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ResearcherID: B-4753-2009

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Works (18)

Generalization metrics for practical quantum advantage in generative models

Physical Review Applied
2024-04-17 | Journal article
DOI: 10.1103/PhysRevApplied.21.044032
Contributors: Kaitlin Gili; Marta Mauri; Alejandro Perdomo-Ortiz
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Enhancing combinatorial optimization with classical and quantum generative models

Nature Communications
2024-03-29 | Journal article
DOI: 10.1038/s41467-024-46959-5
Contributors: Javier Alcazar; Mohammad Ghazi Vakili; Can B. Kalayci; Alejandro Perdomo-Ortiz
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Decomposition of matrix product states into shallow quantum circuits

Quantum Science and Technology
2024-01-01 | Journal article
DOI: 10.1088/2058-9565/ad04e6
Contributors: Manuel S Rudolph; Jing Chen; Jacob Miller; Atithi Acharya; Alejandro Perdomo-Ortiz
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Synergistic pretraining of parametrized quantum circuits via tensor networks

Nature Communications
2023-12-15 | Journal article
DOI: 10.1038/s41467-023-43908-6
Contributors: Manuel S. Rudolph; Jacob Miller; Danial Motlagh; Jing Chen; Atithi Acharya; Alejandro Perdomo-Ortiz
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Symmetric tensor networks for generative modeling and constrained combinatorial optimization

Machine Learning: Science and Technology
2023-09-01 | Journal article
DOI: 10.1088/2632-2153/ace0f5
Contributors: Javier Lopez-Piqueres; Jing Chen; Alejandro Perdomo-Ortiz
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A Framework for Demonstrating Practical Quantum Advantage: Racing Quantum against Classical Generative Models

2023-07-26 | Preprint
DOI: 10.21203/rs.3.rs-3054054/v1
Contributors: Mohamed Hibat-Allah; Marta Mauri; Juan Carrasquilla; Alejandro Perdomo-Ortiz
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Do quantum circuit Born machines generalize?

Quantum Science and Technology
2023-07-01 | Journal article
DOI: 10.1088/2058-9565/acd578
Contributors: Kaitlin Gili; Mohamed Hibat-Allah; Marta Mauri; Chris Ballance; Alejandro Perdomo-Ortiz
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Neural network enhanced measurement efficiency for molecular groundstates

Machine Learning: Science and Technology
2023-03-01 | Journal article
DOI: 10.1088/2632-2153/acb4df
Contributors: Dmitri Iouchtchenko; Jérôme F Gonthier; Alejandro Perdomo-Ortiz; Roger G Melko
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Decomposition of Matrix Product States into Shallow Quantum Circuits

2022-11-30 | Preprint
DOI: 10.21203/rs.3.rs-2235411/v1
Contributors: Alejandro Perdomo-Ortiz; Manuel Rudolph; Jing Chen; Jacob Miller; Atithi Acharya
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Synergy Between Quantum Circuits and Tensor Networks: Short-cutting the Race to Practical Quantum Advantage

2022-10-17 | Preprint
DOI: 10.21203/rs.3.rs-2139932/v1
Contributors: Manuel Rudolph; Jacob Miller; Jing Chen; Atithi Acharya; Alejandro Perdomo-Ortiz
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GEO: Enhancing Combinatorial Optimization with Classical and Quantum Generative Models

2022-08-08 | Preprint
DOI: 10.21203/rs.3.rs-241950/v1
Contributors: Francisco Fernandez Alcazar; Alejandro Perdomo-Ortiz; Mohammad Ghazi Vakili; Can Kalayci
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Generation of High-Resolution Handwritten Digits with an Ion-Trap Quantum Computer

Physical Review X
2022-07-15 | Journal article
DOI: 10.1103/PhysRevX.12.031010
Contributors: Manuel S. Rudolph; Ntwali Bashige Toussaint; Amara Katabarwa; Sonika Johri; Borja Peropadre; Alejandro Perdomo-Ortiz
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Robust implementation of generative modeling with parametrized quantum circuits

Quantum Machine Intelligence
2021-06 | Journal article
DOI: 10.1007/s42484-021-00040-2
Contributors: Vicente Leyton-Ortega; Alejandro Perdomo-Ortiz; Oscar Perdomo
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Entanglement types for two-qubit states with real amplitudes

Quantum Information Processing
2021-03 | Journal article
DOI: 10.1007/s11128-021-03025-z
Contributors: Oscar Perdomo; Vicente Leyton-Ortega; Alejandro Perdomo-Ortiz
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Classical versus quantum models in machine learning: insights from a finance application

Machine Learning: Science and Technology
2020-07-06 | Journal article
DOI: 10.1088/2632-2153/ab9009
Contributors: Javier Alcazar; Vicente Leyton-Ortega; Alejandro Perdomo-Ortiz
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Readiness of Quantum Optimization Machines for Industrial Applications

Physical Review Applied
2019-07-02 | Journal article
DOI: 10.1103/PhysRevApplied.12.014004
Contributors: Alejandro Perdomo-Ortiz; Alexander Feldman; Asier Ozaeta; Sergei V. Isakov; Zheng Zhu; Bryan O’Gorman; Helmut G. Katzgraber; Alexander Diedrich; Hartmut Neven; Johan de Kleer et al.
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Quantum-assisted Helmholtz machines: A quantum–classical deep learning framework for industrial datasets in near-term devices

Quantum Science and Technology
2018-07 | Journal article
DOI: 10.1088/2058-9565/aabd98
Contributors: Marcello Benedetti; John Realpe-Gómez; Alejandro Perdomo-Ortiz
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Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers

Quantum Science and Technology
2018-06-19 | Journal article
DOI: 10.1088/2058-9565/aab859
Contributors: Alejandro Perdomo-Ortiz; Marcello Benedetti; John Realpe-Gómez; Rupak Biswas
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Peer review (2 reviews for 1 publication/grant)

Review activity for Nature communications (2)
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