Quantum Theory and Application of Contextual Optimal Transport
- Nicola Mariella
- Albert Akhriev
- et al.
- 2024
- ICML 2024
Francesco Tacchino
Overview
Title
Research Staff Member
Location
IBM Research Europe - Zurich
Zurich, Switzerland
Bio
Dr. Francesco Tacchino joined the Quantum Computational Science group at IBM Research – Zurich in 2020. His research focuses on quantum algorithms, quantum simulations and quantum machine learning.
Francesco received his PhD in 2020 from the University of Pavia, Italy. He holds a M. Sc. in Theoretical Physics (2016) and a B. Sc. in Physics (2014), both at the University of Pavia, and a Second Level Diploma (2017), class of Science and Technologies, from the Institute for Advanced Study (IUSS), Pavia.
Publications
Hybrid Tree Tensor Networks for Quantum Simulation
- Julian Schuhmacher
- Marco Ballarin
- et al.
- 2024
- ReAQCT 2024
Engineered dissipation to mitigate barren plateaus
- Antonio Sannia
- Francesco Tacchino
- et al.
- 2024
- APS March Meeting 2024
Quantum Theory and Application of Contextual Optimal Transport
- 2023
- NeurIPS 2023
Symmetry-invariant Quantum Machine Learning Force Fields
- Isabel Le
- Oriel Kiss
- et al.
- 2023
- QTML 2023
Quantum algorithms for grid-based variational time evolution
- Pauline Jeanne Ollitrault
- Sven Jandura
- et al.
- 2023
- Quantum
Quantum Computing for Natural Sciences: Technology and Applications
- Stefano Mensa
- Francesco Tacchino
- et al.
- 2023
- QCE 2023
Quantum Generative Adversarial Networks For Anomaly Detection In High Energy Physics
- Elie Bermot
- Christa Zoufal
- et al.
- 2023
- QCE 2023
Quantum machine learning force fields
- Francesco Tacchino
- Oriel Kiss
- et al.
- 2023
- ACS Fall 2023
On Hitting Times for General Quantum Markov Processes
- Lorenzo Laneve
- Francesco Tacchino
- et al.
- 2023
- Quantum
Patents
Top collaborators
LF
AB
CZ
Christa Zoufal
Quantum Applications Researcher
SW
Stefan Woerner
Manager, Quantum Computational Science