11 citations · 22 across the 12 of their papers we have counts for
13 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…
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…
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 strategy…
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…
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…
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…
A New Non-Renormalization Theorem from UV/IR Mixing
Steven Abel, Keith R. Dienes, Luca A. Nutricati
In this paper, we prove a new non-renormalization theorem which arises from UV/IR mixing. This theorem and its corollaries are relevant for all four-dimensional tachyon-free closed…
String Model Building on Quantum Annealers
Steven A. Abel, Luca A. Nutricati, John Rizos
We explore for the first time the direct construction of string models on quantum annealers, and investigate their efficiency and effectiveness in the model discovery process. Thro…
Decoding Nature with Nature's Tools: Heterotic Line Bundle Models of Particle Physics with Genetic Algorithms and Quantum Annealing
Steve Abel, Andrei Constantin, Thomas R. Harvey +2
The string theory landscape may include a multitude of ultraviolet embeddings of the Standard Model, but identifying these has proven difficult due to the enormous number of availa…
On the Running of Gauge Couplings in String Theory
Steven Abel, Keith R. Dienes, Luca A. Nutricati
In this paper we conduct a general, model-independent analysis of the running of gauge couplings within closed string theories. Unlike previous discussions in the literature, our c…
A Genetic Quantum Annealing Algorithm
Steven Abel, Luca A. Nutricati, Michael Spannowsky
A genetic algorithm (GA) is a search-based optimization technique based on the principles of Genetics and Natural Selection. We present an algorithm which enhances the classical GA…
Ising Machines for Diophantine Problems in Physics
Steven Abel, Luca A. Nutricati
Diophantine problems arise frequently in physics, in for example anomaly cancellation conditions, string consistency conditions and so forth. We present methods to solve such probl…