Addressing the Readout Problem in Quantum Differential Equation Algorithms with Quantum Scientific Machine Learning
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Author(s):
Chelsea A. Williams, Stefano Scali, Antonio A. Gentile, Daniel Berger, Oleksandr Kyriienko
Published in:
arxiv, ISSN 2331-8422
Publisher:
arxiv
DOI:
10.48550/ARXIV.2411.14259
Quantum kernel methods for solving regression problems and differential equations
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Author(s):
Annie E. Paine, Vincent E. Elfving, Oleksandr Kyriienko
Published in:
Physical Review A, Issue 107, 2023, ISSN 2469-9926
Publisher:
American Physical Society (APS)
DOI:
10.1103/PhysRevA.107.032428
Physics-Informed Quantum Machine Learning: Solving nonlinear differential equations in latent spaces without costly grid evaluations
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Author(s):
Annie E. Paine, Vincent E. Elfving, Oleksandr Kyriienko
Published in:
Arxiv, ISSN 2331-8422
Publisher:
Arxiv
DOI:
10.48550/ARXIV.2308.01827
Beyond the Buzz: Strategic Paths for Enabling Useful NISQ Applications
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Author(s):
Pratibha Raghupati Hegde, Oleksandr Kyriienko, Hermanni Heimonen, Panagiotis Tolias, Gilbert Netzer, Panagiotis Barkoutsos, Ricardo Vinuesa, Ivy Peng, Stefano Markidis
Published in:
arxiv, ISSN 2331-8422
Publisher:
Arxiv
DOI:
10.48550/ARXIV.2405.14561