Hsin-Yuan Huang

66 papers A* 9A 2C 1Journal 51Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Towards sample-optimal learning of bosonic Gaussian quantum states. CoRR Senrui Chen, Francesco Anna Mele, Marco Fanizza, Alfred Li, Zachary Mann, Hsin-Yuan Huang, Yanbei Chen, John Preskill
2025	J	`jnl`	Generative quantum advantage for classical and quantum problems. CoRR Hsin-Yuan Huang, Michael Broughton, Norhan Eassa, Hartmut Neven, Ryan Babbush, Jarrod R. McClean
2025	J	`jnl`	Hardness of recognizing phases of matter. CoRR Thomas Schuster, Dominik S. Kufel, Norman Y. Yao, Hsin-Yuan Huang
2025	A*	`conf`	How to Construct Random Unitaries. STOC Fermi Ma, Hsin-Yuan Huang
2025	A*	`conf`	Learning shallow quantum circuits with many-qubit gates. COLT Francisco Vasconcelos, Hsin-Yuan Huang
2025	A*	`conf`	Predicting quantum channels over general product distributions. COLT Sitan Chen, Jaume de Dios Pont, Jun-Ting Hsieh, Hsin-Yuan Huang, Jane Lange, Jerry Li
2025	J	`jnl`	Quantum Probe Tomography. CoRR Sitan Chen, Jordan Cotler, Hsin-Yuan Huang
2025	J	`jnl`	Random unitaries from Hamiltonian dynamics. CoRR Laura Cui, Thomas Schuster, Liang Mao, Hsin-Yuan Huang, Fernando Brandao
2025	J	`jnl`	Random unitaries that conserve energy. CoRR Liang Mao, Laura Cui, Thomas Schuster, Hsin-Yuan Huang
2025	J	`jnl`	Strong random unitaries and fast scrambling. CoRR Thomas Schuster, Fermi Ma, Alex Lombardi, Fernando Brandao, Hsin-Yuan Huang
2025	J	`jnl`	The Future of Artificial Intelligence and the Mathematical and Physical Sciences (AI+MPS). CoRR Andrew Ferguson, Marisa Lafleur, Lars Ruthotto, Jesse Thaler, Yuan-Sen Ting, Pratyush Tiwary, Soledad Villar, E. Paulo Alves, Jeremy Avigad, Simon Billinge, Camille L. Bilodeau, Keith Brown, Emmanuel J. Candès, Arghya Chattopadhyay, Bingqing Cheng, Jonathan Clausen, Connor W. Coley, Andrew J. Connolly, Fred Daum, Sijia S. Dong, Chrisy Xiyu Du, Cora Dvorkin, Cristiano Fanelli, Eric B. Ford, Luis Manuel Frutos, Nicolás García Trillos, Cecilia Garraffo, Robert Ghrist, Rafael Gómez-Bombarelli, Gianluca Guadagni, Sreelekha Guggilam, Sergei Gukov, Juan B. Gutierrez, Salman Habib, Johannes Hachmann, Boris Hanin, Philip C. Harris, Murray Holland, Elizabeth Holm, Hsin-Yuan Huang, Shih-Chieh Hsu, Nick Jackson, Olexandr Isayev, Heng Ji, Aggelos K. Katsaggelos, Jeremy Kepner, Yannis G. Kevrekidis, Michelle P. Kuchera, J. Nathan Kutz, Branislava Lalic, Ann Lee, Matt LeBlanc, Josiah Lim, Rebecca Lindsey, Yongmin Liu, Peter Y. Lu, Sudhir Malik, Vuk Mandic, Vidya B. Manian, Emeka P. Mazi, Pankaj Mehta, Peter Melchior, Brice Ménard, Jennifer Ngadiuba, Stella Offner, Elsa Olivetti, Shyue Ping Ong, Christopher Rackauckas, Philippe Rigollet, Chad Risko, Philip Romero, Grant M. Rotskoff, Brett Savoie, Uros Seljak, David Shih, Gary Shiu, Dima Shlyakhtenko, Eva Silverstein, Taylor Sparks, Thomas Strohmer, Christopher Stubbs, Stephen Thomas, Suriyanarayanan Vaikuntanathan, René Vidal, Francisco Villaescusa-Navarro, Gregory Voth, Benjamin Wandelt, Rachel Ward, Melanie Weber, Risa Wechsler, Stephen Whitelam, Olaf Wiest, Mike Williams, Zhuoran Yang, Yaroslava G. Yingling, Bin Yu, Shuwen Yue, Ann Zabludoff, Huimin Zhao, Tong Zhang
2025	J	`jnl`	The vast world of quantum advantage. CoRR Hsin-Yuan Huang, Soonwon Choi, Jarrod R. McClean, John Preskill
2025	J	`jnl`	Unitary designs in nearly optimal depth. CoRR Laura Cui, Thomas Schuster, Fernando Brandao, Hsin-Yuan Huang
2024	A*	`conf`	Certifying Almost All Quantum States with Few Single-Qubit Measurements. FOCS Hsin-Yuan Huang, John Preskill, Mehdi Soleimanifar
2024	J	`jnl`	Certifying almost all quantum states with few single-qubit measurements. CoRR Hsin-Yuan Huang, John Preskill, Mehdi Soleimanifar
2024	J	`jnl`	Classically estimating observables of noiseless quantum circuits. CoRR Armando Angrisani, Alexander Schmidhuber, Manuel S. Rudolph, Marco Cerezo, Zoë Holmes, Hsin-Yuan Huang
2024	J	`jnl`	How to Construct Random Unitaries. CoRR Fermi Ma, Hsin-Yuan Huang
2024	J	`jnl`	How to Construct Random Unitaries. IACR Cryptol. ePrint Arch. Fermi Ma, Hsin-Yuan Huang
2024	A*	`conf`	Learning Shallow Quantum Circuits. STOC Hsin-Yuan Huang, Yunchao Liu, Michael Broughton, Isaac Kim, Anurag Anshu, Zeph Landau, Jarrod R. McClean
2024	J	`jnl`	Learning shallow quantum circuits. CoRR Hsin-Yuan Huang, Yunchao Liu, Michael Broughton, Isaac Kim, Anurag Anshu, Zeph Landau, Jarrod R. McClean
2024	A*	`conf`	Local Minima in Quantum Systems. STOC Chi-Fang Chen, Hsin-Yuan Huang, John Preskill, Leo Zhou
2024	J	`jnl`	Predicting adaptively chosen observables in quantum systems. CoRR Jerry Huang, Laura Lewis, Hsin-Yuan Huang, John Preskill
2024	J	`jnl`	Predicting quantum channels over general product distributions. CoRR Sitan Chen, Jaume de Dios Pont, Jun-Ting Hsieh, Hsin-Yuan Huang, Jane Lange, Jerry Li
2024	J	`jnl`	Random unitaries in extremely low depth. CoRR Thomas Schuster, Jonas Haferkamp, Hsin-Yuan Huang
2023	J	`jnl`	Challenges and Opportunities in Quantum Machine Learning. CoRR Marco Cerezo, Guillaume Verdon, Hsin-Yuan Huang, Lukasz Cincio, Patrick J. Coles
2023	J	`jnl`	Improved machine learning algorithm for predicting ground state properties. CoRR Laura Lewis, Hsin-Yuan Huang, Viet T. Tran, Sebastian Lehner, Richard Kueng, John Preskill
2023	J	`jnl`	Learning quantum states and unitaries of bounded gate complexity. CoRR Haimeng Zhao, Laura Lewis, Ishaan Kannan, Yihui Quek, Hsin-Yuan Huang, Matthias C. Caro
2023	J	`jnl`	Local minima in quantum systems. CoRR Chi-Fang Chen, Hsin-Yuan Huang, John Preskill, Leo Zhou
2023	A*	`conf`	On quantum backpropagation, information reuse, and cheating measurement collapse. NeurIPS Amira Abbas, Robbie King, Hsin-Yuan Huang, William J. Huggins, Ramis Movassagh, Dar Gilboa, Jarrod R. McClean
2023	J	`jnl`	On quantum backpropagation, information reuse, and cheating measurement collapse. CoRR Amira Abbas, Robbie King, Hsin-Yuan Huang, William J. Huggins, Ramis Movassagh, Dar Gilboa, Jarrod R. McClean
2023	J	`jnl`	The power and limitations of learning quantum dynamics incoherently. CoRR Sofiène Jerbi, Joe Gibbs, Manuel S. Rudolph, Matthias C. Caro, Patrick J. Coles, Hsin-Yuan Huang, Zoë Holmes
2023	J	`jnl`	Tight bounds on Pauli channel learning without entanglement. CoRR Senrui Chen, Changhun Oh, Sisi Zhou, Hsin-Yuan Huang, Liang Jiang
2022	J	`jnl`	Challenges and opportunities in quantum machine learning. Nat. Comput. Sci. Marco Cerezo, Guillaume Verdon, Hsin-Yuan Huang, Lukasz Cincio, Patrick J. Coles
2022	J	`jnl`	Dynamical simulation via quantum machine learning with provable generalization. CoRR Joe Gibbs, Zoë Holmes, Matthias C. Caro, Nicholas Ezzell, Hsin-Yuan Huang, Lukasz Cincio, Andrew T. Sornborger, Patrick J. Coles
2022	J	`jnl`	Foundations for learning from noisy quantum experiments. CoRR Hsin-Yuan Huang, Steven T. Flammia, John Preskill
2022	J	`jnl`	Hardware-efficient learning of quantum many-body states. CoRR Katherine Van Kirk, Jordan Cotler, Hsin-Yuan Huang, Mikhail D. Lukin
2022	J	`jnl`	Learning many-body Hamiltonians with Heisenberg-limited scaling. CoRR Hsin-Yuan Huang, Yu Tong, Di Fang, Yuan Su
2022	J	`jnl`	Learning to predict arbitrary quantum processes. CoRR Hsin-Yuan Huang, Sitan Chen, John Preskill
2022	J	`jnl`	Out-of-distribution generalization for learning quantum dynamics. CoRR Matthias C. Caro, Hsin-Yuan Huang, Nicholas Ezzell, Joe Gibbs, Andrew T. Sornborger, Lukasz Cincio, Patrick J. Coles, Zoë Holmes
2022	J	`jnl`	The Complexity of NISQ. CoRR Sitan Chen, Jordan Cotler, Hsin-Yuan Huang, Jerry Li
2021	J	`jnl`	A Hierarchy for Replica Quantum Advantage. CoRR Sitan Chen, Jordan Cotler, Hsin-Yuan Huang, Jerry Li
2021	J	`jnl`	Efficient estimation of Pauli observables by derandomization. CoRR Hsin-Yuan Huang, Richard Kueng, John Preskill
2021	A*	`conf`	Exponential Separations Between Learning With and Without Quantum Memory. FOCS Sitan Chen, Jordan Cotler, Hsin-Yuan Huang, Jerry Li
2021	J	`jnl`	Exponential separations between learning with and without quantum memory. CoRR Sitan Chen, Jordan Cotler, Hsin-Yuan Huang, Jerry Li
2021	J	`jnl`	Generalization in quantum machine learning from few training data. CoRR Matthias C. Caro, Hsin-Yuan Huang, Marco Cerezo, Kunal Sharma, Andrew T. Sornborger, Lukasz Cincio, Patrick J. Coles
2021	J	`jnl`	Information-theoretic bounds on quantum advantage in machine learning. CoRR Hsin-Yuan Huang, Richard Kueng, John Preskill
2021	J	`jnl`	Nearly tight Trotterization of interacting electrons. Quantum Yuan Su, Hsin-Yuan Huang, Earl T. Campbell
2021	J	`jnl`	Provably efficient machine learning for quantum many-body problems. CoRR Hsin-Yuan Huang, Richard Kueng, Giacomo Torlai, Victor V. Albert, John Preskill
2021	J	`jnl`	Quantum advantage in learning from experiments. CoRR Hsin-Yuan Huang, Michael Broughton, Jordan Cotler, Sitan Chen, Jerry Li, Masoud Mohseni, Hartmut Neven, Ryan Babbush, Richard Kueng, John Preskill, Jarrod R. McClean
2021	J	`jnl`	Revisiting dequantization and quantum advantage in learning tasks. CoRR Jordan Cotler, Hsin-Yuan Huang, Jarrod R. McClean
2020	J	`jnl`	Mixed-state entanglement from local randomized measurements. CoRR Andreas Elben, Richard Kueng, Hsin-Yuan Huang, Rick van Bijnen, Christian Kokail, Marcello Dalmonte, Pasquale Calabrese, Barbara Kraus, John Preskill, Peter Zoller, Benoît Vermersch
2020	J	`jnl`	Nearly tight Trotterization of interacting electrons. CoRR Yuan Su, Hsin-Yuan Huang, Earl T. Campbell
2020	J	`jnl`	Power of data in quantum machine learning. CoRR Hsin-Yuan Huang, Michael Broughton, Masoud Mohseni, Ryan Babbush, Sergio Boixo, Hartmut Neven, Jarrod R. McClean
2020	J	`jnl`	Predicting Many Properties of a Quantum System from Very Few Measurements. CoRR Hsin-Yuan Huang, Richard Kueng, John Preskill
2019	—	`conf`	FlowQA: Grasping Flow in History for Conversational Machine Comprehension. ICLR (Poster) Hsin-Yuan Huang, Eunsol Choi, Wen-tau Yih
2019	J	`jnl`	Near-term quantum algorithms for linear systems of equations. CoRR Hsin-Yuan Huang, Kishor Bharti, Patrick Rebentrost
2019	J	`jnl`	Predicting Features of Quantum Systems using Classical Shadows. CoRR Hsin-Yuan Huang, Richard Kueng
2018	J	`jnl`	FlowQA: Grasping Flow in History for Conversational Machine Comprehension. CoRR Hsin-Yuan Huang, Eunsol Choi, Wen-tau Yih
2018	—	`conf`	FusionNet: Fusing via Fully-aware Attention with Application to Machine Comprehension. ICLR (Poster) Hsin-Yuan Huang, Chenguang Zhu, Yelong Shen, Weizhu Chen
2017	A*	`conf`	A Unified Algorithm for One-Cass Structured Matrix Factorization with Side Information. AAAI Hsiang-Fu Yu, Hsin-Yuan Huang, Inderjit S. Dhillon, Chih-Jen Lin
2017	J	`jnl`	FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension. CoRR Hsin-Yuan Huang, Chenguang Zhu, Yelong Shen, Weizhu Chen
2016	A	`conf`	Lighting estimation from a single image containing multiple planes. MMSys Ping-Cheng Kuo, Hsin-Yuan Huang, Shang-Hong Lai
2016	A	`conf`	Linear and Kernel Classification: When to Use Which? SDM Hsin-Yuan Huang, Chih-Jen Lin
2016	—	`conf`	Video stabilization with distortion correction for wide-angle lens dashcam. APSIPA Hsin-Yuan Huang, Shuo-Han Yeh, Che-Tsung Lin, Shang-Hong Lai
2012	C	`conf`	A 9.2b 47fJ/conversion-step asynchronous SAR ADC with input range prediction DAC switching. ISCAS Hsin-Yuan Huang, Jin-Yi Lin, Chih-Cheng Hsieh, Wen-Hsu Chang, Hann-Huei Tsai, Chin-Fong Chiu
1995	J	`jnl`	A Comparison of Information Based Deflection Strategies. Comput. Networks ISDN Syst. Hsin-Yuan Huang, Thomas G. Robertazzi, Aurel A. Lazar