4 papers · 1 filter
Quantum Annealing: Optimisation, Sampling, and Many-Body Dynamics
Steven Abel, Andrei Constantin, Luca A. Nutricati
Quantum annealing is a computational paradigm in which optimisation problems are mapped onto the energy landscape of an interacting quantum system and explored through its dynamica…
Enhancement of quantum annealing via n-local catalysts
Roopayan Ghosh, Luca A. Nutricati, Natasha Feinstein +2
The potential quantum speedup in solving optimization problems via adiabatic quantum annealing is often hindered by the closing of the energy gap during the anneal, especially when…
Quantum Annealing Feature Selection on Light-weight Medical Image Datasets
Merlin A. Nau, Luca A. Nutricati, Bruno Camino +2
We investigate the use of quantum computing algorithms on real quantum hardware to tackle the computationally intensive task of feature selection for light-weight medical image dat…
Enhancing the Energy Gap of Random Graph Problems via XX-catalysts in Quantum Annealing
Luca A. Nutricati, Roopayan Ghosh, Natasha Feinstein +2
One of the bottlenecks in solving combinatorial optimisation problems using quantum annealers is the emergence of exponentially-closing energy gaps between the ground state and the…