98 citations · 708 across the 33 of their papers we have counts for
5 papers · 1 filter
Flow-Based Sampling for Entanglement Entropy and the Machine Learning of Defects
Andrea Bulgarelli, Elia Cellini, Karl Jansen +5
We introduce a novel technique to numerically calculate Rényi entanglement entropies in lattice quantum field theory using generative models. We describe how flow-based approaches…
Benchmarking Variational Quantum Algorithms for Combinatorial Optimization in Practice
Tim Schwägerl, Yahui Chai, Tobias Hartung +2
Variational quantum algorithms and, in particular, variants of the varational quantum eigensolver have been proposed to address combinatorial optimization (CO) problems. Using only…
Hamiltonian Lattice Formulation of Compact Maxwell-Chern-Simons Theory
Changnan Peng, Maria Cristina Diamantini, Lena Funcke +5
In this paper, a Hamiltonian lattice formulation for 2+1D compact Maxwell-Chern-Simons theory is derived. We analytically solve this theory and demonstrate that the mass gap in the…
Warm Start of Variational Quantum Algorithms for Quadratic Unconstrained Binary Optimization Problems
Yahui Chai, Karl Jansen, Stefan Kühn +2
Variational Quantum Eigensolver (VQE) is widely used in near-term hardware. However, their performances remain limited by the poor trainability and are dependent on random paramete…
Physics-Informed Bayesian Optimization of Variational Quantum Circuits
Kim A. Nicoli, Christopher J. Anders, Lena Funcke +7
In this paper, we propose a novel and powerful method to harness Bayesian optimization for Variational Quantum Eigensolvers (VQEs) -- a hybrid quantum-classical protocol used to ap…