Hsin-Yuan Huang

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 46

Top Topics

Hierarchically Organized

Distortion Correction

Top Venues

Publications

Thomas Schuster, Jonas Haferkamp, Hsin-Yuan Huang
Random unitaries in extremely low depth. CoRR (2024)
Hsin-Yuan Huang, Yunchao Liu, Michael Broughton, Isaac Kim, Anurag Anshu, Zeph Landau, Jarrod R. McClean
Learning shallow quantum circuits. CoRR (2024)
Chi-Fang Chen, Hsin-Yuan Huang, John Preskill, Leo Zhou
Local Minima in Quantum Systems. STOC (2024)
Hsin-Yuan Huang, Yunchao Liu, Michael Broughton, Isaac Kim, Anurag Anshu, Zeph Landau, Jarrod R. McClean
Learning Shallow Quantum Circuits. STOC (2024)
Hsin-Yuan Huang, John Preskill, Mehdi Soleimanifar
Certifying almost all quantum states with few single-qubit measurements. CoRR (2024)
Senrui Chen, Changhun Oh, Sisi Zhou, Hsin-Yuan Huang, Liang Jiang
Tight bounds on Pauli channel learning without entanglement. CoRR (2023)
Amira Abbas, Robbie King, Hsin-Yuan Huang, William J. Huggins, Ramis Movassagh, Dar Gilboa, Jarrod R. McClean
On quantum backpropagation, information reuse, and cheating measurement collapse. NeurIPS (2023)
Amira Abbas, Robbie King, Hsin-Yuan Huang, William J. Huggins, Ramis Movassagh, Dar Gilboa, Jarrod R. McClean
On quantum backpropagation, information reuse, and cheating measurement collapse. CoRR (2023)
Chi-Fang Chen, Hsin-Yuan Huang, John Preskill, Leo Zhou
Local minima in quantum systems. CoRR (2023)
Marco Cerezo, Guillaume Verdon, Hsin-Yuan Huang, Lukasz Cincio, Patrick J. Coles
Challenges and Opportunities in Quantum Machine Learning. CoRR (2023)
Laura Lewis, Hsin-Yuan Huang, Viet T. Tran, Sebastian Lehner, Richard Kueng, John Preskill
Improved machine learning algorithm for predicting ground state properties. CoRR (2023)
Haimeng Zhao, Laura Lewis, Ishaan Kannan, Yihui Quek, Hsin-Yuan Huang, Matthias C. Caro
Learning quantum states and unitaries of bounded gate complexity. CoRR (2023)
Sofiène Jerbi, Joe Gibbs, Manuel S. Rudolph, Matthias C. Caro, Patrick J. Coles, Hsin-Yuan Huang, Zoë Holmes
The power and limitations of learning quantum dynamics incoherently. CoRR (2023)
Hsin-Yuan Huang, Yu Tong, Di Fang, Yuan Su
Learning many-body Hamiltonians with Heisenberg-limited scaling. CoRR (2022)
Hsin-Yuan Huang, Steven T. Flammia, John Preskill
Foundations for learning from noisy quantum experiments. CoRR (2022)
Sitan Chen, Jordan Cotler, Hsin-Yuan Huang, Jerry Li
The Complexity of NISQ. CoRR (2022)
Marco Cerezo, Guillaume Verdon, Hsin-Yuan Huang, Lukasz Cincio, Patrick J. Coles
Challenges and opportunities in quantum machine learning. Nat. Comput. Sci. 2 (9) (2022)
Matthias C. Caro, Hsin-Yuan Huang, Nicholas Ezzell, Joe Gibbs, Andrew T. Sornborger, Lukasz Cincio, Patrick J. Coles, Zoë Holmes
Out-of-distribution generalization for learning quantum dynamics. CoRR (2022)
Hsin-Yuan Huang, Sitan Chen, John Preskill
Learning to predict arbitrary quantum processes. CoRR (2022)
Sitan Chen, Jordan Cotler, Hsin-Yuan Huang, Jerry Li
Exponential Separations Between Learning With and Without Quantum Memory. FOCS (2022)
Joe Gibbs, Zoë Holmes, Matthias C. Caro, Nicholas Ezzell, Hsin-Yuan Huang, Lukasz Cincio, Andrew T. Sornborger, Patrick J. Coles
Dynamical simulation via quantum machine learning with provable generalization. CoRR (2022)
Katherine Van Kirk, Jordan Cotler, Hsin-Yuan Huang, Mikhail D. Lukin
Hardware-efficient learning of quantum many-body states. CoRR (2022)
Sitan Chen, Jordan Cotler, Hsin-Yuan Huang, Jerry Li
Exponential separations between learning with and without quantum memory. CoRR (2021)
Matthias C. Caro, Hsin-Yuan Huang, M. Cerezo, Kunal Sharma, Andrew T. Sornborger, Lukasz Cincio, Patrick J. Coles
Generalization in quantum machine learning from few training data. CoRR (2021)
Yuan Su, Hsin-Yuan Huang, Earl T. Campbell
Nearly tight Trotterization of interacting electrons. Quantum 5 (2021)
Hsin-Yuan Huang, Richard Kueng, John Preskill
Information-theoretic bounds on quantum advantage in machine learning. CoRR (2021)
Sitan Chen, Jordan Cotler, Hsin-Yuan Huang, Jerry Li
Exponential Separations Between Learning With and Without Quantum Memory. FOCS (2021)
Jordan Cotler, Hsin-Yuan Huang, Jarrod R. McClean
Revisiting dequantization and quantum advantage in learning tasks. CoRR (2021)
Hsin-Yuan Huang, Michael Broughton, Jordan Cotler, Sitan Chen, Jerry Li, Masoud Mohseni, Hartmut Neven, Ryan Babbush, Richard Kueng, John Preskill, Jarrod R. McClean
Quantum advantage in learning from experiments. CoRR (2021)
Hsin-Yuan Huang, Richard Kueng, John Preskill
Efficient estimation of Pauli observables by derandomization. CoRR (2021)
Sitan Chen, Jordan Cotler, Hsin-Yuan Huang, Jerry Li
A Hierarchy for Replica Quantum Advantage. CoRR (2021)
Hsin-Yuan Huang, Richard Kueng, Giacomo Torlai, Victor V. Albert, John Preskill
Provably efficient machine learning for quantum many-body problems. CoRR (2021)
Hsin-Yuan Huang, Richard Kueng, John Preskill
Predicting Many Properties of a Quantum System from Very Few Measurements. CoRR (2020)
Yuan Su, Hsin-Yuan Huang, Earl T. Campbell
Nearly tight Trotterization of interacting electrons. CoRR (2020)
Andreas Elben, Richard Kueng, Hsin-Yuan Huang, Rick van Bijnen, Christian Kokail, Marcello Dalmonte, Pasquale Calabrese, Barbara Kraus, John Preskill, Peter Zoller, Benoît Vermersch
Mixed-state entanglement from local randomized measurements. CoRR (2020)
Hsin-Yuan Huang, Michael Broughton, Masoud Mohseni, Ryan Babbush, Sergio Boixo, Hartmut Neven, Jarrod R. McClean
Power of data in quantum machine learning. CoRR (2020)
Hsin-Yuan Huang, Richard Kueng
Predicting Features of Quantum Systems using Classical Shadows. CoRR (2019)
Hsin-Yuan Huang, Kishor Bharti, Patrick Rebentrost
Near-term quantum algorithms for linear systems of equations. CoRR (2019)
Hsin-Yuan Huang, Eunsol Choi, Wen-tau Yih
FlowQA: Grasping Flow in History for Conversational Machine Comprehension. ICLR (Poster) (2019)
Hsin-Yuan Huang, Chenguang Zhu, Yelong Shen, Weizhu Chen
FusionNet: Fusing via Fully-aware Attention with Application to Machine Comprehension. ICLR (Poster) (2018)
Hsin-Yuan Huang, Eunsol Choi, Wen-tau Yih
FlowQA: Grasping Flow in History for Conversational Machine Comprehension. CoRR (2018)
Hsiang-Fu Yu, Hsin-Yuan Huang, Inderjit S. Dhillon, Chih-Jen Lin
A Unified Algorithm for One-Cass Structured Matrix Factorization with Side Information. AAAI (2017)
Hsin-Yuan Huang, Chenguang Zhu, Yelong Shen, Weizhu Chen
FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension. CoRR (2017)
Hsin-Yuan Huang, Shuo-Han Yeh, Che-Tsung Lin, Shang-Hong Lai
Video stabilization with distortion correction for wide-angle lens dashcam. APSIPA (2016)
Ping-Cheng Kuo, Hsin-Yuan Huang, Shang-Hong Lai
Lighting estimation from a single image containing multiple planes. MMSys (2016)
Hsin-Yuan Huang, Chih-Jen Lin
Linear and Kernel Classification: When to Use Which? SDM (2016)
Hsin-Yuan Huang, Jin-Yi Lin, Chih-Cheng Hsieh, Wen-Hsu Chang, Hann-Huei Tsai, Chin-Fong Chiu
A 9.2b 47fJ/conversion-step asynchronous SAR ADC with input range prediction DAC switching. ISCAS (2012)
Hsin-Yuan Huang, Thomas G. Robertazzi, Aurel A. Lazar
A Comparison of Information Based Deflection Strategies. Comput. Networks ISDN Syst. 27 (9) (1995)