Ansatz-free Hamiltonian learning with Heisenberg-limited scaling

Authors: Hu, Hong-Ye, Ma, Muzhou, Gong, Weiyuan, Ye, Qi, Tong, Yu, Flammia, Steven T., Yelin, Susanne F.

Subject Terms: Quantum Physics, Computer Science - Information Theory, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2502.11900

Derandomized shallow shadows: Efficient Pauli learning with bounded-depth circuits

Authors: Van Kirk, Katherine, Kokail, Christian, Kunjummen, Jonathan, Hu, Hong-Ye, Teng, Yanting, Cain, Madelyn, Taylor, Jacob, Yelin, Susanne F., Pichler, Hannes, Lukin, Mikhail

Subject Terms: Quantum Physics, Condensed Matter - Strongly Correlated Electrons, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2412.18973

Efficiently measuring $d$-wave pairing and beyond in quantum gas microscopes

Authors: Mark, Daniel K., Hu, Hong-Ye, Kwan, Joyce, Kokail, Christian, Choi, Soonwon, Yelin, Susanne F.

Subject Terms: Condensed Matter - Quantum Gases, Condensed Matter - Strongly Correlated Electrons, Condensed Matter - Superconductivity, Quantum Physics

Access URL: http://arxiv.org/abs/2412.13186

Efficient Measurement-Driven Eigenenergy Estimation with Classical Shadows

Authors: Shen, Yizhi, Buzali, Alex, Hu, Hong-Ye, Klymko, Katherine, Camps, Daan, Yelin, Susanne F., Van Beeumen, Roel

Subject Terms: Quantum Physics

Access URL: http://arxiv.org/abs/2409.13691

Circumventing Traps in Analog Quantum Machine Learning Algorithms Through Co-Design

Authors: Bravo, Rodrigo Araiza, Ponce, Jorge Garcia, Hu, Hong-ye, Yelin, Susanne F.

Subject Terms: Quantum Physics

Access URL: http://arxiv.org/abs/2408.14697

Large-scale quantum reservoir learning with an analog quantum computer

Authors: Kornjača, Milan, Hu, Hong-Ye, Zhao, Chen, Wurtz, Jonathan, Weinberg, Phillip, Hamdan, Majd, Zhdanov, Andrii, Cantu, Sergio H., Zhou, Hengyun, Bravo, Rodrigo Araiza, Bagnall, Kevin, Basham, James I., Campo, Joseph, Choukri, Adam, DeAngelo, Robert, Frederick, Paige, Haines, David, Hammett, Julian, Hsu, Ning, Hu, Ming-Guang, Huber, Florian, Jepsen, Paul Niklas, Jia, Ningyuan, Karolyshyn, Thomas, Kwon, Minho, Long, John, Lopatin, Jonathan, Lukin, Alexander, Macrì, Tommaso, Marković, Ognjen, Martínez-Martínez, Luis A., Meng, Xianmei, Ostroumov, Evgeny, Paquette, David, Robinson, John, Rodriguez, Pedro Sales, Singh, Anshuman, Sinha, Nandan, Thoreen, Henry, Wan, Noel, Waxman-Lenz, Daniel, Wong, Tak, Wu, Kai-Hsin, Lopes, Pedro L. S., Boger, Yuval, Gemelke, Nathan, Kitagawa, Takuya, Keesling, Alexander, Gao, Xun, Bylinskii, Alexei, Yelin, Susanne F., Liu, Fangli, Wang, Sheng-Tao

Subject Terms: Quantum Physics, Condensed Matter - Disordered Systems and Neural Networks, Physics - Atomic Physics

Access URL: http://arxiv.org/abs/2407.02553

Algorithmic Fault Tolerance for Fast Quantum Computing

Authors: Zhou, Hengyun, Zhao, Chen, Cain, Madelyn, Bluvstein, Dolev, Duckering, Casey, Hu, Hong-Ye, Wang, Sheng-Tao, Kubica, Aleksander, Lukin, Mikhail D.

Subject Terms: Quantum Physics

Access URL: http://arxiv.org/abs/2406.17653

Syncopated Dynamical Decoupling for Suppressing Crosstalk in Quantum Circuits

Authors: Evert, Bram, Izquierdo, Zoe Gonzalez, Sud, James, Hu, Hong-Ye, Grabbe, Shon, Rieffel, Eleanor G., Reagor, Matthew J., Wang, Zhihui

Subject Terms: Quantum Physics

Access URL: http://arxiv.org/abs/2403.07836

Demonstration of Robust and Efficient Quantum Property Learning with Shallow Shadows

Authors: Hu, Hong-Ye, Gu, Andi, Majumder, Swarnadeep, Ren, Hang, Zhang, Yipei, Wang, Derek S., You, Yi-Zhuang, Minev, Zlatko, Yelin, Susanne F., Seif, Alireza

Subject Terms: Quantum Physics, Condensed Matter - Statistical Mechanics, Computer Science - Information Theory, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2402.17911

Digital-analog quantum learning on Rydberg atom arrays

Authors: Lu, Jonathan Z., Jiao, Lucy, Wolinski, Kristina, Kornjača, Milan, Hu, Hong-Ye, Cantu, Sergio, Liu, Fangli, Yelin, Susanne F., Wang, Sheng-Tao

Subject Terms: Quantum Physics, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2401.02940

Predicting Arbitrary State Properties from Single Hamiltonian Quench Dynamics

Authors: Liu, Zhenhuan, Hao, Zihan, Hu, Hong-Ye

Subject Terms: Quantum Physics

Access URL: http://arxiv.org/abs/2311.00695

Zero and Finite Temperature Quantum Simulations Powered by Quantum Magic

Authors: Gu, Andi, Hu, Hong-Ye, Luo, Di, Patti, Taylor L., Rubin, Nicholas C., Yelin, Susanne F.

Source: Quantum 8, 1422 (2024)

Subject Terms: Quantum Physics

Access URL: http://arxiv.org/abs/2308.11616

Measurement-Induced Criticality is Tomographically Optimal

Authors: Akhtar, Ahmed A., Hu, Hong-Ye, You, Yi-Zhuang

Subject Terms: Quantum Physics, Condensed Matter - Disordered Systems and Neural Networks, Condensed Matter - Strongly Correlated Electrons

Access URL: http://arxiv.org/abs/2308.01653

Discovery of Optimal Quantum Error Correcting Codes via Reinforcement Learning

Authors: Su, Vincent Paul, Cao, ChunJun, Hu, Hong-Ye, Yanay, Yariv, Tahan, Charles, Swingle, Brian

Subject Terms: Quantum Physics, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2305.06378

Interpretable Quantum Advantage in Neural Sequence Learning

Authors: Anschuetz, Eric R., Hu, Hong-Ye, Huang, Jin-Long, Gao, Xun

Source: PRX Quantum 4, 020338 (2023)

Subject Terms: Quantum Physics

Access URL: http://arxiv.org/abs/2209.14353

Scalable and Flexible Classical Shadow Tomography with Tensor Networks

Authors: Akhtar, Ahmed A., Hu, Hong-Ye, You, Yi-Zhuang

Source: Quantum 7, 1026 (2023)

Subject Terms: Quantum Physics, Condensed Matter - Disordered Systems and Neural Networks, Condensed Matter - Statistical Mechanics

Access URL: http://arxiv.org/abs/2209.02093

Logical shadow tomography: Efficient estimation of error-mitigated observables

Authors: Hu, Hong-Ye, LaRose, Ryan, You, Yi-Zhuang, Rieffel, Eleanor, Wang, Zhihui

Subject Terms: Quantum Physics

Access URL: http://arxiv.org/abs/2203.07263

Differentiable Programming of Isometric Tensor Networks

Authors: Geng, Chenhua, Hu, Hong-Ye, Zou, Yijian

Source: Mach. Learn.: Sci. Technol. 3 015020 (2022)

Subject Terms: Quantum Physics, Condensed Matter - Strongly Correlated Electrons, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2110.03898

Classical Shadow Tomography with Locally Scrambled Quantum Dynamics

Authors: Hu, Hong-Ye, Choi, Soonwon, You, Yi-Zhuang

Subject Terms: Quantum Physics, Condensed Matter - Disordered Systems and Neural Networks, Condensed Matter - Statistical Mechanics

Access URL: http://arxiv.org/abs/2107.04817

Constructing metal sulfide-based S-scheme heterojunctions for efficient photocatalytic reaction: a mini review of recent advances

Authors: Hu, Hong-Ye ^*, Xie, Li-Jia ^*, He, Lin, Wu, Piao-Piao, Lu, Kang-Qiang, Yang, Kai, Li, Dan, Huang, Wei-Ya

Source: In Current Opinion in Chemical Engineering June 2024 44