activity
20072022
most citedQibo: a framework for quantum simulation with hardware acceleration

135 citations · 579 across the 22 of their papers we have counts for

collaborators

22 papers

quant-ph2022

Steered quantum annealing: improving time efficiency with partial information

Ana Palacios de Luis, Artur Garcia-Saez, Marta P. Estarellas

In the computational model of quantum annealing, the size of the minimum gap between the ground state and the first excited state of the system is of particular importance, since i…

quant-ph2022★ 11 cited

Adiabatic quantum algorithm for artificial graphene

Axel Pérez-Obiol, Adrián Pérez-Salinas, Sergio Sánchez-Ramírez +2

We devise a quantum-circuit algorithm to solve the ground state and ground energy of artificial graphene. The algorithm implements a Trotterized adiabatic evolution from a purely t…

quant-ph2022★ 5 cited

RosneT: A Block Tensor Algebra Library for Out-of-Core Quantum Computing Simulation

Sergio Sánchez-Ramírez, Javier Conejero, Francesc Lordan +4

With the advent of more powerful Quantum Computers, the need for larger Quantum Simulations has boosted. As the amount of resources grows exponentially with size of the target syst…

quant-ph2020★ 135 cited

Qibo: a framework for quantum simulation with hardware acceleration

Stavros Efthymiou, Sergi Ramos-Calderer, Carlos Bravo-Prieto +5

We present Qibo, a new open-source software for fast evaluation of quantum circuits and adiabatic evolution which takes full advantage of hardware accelerators. The growing interes…

quant-ph2019★ 15 cited

Quantum Observables for continuous control of the Quantum Approximate Optimization Algorithm via Reinforcement Learning

Artur Garcia-Saez, Jordi Riu

We present a classical control mechanism for Quantum devices using Reinforcement Learning. Our strategy is applied to the Quantum Approximate Optimization Algorithm (QAOA) in order…

quant-ph2018★ 25 cited

Addressing hard classical problems with Adiabatically Assisted Variational Quantum Eigensolvers

A. Garcia-Saez, J. I. Latorre

We present a hybrid classical-quantum algorithm to solve optimization problems in current quantum computers, whose basic idea is to assist variational quantum eigensolvers (VQE) wi…