Below are some of the many papers released by the Quantum Technical Working Groups.
Basu, S., Born, J., Bose, A., et al. Towards quantum-enabled cell-centric therapeutics (2023). https://doi.org/10.48550/arXiv.2307.05734
Doga, H., Bose, A., Sahin, M.E., et al. How can quantum computing be applied in clinical trial design and optimization? Trends in Pharmacological Sciences 45 (2024). https://doi.org/10.1016/j.tips.2024.08.005
Flöther, F.F., Blankenberg, D., Demidik, M., et al. How quantum computing can enhance biomarker discovery. Patterns (2025). https://doi.org/10.1016/j.patter.2025.101236
Demidik, M., Utro, F., Galda, A., et al. Quantum machine learning framework for longitudinal biomedical studies (2025). https://arxiv.org/abs/2504.18392
Rhrissorrakra, K., Hamilton, K.E., Bangalore Parthasarathy, P., et al. Quantum Ensembling Methods for Healthcare and Life Science (2025). https://arxiv.org/pdf/2506.02213
Dubovitskii, V., Bose, A., Utrop, F., et al. On Quantum Random Walks in Biomolecular Networks (2025). https://arxiv.org/abs/2506.06514
Di Meglio, A., Jansen, K., Tavernelli, I., et al. Quantum Computing for High-Energy Physics: State of the Art and Challenges. PRX Quantum 5 (2024). https://link.aps.org/doi/10.1103/PRXQuantum.5.037001
Chai, Y., Crippa, A., Jansen, K., et al. Fermionic wave packet scattering: a quantum computing approach. Quantum 9, 1638 (2025). https://doi.org/10.22331/q-2025-02-19-1638
Alexeev, Y., Amsler, M., Barroca, M.A., et al. Quantum-centric supercomputing for materials science: A perspective on challenges and future directions, Future Generation Computer Systems, Volume 160, 2024, Pages 666-710, ISSN 0167-739X, https://doi.org/10.1016/j.future.2024.04.060
Kim, S., Pascuzzi, V., Xu, Z., et al. Distributed Quantum Approximate Optimization Algorithm on a Quantum-Centric Supercomputing Architecture (2025). https://arxiv.org/pdf/2407.20212
Switzer, E.D., Robertson, N., Keenan, N., et al. Realization of Two-dimensional Discrete Time Crystals with Anisotropic Heisenberg Coupling (2025). https://arxiv.org/pdf/2501.18036
Abbas, A., Ambainis, A., Augustino, B. et al. Challenges and opportunities in quantum optimization. Nat Rev Phys 6, 718–735 (2024). https://doi.org/10.1038/s42254-024-00770-9
Barron, S.V., Egger, D.J., Pelofske, E. et al. Provable bounds for noise-free expectation values computed from noisy samples. Nat Comput Sci 4, 865–875 (2024). https://doi.org/10.1038/s43588-024-00709-1
Kotil, A., Pelofske, E., Riedmüller, S. et al. Quantum Approximate Multi-Objective Optimization (2025). https://arxiv.org/abs/2503.22797
Koch, T. Bernal Neira, D., Chen, Y., et al. Quantum Optimization Benchmark Library The Intractable Decathlon (2025). https://arxiv.org/pdf/2504.03832