Hsin-Yuan Huang

IACR Cryptol. ePrint Arch., 2024

Predicting adaptively chosen observables in quantum systems.

[BibT_eX]

[DOI]

CoRR, 2024

Predicting quantum channels over general product distributions.

[BibT_eX]

[DOI]

CoRR, 2024

Classically estimating observables of noiseless quantum circuits.

[BibT_eX]

[DOI]

Armando Angrisani

Alexander Schmidhuber

CoRR, 2024

Random unitaries in extremely low depth.

[BibT_eX]

[DOI]

Thomas Schuster

Jonas Haferkamp

CoRR, 2024

Learning Shallow Quantum Circuits.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024

Local Minima in Quantum Systems.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024

Certifying Almost All Quantum States with Few Single-Qubit Measurements.

[BibT_eX]

[DOI]

Mehdi Soleimanifar

Proceedings of the 65th IEEE Annual Symposium on Foundations of Computer Science, 2024

2023

Learning quantum states and unitaries of bounded gate complexity.

[BibT_eX]

[DOI]

CoRR, 2023

Tight bounds on Pauli channel learning without entanglement.

[BibT_eX]

[DOI]

CoRR, 2023

The power and limitations of learning quantum dynamics incoherently.

[BibT_eX]

[DOI]

CoRR, 2023

Improved machine learning algorithm for predicting ground state properties.

[BibT_eX]

[DOI]

CoRR, 2023

On quantum backpropagation, information reuse, and cheating measurement collapse.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Challenges and opportunities in quantum machine learning.

[BibT_eX]

[DOI]

Nat. Comput. Sci., 2022

Hardware-efficient learning of quantum many-body states.

[BibT_eX]

[DOI]

CoRR, 2022

Learning to predict arbitrary quantum processes.

[BibT_eX]

[DOI]

Sitan Chen

CoRR, 2022

The Complexity of NISQ.

[BibT_eX]

[DOI]

CoRR, 2022

Learning many-body Hamiltonians with Heisenberg-limited scaling.

[BibT_eX]

[DOI]

CoRR, 2022

Foundations for learning from noisy quantum experiments.

[BibT_eX]

[DOI]

Steven T. Flammia

CoRR, 2022

Dynamical simulation via quantum machine learning with provable generalization.

[BibT_eX]

[DOI]

CoRR, 2022

Out-of-distribution generalization for learning quantum dynamics.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Nearly tight Trotterization of interacting electrons.

[BibT_eX]

[DOI]

Yuan Su

Earl T. Campbell

Quantum, 2021

Revisiting dequantization and quantum advantage in learning tasks.

[BibT_eX]

[DOI]

Jordan Cotler

Jarrod R. McClean

CoRR, 2021

Quantum advantage in learning from experiments.

[BibT_eX]

[DOI]

CoRR, 2021

A Hierarchy for Replica Quantum Advantage.

[BibT_eX]

[DOI]

CoRR, 2021

Generalization in quantum machine learning from few training data.

[BibT_eX]

[DOI]

CoRR, 2021

Provably efficient machine learning for quantum many-body problems.

[BibT_eX]

[DOI]

CoRR, 2021

Efficient estimation of Pauli observables by derandomization.

[BibT_eX]

[DOI]

CoRR, 2021

Information-theoretic bounds on quantum advantage in machine learning.

[BibT_eX]

[DOI]

CoRR, 2021

Exponential Separations Between Learning With and Without Quantum Memory.

[BibT_eX]

[DOI]

Proceedings of the 62nd IEEE Annual Symposium on Foundations of Computer Science, 2021

2020

Power of data in quantum machine learning.

[BibT_eX]

[DOI]

CoRR, 2020

Mixed-state entanglement from local randomized measurements.

[BibT_eX]

[DOI]

CoRR, 2020

Predicting Many Properties of a Quantum System from Very Few Measurements.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Near-term quantum algorithms for linear systems of equations.

[BibT_eX]

[DOI]

Kishor Bharti

Patrick Rebentrost

CoRR, 2019

Predicting Features of Quantum Systems using Classical Shadows.

[BibT_eX]

[DOI]

CoRR, 2019

FlowQA: Grasping Flow in History for Conversational Machine Comprehension.

[BibT_eX]

[DOI]

Eunsol Choi

Wen-tau Yih

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

FusionNet: Fusing via Fully-aware Attention with Application to Machine Comprehension.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

A Unified Algorithm for One-Cass Structured Matrix Factorization with Side Information.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Linear and Kernel Classification: When to Use Which?

[BibT_eX]

[DOI]

Chih-Jen Lin

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Lighting estimation from a single image containing multiple planes.

[BibT_eX]

[DOI]

Ping-Cheng Kuo

Shang-Hong Lai

Proceedings of the 7th International Conference on Multimedia Systems, 2016

Video stabilization with distortion correction for wide-angle lens dashcam.

[BibT_eX]

[DOI]

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2016

2012

A 9.2b 47fJ/conversion-step asynchronous SAR ADC with input range prediction DAC switching.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012

1995

A Comparison of Information Based Deflection Strategies.

[BibT_eX]

[DOI]