
Provably efficient machine learning for quantum manybody problems
Classical machine learning (ML) provides a potentially powerful approach...
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Efficient estimation of Pauli observables by derandomization
We consider the problem of jointly estimating expectation values of many...
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Informationtheoretic bounds on quantum advantage in machine learning
We study the complexity of training classical and quantum machine learni...
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Nearly tight Trotterization of interacting electrons
We consider simulating quantum systems on digital quantum computers. We ...
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Power of data in quantum machine learning
The use of quantum computing for machine learning is among the most exci...
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Mixedstate entanglement from local randomized measurements
We propose a method for detecting bipartite entanglement in a manybody ...
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Predicting Many Properties of a Quantum System from Very Few Measurements
Predicting properties of complex, largescale quantum systems is essenti...
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Nearterm quantum algorithms for linear systems of equations
Solving linear systems of equations is an essential component in science...
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Predicting Features of Quantum Systems using Classical Shadows
Predicting features of complex, largescale quantum systems is essential...
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FlowQA: Grasping Flow in History for Conversational Machine Comprehension
Conversational machine comprehension requires a deep understanding of th...
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FusionNet: Fusing via FullyAware Attention with Application to Machine Comprehension
This paper introduces a new neural structure called FusionNet, which ext...
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HsinYuan Huang
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