76 citations · 309 across the 17 of their papers we have counts for
14 papers · 1 filter
When is randomization advantageous in quantum simulation?
Francesco Paganelli, Michele Grossi, Andrea Giachero +2
We study the regimes in which Hamiltonian simulation benefits from randomization. We introduce a sparse-QSVT construction based on composite stochastic decompositions, where domina…
Neutrino thermalization via randomization on a quantum processor
Oriel Kiss, Ivano Tavernelli, Francesco Tacchino +2
The dynamical evolution of neutrino flavor in supernovae can be modeled by an all-to-all spin Hamiltonian with random couplings. Simulating such two-local Hamiltonian dynamics rema…
Statistics of topological defects across a phase transition in a digital superconducting quantum processor
Oriel Kiss, Daniil Teplitskiy, Michele Grossi +1
When a quantum phase transition is crossed within a finite time, critical slowing down disrupts adiabatic dynamics, resulting in the formation of topological defects. The average d…
Early Fault-Tolerant Quantum Algorithms in Practice: Application to Ground-State Energy Estimation
Oriel Kiss, Utkarsh Azad, Borja Requena +3
We investigate the feasibility of early fault-tolerant quantum algorithms focusing on ground-state energy estimation problems. In particular, we examine the computation of the cumu…
Quantum error mitigation for Fourier moment computation
Oriel Kiss, Michele Grossi, Alessandro Roggero
Hamiltonian moments in Fourier space - expectation values of the unitary evolution operator under a Hamiltonian at different times - provide a convenient framework to understand qu…
Symmetry-invariant quantum machine learning force fields
Isabel Nha Minh Le, Oriel Kiss, Julian Schuhmacher +2
Machine learning techniques are essential tools to compute efficient, yet accurate, force fields for atomistic simulations. This approach has recently been extended to incorporate…