17 citations · 22 across the 4 of their papers we have counts for
4 papers
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…
Kubernetes-Orchestrated Hybrid Quantum-Classical Workflows
Mar Tejedor, Michele Grossi, Cenk Tüysüz +2
Hybrid quantum-classical workflows combine quantum processing units (QPUs) with classical hardware to address computational tasks that are challenging or infeasible for conventiona…
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…
Symmetry breaking in geometric quantum machine learning in the presence of noise
Cenk Tüysüz, Su Yeon Chang, Maria Demidik +3
Geometric quantum machine learning based on equivariant quantum neural networks (EQNN) recently appeared as a promising direction in quantum machine learning. Despite the encouragi…