Advanced solutions for UK businesses
We are giving UK industry the place, space, and expertise to make informed investment decisions about their future with emerging technologies like quantum computing.
We focus on quantum computing software, exploring cutting-edge quantum computing theory, and investigating the intersection between classical high-performance computing applications and the emerging potential of quantum computing. This enables us to address practical and integration challenges to reduce the investment risk associated with emerging technologies to deliver seamless quantum-hybrid solutions to UK businesses.
Success Stories
What can I expect once I contact the Hartree Centre?
Initial enquiry
Consultation
Challenge Statement
Project Scoping
FAQs
Quantum computing follows the principles of quantum mechanics to process information. Unlike classical computing which works with bits (0,1) quantum computing uses quantum bits called qubits. These can exist in multiple states simultaneously which allows quantum computers to perform complex calculations more efficiently than classical computers.
Quantum computing has the potential to revolutionise different industries. Some practical applications include supply chain and logistics optimisation, enhancing cybersecurity through quantum encryption and accelerating material and drug discovery
To begin adopting this technology, businesses can identify problems that could be solved through quantum computing and approach an organisation like us to provide a solution. We can create the solution as well as access to the quantum hardware to implement it. We also provide training to upskill your staff in quantum computing to ensure your business can take full advantage of the technology.
Research Publications
2024
Evolving a Multi-Population Evolutionary-QAOA on Distributed QPUs
Schiavello, F., Altamura, E., Tavernelli, I., Mensa, S. and Symons, B. (2024) Evolving a Multi-Population Evolutionary-QAOA on Distributed QPUs. arXiv. https://arxiv.org/abs/2409.10739.
Keywords: Evolutionary Algorithms, Quantum Approximate Optimization Algorithm, Max-Cut problem
Boosted Imaginary Time Evolution of Matrix Product States
Symons, B., Manawadu, D., Galvin, D. and Mensa, S. (2024). Boosted Imaginary Time Evolution of Matrix Product States.arXiv. https://arxiv.org/abs/2405.04959.
Keywords: Simulation, Algorithm efficiency, Convergence, Ground state.
Sahin, M.E., Symons, B., Pati, P., Minhas, F., Millar, D., Gabrani, M., Stefano Mensa and Robertus, J.L. (2024). Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training. arXiv, [online] 8, pp.1502–1502. https://arxiv.org/abs/2401.02879
Keywords: Quantum machine learning, Kernel alignment, Sub-sampling, Kernel matrix
A. Kan and B. Symons. (2024). Resource-optimized fault-tolerant simulation of the Fermi-Hubbard model and high-temperature superconductor models. arXiv. https://arxiv.org/abs/2411.02160
Keywords: Fault-tolerance, Fermi-Hubbard model, Quantum chemistry
2023
Mensa, S., Sahin, E., Williamson, G., Allan, R. (2023). An Educational and Training Perspective on Integrating Hybrid Technologies with HPC Systems for Solving Real-World Commercial Problems. Journal of Computational Science Education. https://jocse.org/articles/14/1/6/
Keywords: Hybrid technologies, Training, Education, HPC, Digital technologies
Nonadiabetic Nuclear-Electron Dynamics: A Quantum Computing Approach
Kovyrshin, A., Skogh, M., Tornberg, L., Broo, A., Mensa, S., Sahin, E., Symons, B., Crain, J., Tavernelli, I. (2023). Nonadiabatic Nuclear–Electron Dynamics: A Quantum Computing Approach. The journal of physical chemistry letters, 14(31), pp.7065–7072. https://pubs.acs.org/doi/10.1021/acs.jpclett.3c01589
Keywords: Time evolution of molecular systems, Proton transfer dynamics, Quantum algorithm, Entanglement
Nykänen, A., Miller, A., Talarico, W., Knecht, S., Arseny Kovyrshin, Mårten Skogh, Tornberg, L., Anders Broo, Stefano Mensa, Benjamin, Sahin, E., Crain, J., Ivano Tavernelli and Fabijan Pavošević. (2023). 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, 19(24), pp.9269–9277. https://pubs.acs.org/doi/10.1021/acs.jctc.3c01091
Keywords: Nuclear quantum effects, Nuclear-electronic orbital, Born-Oppenheimer approximation
Mensa, S., Sahin, E., Tacchino, F., Kl Barkoutsos, P. and Tavernelli, I. (2023). Quantum machine learning framework for virtual screening in drug discovery: a prospective quantum advantage. Machine Learning: Science and Technology, 4(1), p.015023. https://arxiv.org/abs/2204.04017
Keywords: Ligand Based Virual Screening, Support Vector Classifier, quantum kernel, quantum advantage
Abbas, A., Ambainis, A., Augustino, B., Bärtschi, A., Buhrman, H., Coffrin, C., Cortiana, G., Dunjko, V., Egger, D.J., Elmegreen, B.G., Franco, N., Fratini, F., Fuller, B., Gacon, J., Gonciulea, C., Gribling, S., Gupta, S., Hadfield, S., Heese, R. and Kircher, G. (2023). Quantum Optimization: Potential, Challenges, and the Path Forward. arXiv. https://arxiv.org/abs/2401.02879
Keywords: Quantum optimization, Quantum algorithms, Computational complexity theory, Quantum advantage, Benchmarking
Kovyrshin, A., Skogh, M., Broo, A., Mensa, S., Sahin, E., Crain, J., Tavernelli, I. (2023). A quantum computing implementation of nuclearelectronic orbital (NEO) theory: Toward an exact pre-Born-Opennheimer formulation of molecular quantum systems. The Journal of Chemical Physics. https://pubs.aip.org/aip/jcp/article-abstract/158/21/214119/2894412/A-quantum-computing-implementation-of?redirectedFrom=fulltext
Keywords: Born-Oppenheimer approximation, Electron-nuclear quantum dynamics, Near-term quantum computers