6 papers
Calabi-Yau Metrics with Full Moduli Dependence
Andrei Constantin, Seung-Joo Lee, Andre Lukas +1
Recent advances in numerical and machine-learning methods have enabled highly accurate constructions of Ricci-flat metrics on compact Calabi-Yau three-folds. For phenomenological a…
Calabi-Yau Metrics with Kähler Moduli Dependence
Andrei Constantin, Andre Lukas, Luca A. Nutricati
We present a method to construct approximate analytic expressions for Ricci-flat Kähler metrics on Calabi-Yau threefolds with explicit dependence on the Kähler moduli. Our strate…
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…
Reproducing Standard Model Fermion Masses and Mixing in String Theory: A Heterotic Line Bundle Study
Andrei Constantin, Lucas T. -Y. Leung, Andre Lukas +1
Deriving the Yukawa couplings and the resulting fermion masses and mixing angles of the Standard Model (SM) from a more fundamental theory remains one of the central outstanding pr…
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…