4 citations · 7 across the 2 of their papers we have counts for
11 papers · 1 filter
Closest Accessible Symmetry reduction: a tool for Hamiltonian interpolation analysis
Ana Palacios, Artur Garcia-Saez, Arnau Riera +1
We introduce a framework for analysing the spectrum of Hamiltonian interpolations without heavily relying on discretising the interpolation parameter. The method is based on the co…
Harnessing Quantum Extreme Learning Machines for image classification
A. De Lorenzis, M. P. Casado, M. P. Estarellas +5
Interest in quantum machine learning is increasingly growing due to its potential to offer more efficient solutions for problems that are difficult to tackle with classical methods…
Quantum simulation of one-dimensional fermionic systems with Ising Hamiltonians
Matthias Werner, Artur García-Sáez, Marta P. Estarellas
In recent years, analog quantum simulators have reached unprecedented quality, both in qubit numbers and coherence times. Most of these simulators natively implement Ising-type Ham…
A scalable 2-local architecture for quantum annealing of Ising models with arbitrary dimensions
Ana Palacios, Artur Garcia-Saez, Bruno Julia-Diaz +1
Achieving densely connected hardware graphs is a challenge for most quantum computing platforms today, and a particularly crucial one for the case of quantum annealing applications…
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…
Scalable Quantum Spin Networks from Unitary Construction
Abdulsalam H. Alsulami, Irene D'Amico, Marta P. Estarellas +1
Spin network systems can be used to achieve quantum state transfer with high fidelity and to generate entanglement. A new approach to design spin-chain-based spin network systems,…