Huang, Robert

Article from CaltechAUTHORS

• Huang, Jerry and Lewis, Laura, el al. (2026) Predicting Adaptively Chosen Observables in Quantum Systems; PRX Quantum; Vol. 7; No. 1; 010347; 10.1103/xhn1-vnp9
• Angrisani, Armando and Schmidhuber, Alexander, el al. (2025) Classically Estimating Observables of Noiseless Quantum Circuits; Physical Review Letters; Vol. 135; No. 17; 170602; 10.1103/lh6x-7rc3
• Liu, Zheng-Hao and Brunel, Romain, el al. (2025) Quantum learning advantage on a scalable photonic platform; Science; Vol. 389; No. 6767; 1332-1335; 10.1126/science.adv2560
• Oh, Changhun and Chen, Senrui, el al. (2024) Entanglement-Enabled Advantage for Learning a Bosonic Random Displacement Channel; Physical Review Letters; Vol. 133; No. 23; 230604; 10.1103/physrevlett.133.230604
• Chen, Senrui and Oh, Changhun, el al. (2024) Tight Bounds on Pauli Channel Learning without Entanglement; Physical Review Letters; Vol. 132; No. 18; 180805; 10.1103/physrevlett.132.180805
• Gibbs, Joe and Holmes, Zoë, el al. (2024) Dynamical simulation via quantum machine learning with provable generalization; Physical Review Research; Vol. 6; No. 1; 013241; 10.1103/physrevresearch.6.013241
• Zhan, Yongtao and Elben, Andreas, el al. (2024) Learning Conservation Laws in Unknown Quantum Dynamics; PRX Quantum; Vol. 5; No. 1; 010350; 10.1103/prxquantum.5.010350
• Huang, Hsin-Yuan and Chen, Sitan, el al. (2023) Learning to Predict Arbitrary Quantum Processes; PRX Quantum; Vol. 4; No. 4; 040337; 10.1103/prxquantum.4.040337
• Huang, Hsin-Yuan and Tong, Yu, el al. (2023) Learning Many-Body Hamiltonians with Heisenberg-Limited Scaling; Physical Review Letters; Vol. 130; No. 20; 200403; 10.1103/physrevlett.130.200403