Quantum Computing
Valle Varo
Postdoc Researcher
Hamburg
Summary
Quantum computing and machine learning researcher, interested in the application of quantum technologies for high energy physics research, in particular, for calorimeter data reconstruction.
Overview
6
6
years of professional experience
7
7
years of post-secondary education
Work History
Postdoc Researcher
DESY
Hamburg
11.2022 - Current
- High Energy Physics generative data models.
- Quantum Machine Learning methods and applications.
- Quantum Computing Error Mitigation models.
- Experienced in classical machine learning methods.
Artificial Intelligence Researcher
Tecnalia Research Foundation
Bilbao
04.2022 - 10.2023
- Machine learning applied to industry.
- Revised, modularized and updated old code bases to modern development standards, reducing operating costs, and improving functionality.
- Collaborated on stages of systems development lifecycle from requirement gathering to production releases.
Graduate Intern
European Space Agency (ESA)
Madrid
06.2017 - 08.2017
- Built from scratch an open source Python project inspired from AgisLab (GAIA).
- Performed simulations of global astrometry with a nominal scanning law, and trained a Neural Network (Deep Feed Forward) to distinguish between real data and noise.
- Worked well independently and within a team setting.
Education
Ph.D. - Applied Mathematics
Universidad Carlos III De Madrid
Madrid 10.2019 - 06.2022
Master of Science - Theoretical Physics And Particle Physics
Universidad Autónoma De Madrid´
Madrid 09.2018 - 07.2019
Bachelor of Science - Physics
Imperial College London
London 09.2014 - 07.2018
Skills
Machine Learning
High Energy Physics
Python
Publications
- “Covariant phase space for gravity with boundaries: metric vs tetrad formulations” J. Fernando Barbero G., Juan Margalef-Bentabol, Valle Varo, Eduardo J. S. Villaseñor, Physical Review D, 104 (2021) 044048
- “Palatini gravity with nonmetricity, torsion, and boundaries in metric and connection variables”J. Fernando Barbero G., Juan Margalef-Bentabol, Valle Varo, Eduardo J. S. Villaseñor, Physical Review D, 104 (2021) 044046
- “Three roads to the geometric constraint formulation of gravitational theories with boundaries”J. Fernando Barbero G, Marc Basquens, Valle Varo, Eduardo J. S. Villaseñor, Symmetry 13 (2021) 1430
- “On the on-shell equivalence of general relativity and Holst theories with nonmetricity, torsion, and boundaries” J. Fernando Barbero G, Juan Margalef-Bentabol, Valle Varo, Eduardo J. S. Villaseñor. Physical Review D, 105 (2022), 064066
Conferences
- Inverted CERN School of Computing (iCSC 2023) - (06-09 March 2023, Geneva) (online)
- 778. WE-Heraeus-Seminar "Coping with Errors in Scalable Quantum Computing Systems (08 Jan - 11 Jan 2023, Bonn)
- 15th Annual Helmholtz Alliance Workshop on "Physics at the Terascale" (DESY, 29-30 November 2022) (online)
- Quantum Techniques in Machine Learning 2022 (8-12 November 2022, Naples) (online)
- International Conference on Quantum Technologies for High-Energy Physics QT4HEP22 (2-4 November 2022, CERN) (online)
- Workshop on Quantum Computing (19-21 October 2022, Cyprus) (online)
- Second Helmholtz Quantum Conference (16 September 2022, Berlin) (online)
- Spanish and Portuguese Relativity Meetings (29 - 31 August 2022, Salamanca)
- The 7th Conference of the Polish Society on Relativity (20-23 September 2021, Lodz)
- Junior Seminars Carlos III de Madrid (3 December 2020) - 1h Seminar
Timeline
Postdoc Researcher
DESY
11.2022 - Current
Artificial Intelligence Researcher
Tecnalia Research Foundation
04.2022 - 10.2023
Ph.D. - Applied Mathematics
Universidad Carlos III De Madrid
10.2019 - 06.2022
Master of Science - Theoretical Physics And Particle Physics
Universidad Autónoma De Madrid´
09.2018 - 07.2019
Graduate Intern
European Space Agency (ESA)
06.2017 - 08.2017
Bachelor of Science - Physics
Imperial College London
09.2014 - 07.2018
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