| A review of basic energy reconstruction techniques in liquid xenon and argon detectors for dark matter and neutrino physics using NEST M Szydagis, GA Block, C Farquhar, AJ Flesher, ES Kozlova, C Levy, ... Instruments 5 (1), 13, 2021 | 52 | 2021 |
| Low-rank density-matrix evolution for noisy quantum circuits YT Chen, C Farquhar, RM Parrish npj Quantum Information 7 (1), 61, 2021 | 9 | 2021 |
| Mr-inet gym: Framework for edge deployment of deep reinforcement learning on embedded software defined radio J Jagannath, K Hamedani, C Farquhar, K Ramezanpour, A Jagannath Proceedings of the 2022 ACM Workshop on Wireless Security and Machine …, 2022 | 7 | 2022 |
| Feasibility of accelerating incompressible computational fluid dynamics simulations with fault-tolerant quantum computers J Penuel, A Katabarwa, PD Johnson, C Farquhar, Y Cao, MC Garrett arXiv preprint arXiv:2406.06323, 2024 | 4 | 2024 |
| Marconi-rosenblatt framework for intelligent networks (mr-inet gym): For rapid design and implementation of distributed multi-agent reinforcement learning solutions for … C Farquhar, S Kafle, K Hamedani, A Jagannath, J Jagannath Computer Networks 222, 109489, 2023 | 4 | 2023 |
| Distributed transmission control for wireless networks using multi-agent reinforcement learning C Farquhar, PSPV Kumar, A Jagannath, J Jagannath Big Data IV: Learning, Analytics, and Applications 12097, 77-96, 2022 | 2 | 2022 |
| Reinforcement Learning for Gate Synthesis in Noisy Quantum Systems A Katabarwa, C Farquhar, H Choi, M Davis, D Englund, Y Cao, M Metcalf 2023 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2023 | | 2023 |
