convergence via randomized sample-based Krylov quantum diagonalization
arXiv (Cornell University)·2025Open Access
Approximate quantum circuit compilation for proton-transfer kinetics on quantum processors
arXiv (Cornell University)·2025Open Access
Quantum resources in resource management systems
ArXiv.org·2025Open Access
Variational preparation of normal matrix product states on quantum computers
arXiv (Cornell University)·2025· 1 citedOpen Access
Prioritizing quantum computing use cases in the drug discovery and development pipeline
Drug Discovery Today·2025· 2 cited
Boosted imaginary time evolution of matrix product states
Physical review. B./Physical review. B·2024Open Access
Challenges and opportunities in quantum optimization
Nature Reviews Physics·2024· 120 citedOpen Access
Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training
Quantum·2024· 7 citedOpen Access
Evolving a multi-population evolutionary-QAOA on distributed QPUs
arXiv (Cornell University)·2024Open Access
Boosted Imaginary Time Evolution of Matrix Product States
arXiv (Cornell University)·2024Open Access
Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training
arXiv (Cornell University)·2024Open Access
Modelling and theory of polaron trapping in glucose based bio-insulators: the cyclodextrin case.
University of Liverpool·2024Open Access
Toward Accurate Post-Born–Oppenheimer Molecular Simulations on Quantum Computers: An Adaptive Variational Eigensolver with Nuclear-Electronic Frozen Natural Orbitals
Journal of Chemical Theory and Computation·2023· 5 cited
Quantum Optimization: Potential, Challenges, and the Path Forward
2023· 60 citedOpen Access
A practitioner’s guide to quantum algorithms for optimisation problems
Journal of Physics A Mathematical and Theoretical·2023· 35 citedOpen Access
Toward Accurate Post-Born-Oppenheimer Molecular Simulations on Quantum Computers: An Adaptive Variational Eigensolver with Nuclear-Electronic Frozen Natural Orbitals
arXiv (Cornell University)·2023· 1 citedOpen Access
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Frequent Co-authors

Benjamin C. B. Symons(14), Emre Sahin(13), Ivano Tavernelli(12), Jason Crain(9), Arseny Kovyrshin(8), Anders Broo(8), Mårten Skogh(6), Lars Tornberg(6), Edoardo Altamura(5), Francesco Tacchino(4), David Galvin(4), G. Cortiana(3), Naeimeh Mohseni(3), Víctor Valls(3), Mehmet Şahin(3), Anton Nykänen(3), Aaron Miller(3), N. Walter Talarico(3), Fabijan Pavošević(3), George Pennington(3)