Hsin-Yuan Huang
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Explore the profile of Hsin-Yuan Huang including associated specialties, affiliations and a list of published articles.
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20
Citations
169
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Recent Articles
1.
Oh C, Chen S, Wong Y, Zhou S, Huang H, Nielsen J, et al.
Phys Rev Lett
. 2024 Dec;
133(23):230604.
PMID: 39714674
We show that quantum entanglement can provide an exponential advantage in learning properties of a bosonic continuous-variable (CV) system. The task we consider is estimating a probabilistic mixture of displacement...
2.
Chen S, Oh C, Zhou S, Huang H, Jiang L
Phys Rev Lett
. 2024 May;
132(18):180805.
PMID: 38759184
Quantum entanglement is a crucial resource for learning properties from nature, but a precise characterization of its advantage can be challenging. In this Letter, we consider learning algorithms without entanglement...
3.
Lewis L, Huang H, Tran V, Lehner S, Kueng R, Preskill J
Nat Commun
. 2024 Feb;
15(1):1740.
PMID: 38409126
No abstract available.
4.
Chen S, Cotler J, Huang H, Li J
Nat Commun
. 2024 Feb;
15(1):1308.
PMID: 38346999
No abstract available.
5.
Chen Y, Lin I, Huang H, Liu S, Hung W, Wong K
Sci Rep
. 2024 Jan;
14(1):2458.
PMID: 38291066
Two 2,7-dicyaonfluorene-based molecules 27-DCN and 27-tDCN are utilized as acceptors (A) to combine with hexaphenylbenzene-centered donors (D) TATT and DDT-HPB for probing the exciplex formation. The photophysical characteristics reveal that...
6.
Lewis L, Huang H, Tran V, Lehner S, Kueng R, Preskill J
Nat Commun
. 2024 Jan;
15(1):895.
PMID: 38291046
Finding the ground state of a quantum many-body system is a fundamental problem in quantum physics. In this work, we give a classical machine learning (ML) algorithm for predicting ground...
7.
Cerezo M, Verdon G, Huang H, Cincio L, Coles P
Nat Comput Sci
. 2024 Jan;
2(9):567-576.
PMID: 38177473
At the intersection of machine learning and quantum computing, quantum machine learning has the potential of accelerating data analysis, especially for quantum data, with applications for quantum materials, biochemistry and...
8.
Chen S, Cotler J, Huang H, Li J
Nat Commun
. 2023 Sep;
14(1):6001.
PMID: 37752125
The recent proliferation of NISQ devices has made it imperative to understand their power. In this work, we define and study the complexity class NISQ, which encapsulates problems that can...
9.
Caro M, Huang H, Ezzell N, Gibbs J, Sornborger A, Cincio L, et al.
Nat Commun
. 2023 Jul;
14(1):3751.
PMID: 37407571
Generalization bounds are a critical tool to assess the training data requirements of Quantum Machine Learning (QML). Recent work has established guarantees for in-distribution generalization of quantum neural networks (QNNs),...
10.
Huang H, Tong Y, Fang D, Su Y
Phys Rev Lett
. 2023 Jun;
130(20):200403.
PMID: 37267566
Learning a many-body Hamiltonian from its dynamics is a fundamental problem in physics. In this Letter, we propose the first algorithm to achieve the Heisenberg limit for learning an interacting...