Temporal information processing with an integrated laser neuron HT Peng, G Angelatos, TF de Lima, MA Nahmias, AN Tait, S Abbaslou, ... IEEE Journal of Selected Topics in Quantum Electronics 26 (1), 1-9, 2019 | 66 | 2019 |
Reservoir computing approach to quantum state measurement G Angelatos, SA Khan, HE Türeci Physical Review X 11 (4), 041062, 2021 | 28 | 2021 |
Entanglement dynamics and Mollow nonuplets between two coupled quantum dots in a nanowire photonic-crystal system G Angelatos, S Hughes Physical Review A 91 (5), 051803, 2015 | 26 | 2015 |
Physical reservoir computing using finitely-sampled quantum systems SA Khan, F Hu, G Angelatos, HE Türeci arXiv preprint arXiv:2110.13849, 2021 | 16 | 2021 |
Theory and design of quantum light sources from quantum dots embedded in semiconductor-nanowire photonic-crystal systems G Angelatos, S Hughes Physical Review B 90 (20), 205406, 2014 | 14 | 2014 |
Polariton waveguides from a quantum dot chain in a photonic crystal waveguide: an architecture for waveguide quantum electrodynamics G Angelatos, S Hughes Optica 3 (4), 370-376, 2016 | 10 | 2016 |
Tackling sampling noise in physical systems for machine learning applications: Fundamental limits and eigentasks F Hu, G Angelatos, SA Khan, M Vives, E Türeci, L Bello, GE Rowlands, ... Physical Review X 13 (4), 041020, 2023 | 7 | 2023 |
Theory and applications of light-matter interactions in quantum dot nanowire photonic crystal systems G Angelatos | 6 | 2015 |
A quantum reservoir computing approach to image classification F Hu, S Khan, G Angelatos, H Tureci APS March Meeting Abstracts 2021, V32. 001, 2021 | 3 | 2021 |
Fundamental limits to expressive capacity of finitely sampled qubit-based systems F Hu, G Angelatos, SA Khan, M Vives, E Türeci, L Bello, GE Rowlands, ... arXiv preprint arXiv:2301.00042, 2022 | 2 | 2022 |
Overcoming the Coherence Time Barrier in Quantum Machine Learning on Temporal Data F Hu, SA Khan, NT Bronn, G Angelatos, GE Rowlands, GJ Ribeill, ... arXiv preprint arXiv:2312.16165, 2023 | 1 | 2023 |
Quantum Annealing Systems as Reservoirs I: Design and Performance G Angelatos, H Tureci, F Hu, S Khan Bulletin of the American Physical Society, 2022 | 1 | 2022 |
Entanglement dynamics and multiple Mollow triplets between two coupled quantum dots in a nanowire photonic crystal system G Angelatos, S Hughes ArXiv e-prints, 2014 | 1 | 2014 |
A Practical Quantum Reservoir Computing Platform for Quantum Data Processing G Angelatos, G Ribeill, S Rakshit, M Grace, L Bello, H Tureci Bulletin of the American Physical Society, 2024 | | 2024 |
Demonstration of a Quantum Machine Learning Algorithm beyond the Coherence Time H Tureci, F Hu, S Khan, N Bronn, G Ribeill, G Angelatos, G Rowlands Bulletin of the American Physical Society, 2024 | | 2024 |
Reservoir Computing and Quantum Systems G Angelatos Princeton University, 2023 | | 2023 |
Learning in Finitely-Sampled Quantum Systems 2: Applications G Angelatos, F Hu, S Khan, M Vives, E Tureci, L Bello, G Rowlands, ... APS March Meeting Abstracts 2023, K73. 002, 2023 | | 2023 |
Learning in Finitely-Sampled Quantum Systems 1: Expressive Capacity F Hu, G Angelatos, S Khan, M Vives, E Tureci, L Bello, G Rowlands, ... APS March Meeting Abstracts 2023, K73. 001, 2023 | | 2023 |
Quantifying the Expressive Capacity of Quantum Systems: Fundamental Limits and Eigentasks F Hu, G Angelatos, SA Khan, M Vives, E Türeci, L Bello, GE Rowlands, ... arXiv preprint arXiv:2301.00042, 2022 | | 2022 |
Reservoir Computing on Current Quantum Processors M Vives, G Angelatos, F Hu, H Tureci APS March Meeting Abstracts 2022, W37. 007, 2022 | | 2022 |