Quantum Computing with IBM Q
Friday, July 1, 2022 
9:30 AM
Monday, June 27, 2022
Tuesday, June 28, 2022
Wednesday, June 29, 2022
Thursday, June 30, 2022
Friday, July 1, 2022
9:30 AM
IBM Quantum Network: overview and resources

Michele Grossi
(
CERN
)
IBM Quantum Network: overview and resources
Michele Grossi
(
CERN
)
9:30 AM  10:30 AM
10:30 AM
Circumventing the sign problem for LQCDsimulations

Massimo D'Elia
(
Istituto Nazionale di Fisica Nucleare
)
Circumventing the sign problem for LQCDsimulations
Massimo D'Elia
(
Istituto Nazionale di Fisica Nucleare
)
10:30 AM  10:50 AM
In this project, we plan to study the application of quantum computing techniques to the investigation of the thermodynamical properties of simple toy models, again inspired by QCD, in contexts in which the infamous "signproblem" makes classical Monte Carlo simulation conceptually impossible. We will develop and test quantum algorithms able to completely solve the problem, and compare them with mixed quantumclassical algorithms, discussing the corresponding theoretical complexities and reliabilities on NISQ machines.
10:50 AM
Hamiltonian evolution of the dynamics of QCDinspired field theory models

Simone Montangero
(
Istituto Nazionale di Fisica Nucleare
)
Elisa Ercolessi
(
BO
)
Paolo Facchi
(
Istituto Nazionale di Fisica Nucleare
)
Hamiltonian evolution of the dynamics of QCDinspired field theory models
Simone Montangero
(
Istituto Nazionale di Fisica Nucleare
)
Elisa Ercolessi
(
BO
)
Paolo Facchi
(
Istituto Nazionale di Fisica Nucleare
)
10:50 AM  11:10 AM
In this project, we plan to study the dynamics of simple field theoretic models, that can be studied with available QC systems, and are inspired by Quantum Chromodynamics. One can study the dynamics of simple nonabelian gauge theories, that retains significant conceptual similarity with the more complex SU(2) and SU(3) gauge theory. One can explore the dynamics and measure observables of e.g. the D4 gauge group or of the 120element icosahedral group on small 2D (and eventually 3D) lattice grids, assessing the complexity of the relevant quantum codes, verifying the algorithms through emulation and finally quantifying reliability on actual QC systems.
11:10 AM
Exploring Quantum Computing

Sebastiano Schifano
(
FE
)
Exploring Quantum Computing
Sebastiano Schifano
(
FE
)
11:10 AM  11:30 AM
In this project we plan to explore the potential of Quantum Systems from the computational point of view. We aim to focus on general combinatorial problems that may be of interest for INFN applications (e.g. graph coloring for sceduling problems), designing algorithms, and investigate computational complexity and programming issues. In particular we aim to use quantum machines as accelerators developing hybrid solvers. Also, we are interested in investigating quantum machine learning algorithms.
11:30 AM
Quantum Machine Learning for Event Classification and Event Simulation in Nuclear Physics, HighEnergy Physics and Gravitational Wave experiments

Stefano Giagu
(
Istituto Nazionale di Fisica Nucleare
)
Davide Zuliani
(
Istituto Nazionale di Fisica Nucleare
)
Pia Astone
(
Istituto Nazionale di Fisica Nucleare
)
Cristiano Palomba
(
Istituto Nazionale di Fisica Nucleare
)
Donatella Lucchesi
(
Istituto Nazionale di Fisica Nucleare
)
Lorenzo Sestini
(
Istituto Nazionale di Fisica Nucleare
)
Quantum Machine Learning for Event Classification and Event Simulation in Nuclear Physics, HighEnergy Physics and Gravitational Wave experiments
Stefano Giagu
(
Istituto Nazionale di Fisica Nucleare
)
Davide Zuliani
(
Istituto Nazionale di Fisica Nucleare
)
Pia Astone
(
Istituto Nazionale di Fisica Nucleare
)
Cristiano Palomba
(
Istituto Nazionale di Fisica Nucleare
)
Donatella Lucchesi
(
Istituto Nazionale di Fisica Nucleare
)
Lorenzo Sestini
(
Istituto Nazionale di Fisica Nucleare
)
11:30 AM  11:50 AM
In this project we plan to address the opportunities offered by Quantum Machine Learning for event classification and event simulation at nuclear physics, highenergy physics and gravitational wave experiments. We draw on already developed work in the area of jettagging in events from the LHCb experiment and develop further more advanced algorithms, evaluating the costbenefit tradeoff of a larger number of qbits and comparing results of the quantum algorithms with the stateoftheart offered by wellestablished classical algorithms.
11:50 AM
Quantum simulation of the NucleonNucleon potential

Francesco Pederiva
(
TIFP
)
Francesco Pederiva
(
Istituto Nazionale di Fisica Nucleare
)
Quantum simulation of the NucleonNucleon potential
Francesco Pederiva
(
TIFP
)
Francesco Pederiva
(
Istituto Nazionale di Fisica Nucleare
)
11:50 AM  12:10 PM
In this project we plan to explore the possibility to use a QC as a coprocessor for the study of the nucleonnucleon interaction. The spindependent part of the nucleonnucleon potential has matrix elements among the four possible spinstates of the two nucleons, so it can be associated and timeevolved in a twoqbit state. We plan to study the effectiveness of this approach, using already developed simulation algorithms, focusing with special interest on the development and test of a mixedmode classicalquantum global simulation package.
12:10 PM
Quantum simulations of collective neutrino oscillations

Alessandro Roggero
(
Istituto Nazionale di Fisica Nucleare
)
Quantum simulations of collective neutrino oscillations
Alessandro Roggero
(
Istituto Nazionale di Fisica Nucleare
)
12:10 PM  12:30 PM
In extreme astrophysical environments like core collapse supernovae, neutron star mergers and the early universe, neutrino flavor oscillations can be substantially modified by neutrinoneutrino scattering. Models of this process require the solution of a strongly coupled many particle problem. In this project we aim to exploit the similarity between the neutrino flavor Hamiltonian and a manyspin system to design quantum simulations to describe outofequilibrium flavor processes. In particular we intend to exploit the availability of pulse level control in superconducting qubit systems to increase the reliability of dynamical simulations.
12:30 PM
Quantum graph networks for particle track reconstruction

Concezio Bozzi
(
Istituto Nazionale di Fisica Nucleare
)
Daniele Bonacorsi
(
Istituto Nazionale di Fisica Nucleare
)
Andrea Rizzi
(
Istituto Nazionale di Fisica Nucleare
)
Quantum graph networks for particle track reconstruction
Concezio Bozzi
(
Istituto Nazionale di Fisica Nucleare
)
Daniele Bonacorsi
(
Istituto Nazionale di Fisica Nucleare
)
Andrea Rizzi
(
Istituto Nazionale di Fisica Nucleare
)
12:30 PM  12:50 PM
In this project we plan to explore the effectiveness of a quantum enhancement to the Neural Network approach to the problem of charged particle tracking. We plan to explore options to reengineer classical Graph Neural Networks of increasing complexity inside a quantum algorithms, exploring theoretical and practical limitations and comparing theoretical efficiency and experimenting with actual implementation.