Application

Quantum AI for noise characterization of quantum computers

 Quantum Information and Quantum computation group at the University of Valencia

Group description:

The members of the group are: Armando Pérez (University professor), Germán Rodrigo (CSIC Scientific Researcher), Manuel Gessner (Ramón y Cajal Researcher), Leandro Cieri and Bryan Zaldívar (CIDEGENT Distinguished Researchers), Somayeh Mehrabankar and Selomit Ramírez (Postdoctoral Researchers), German Sborlini and Luiz Vale Silva (MSCA Researchers), Andreu Anglés, Rafael Gómez, Jorge Martínez de Lejarza, Andrés Rentería, and David Rentería (Ph.D. students). Their research areas include: quantum computers, open quantum systems, quantum algorithms and simulations of quantum systems, quantum entanglement, quantum metrology, and quantum machine learning.

Activity description:

The Quantum Information and Quantum Computing group at the University of Valencia studies and characterizes noise in quantum computers using AI techniques. Specifically, they investigate techniques for noise mitigation in these types of computers, whether in Markovian or non-Markovian environments. They research the simulation of many-body quantum physical systems (Ising model, XX model, and others) using quantum computers. Other activities include the investigation of quantum entanglement, quantum metrology, and quantum machine learning. Furthermore, they specialize in the development and application of quantum algorithms in elementary particle physics and quantum field theory, such as quantum clustering methods, quantum Monte Carlo integrators, and causal characterization of multiloop Feynman diagrams.

IDAL Group

Group description:

The members of the group are: José D. Martín Guerrero. Catedràtic d’Universitat. Intelligent Data Analysis Laboratory (IDAL), ETSE-UV; J. Rafael Magdalena Benedicto. Professor Titular d’Universitat. Intelligent Data Analysis Laboratory (IDAL), ETSE-UV; Carlos Hernani Morales. Non-doctoral researcher. Intelligent Data Analysis Laboratory (IDAL), ETSE-UV and Antonio Ferrer Sánchez. Non-doctoral researcher. Intelligent Data Analysis Laboratory (IDAL), ETSE-UV.

Activity description:

Research in:
– Quantum Machine Learning
– Classical Machine Learning for describing and interpreting quantum phenomenology

Results

Fanchiotti, H.; García-Canal, C. A.; Mayosky, M.; Pérez, A.; Veiga, A.

Quantum and classical dynamics correspondence and the brachistochrone problem Journal Article

In: Physical Review A, vol. 110, iss. 4, 2024, ISSN: 2469-9926 .

Abstract | Links | BibTeX | Tags: UV

Ugo Nzongani, U.; Eon, N.; Márquez-Martín, I.; Pérez, A.; Di Molfetta, G.; Arrighi, P.

Dirac quantum walk on tetrahedra Journal Article

In: Physical Review A, vol. 110, iss. 4, 2024, ISSN: 2469-9926 .

Abstract | Links | BibTeX | Tags: UV

Xu, T. N.; Ding, Y.; Martín-Guerrero, J. D.; Chen, X.

Robust two-qubit gate with reinforcement learning and dropout Journal Article

In: Physical Review A, vol. 110, iss. 3, 2024.

Abstract | Links | BibTeX | Tags: UV

Anglés-Castillo, A.; Pérez, A.; Roldán, E.

Bright and dark solitons in a photonic nonlinear quantum walk: lessons from the continuum Journal Article

In: New Journal of Physics, vol. 26, 2024.

Abstract | Links | BibTeX | Tags: UV

Ding, Y.; Martín-Guerrero, J. D.; Vives-Gilabert, Y.; Chen, X.

Active Learning in Physics: From 101, to Progress, and Perspective Bachelor Thesis

2023.

Abstract | Links | BibTeX | Tags: UV

Clemente, G.; Crippa, A.; Jansen, K.; Ramírez-Uribe, S.; Rentería-Olivo, A. E.; Rodrigo, G.; Sborlini Germán Rodrigo, G.; Silva, L. V.

Variational quantum eigensolver for causal loop Feynman diagrams and directed acyclic graphs Journal Article

In: Physical Review D, vol. 108, iss. 9, 2023.

Abstract | Links | BibTeX | Tags: UV

Hernani-Morales, C.; Alvarado, G.; Albarrán-Arriagada, F.; Vives-Gilabert, Y.; Solano, E.; Martín-Guerrero, J. D.

Machine Learning for maximizing the memristivity of single and coupled quantum memristors pre-print

2023.

Abstract | Links | BibTeX | Tags: machine learning, UV

Ferrer-Sánchez, A.; Flores-Garrigós, C.; Hernani-Morales, C.; Orquín-Marqués, J. J.; Hegade, N. N.; A.G. Cadavid, Montalban; Solano, E.; Vives-Gilabert, Y.; Martín-Guerrero, J. D.

Physics-Informed Neural Networks for an optimal counterdiabatic quantum computation pre-print

2023.

Abstract | Links | BibTeX | Tags: UV

Nzongani, U.; Zylberman, J.; Doncecchi, C. E.; Pérez, A.; Debbasch, F.; Arnault, P.

Quantum circuits for discrete-time quantum walks with position-dependent coin operator Journal Article

In: 2023.

Abstract | Links | BibTeX | Tags: UV

Miranda, E. R.; Martín-Guerrero, J. D.; Venkatesh, S.; Hernani-Morales, C.; Lamata, L.; Solano, E.

Quantum Brain Networks: A Perspective Journal Article

In: Electronics , vol. 11, no. 10, pp. 1528, 2022.

Abstract | Links | BibTeX | Tags: artificial intelligence, quantum computing, UV

Ding, Y.; Gonzalez-Conde, J.; L. Lamata, Martín-Guerrero; Lizaso, E.; Mugel, S.; Chen, X.; Orús, R.; Solano, E.; Sanz, M.

Toward Prediction of Financial Crashes with a D-Wave Quantum Annealer Journal Article

In: Entropy, vol. 25, iss. 2, pp. 323, 0000, ISBN: 1099-4300.

Abstract | Links | BibTeX | Tags: quantum, quantum annealer, UV

Mehrabankar, S.; García-March, M. A.; Almudéver, C. G.; Pérez, A.

Reducing the number of qubits in quantum simulations of one dimensional many-body Hamiltonians Unpublished

Preprint, 0000.

Abstract | Links | BibTeX | Tags: UV