Joel Rajakumar

Rajakumar, J., & Watson, J. (2024). Gibbs Sampling gives Quantum Advantage at Constant Temperatures with O(1)-Local Hamiltonians. ArXiv. http://doi.org/10.48550/arXiv.2408.01516 (Original work published October 2024)

Nelson, J., Rajakumar, J., Hangleiter, D., & Gullans, M. J. (2024). Polynomial-Time Classical Simulation of Noisy Circuits with Naturally Fault-Tolerant Gates. ArXiv. http://doi.org/10.48550/arXiv.2411.02535 (Original work published December 2024)

Rajakumar, J., & Watson, J. (2024). Gibbs Sampling gives Quantum Advantage at Constant Temperatures with O(1)-Local Hamiltonians. ArXiv. Retrieved from https://arxiv.org/abs/2408.01516 (Original work published August 2024)

Rajakumar, J., Golden, J., Bärtschi, A., & Eidenbenz, S. (2024). Trainability Barriers in Low-Depth QAOA Landscapes. In Proceedings of the 21st ACM International Conference on Computing Frontiers. ACM. http://doi.org/10.1145/3649153.3649204 (Original work published May 2024)