12 citations · 13 across the 7 of their papers we have counts for
4 papers · 1 filter
Reshaping quantum annealing landscapes with diagonal catalysts
Andrés N. Cáliz, Carlos Ramon-Escandell, Finnley Paolella +4
Quantum annealing is often limited by population trapped in local minima many spin flips from the solution. We introduce a mathematical framework to understand the connection betwe…
Do quantum linear solvers offer advantage for networks-based system of linear equations?
Disha Shetty, Supriyo Dutta, Palak Chawla +5
In this exploratory numerical study, we assess the suitability of Quantum Linear Solvers(QLSs)toward providing a quantum advantage for Networks-based Linear System Problems (NLSPs)…
A coherent approach to quantum-classical optimization
Andrés N. Cáliz, Jordi Riu, Josep Bosch +3
Hybrid quantum-classical optimization techniques, which incorporate the pre-optimization of Variational Quantum Algorithms (VQAs) using Tensor Networks (TNs), have been shown to al…
Reinforcement Learning Based Quantum Circuit Optimization via ZX-Calculus
Jordi Riu, Jan Nogué, Gerard Vilaplana +2
We propose a novel Reinforcement Learning (RL) method for optimizing quantum circuits using graph-theoretic simplification rules of ZX-diagrams. The agent, trained using the Proxim…