Quantum Generative Adversarial Networks For Anomaly Detection In High Energy Physics
- Elie Bermot
- Christa Zoufal
- et al.
- 2023
- QCE 2023
Francesco Tacchino
Title
Research Staff Member
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
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
Effective calculation of the Green's function in the time domain on near-term quantum processors
- Francesco Libbi
- Jacopo Rizzo
- et al.
- 2023
- APS March Meeting 2023
Proposal for using molecular spin qudits as quantum simulators of light–matter interactions
- Francesco Tacchino
- Alessandro Chiesa
- et al.
- 2022
- ACS Spring 2022
Representation Learning via Quantum Neural Tangent Kernels
- Junyu Liu
- Francesco Tacchino
- et al.
- 2022
- APS March Meeting 2022
Ancilla-free implementation of POVM measurements for near-term quantum algorithms
- 2022
- APS March Meeting 2022
Patents
Top collaborators
LF
AB
CZ
Christa Zoufal
Quantum Applications Researcher
SW
Stefan Woerner
Manager, Quantum Computational Science