37 citations · 52 across the 8 of their papers we have counts for
9 papers
Toward Quantum Utility in Correlated Topological Matter: Variational Preparation of Fractional Quantum Hall Manifolds
Sergio F. Expósito, Unai Aseginolaza, Raúl Guerrero-Avilés +3
We investigate the use of variational quantum algorithms to prepare and characterize fractional quantum Hall states on near-term quantum processors. Focusing on the Laughli…
A Useful Metric for the NISQ Era: Qubit Error Probability and Its Role in Zero Noise Extrapolation
Nahual Sobrino, Unai Aseginolaza, Joaquim Jornet-Somoza +1
Accurate assessment and management of errors is indispensable for extracting useful results from noisy intermediate-scale quantum (NISQ) devices. In this work, we propose the qubit…
Regioselective On-Surface Synthesis of [3]Triangulene Graphene Nanoribbons
Michael C. Daugherty, Peter H. Jacobse, Jingwei Jiang +9
The integration of low-energy states into bottom-up engineered graphene nanoribbons (GNRs) is a robust strategy for realizing materials with tailored electronic band structure for…
Optical properties and exciton transfer between N-heterocyclic carbene iridium (III) complexes for blue light-emitting diode applications from first principles
Irina V. Lebedeva, Joaquim Jornet-Somoza
N-heterocyclic carbene (NHC) iridium (III) complexes are considered as promising candidates for blue emitters in organic light-emitting diodes. They can play the roles of the emitt…
Error estimation in current noisy quantum computers
Unai Aseguinolaza, Nahual Sobrino, Gabriel Sobrino +2
One of the main important features of the noisy intermediate-scale quantum (NISQ) era is the correct evaluation and consideration of errors. In this paper, we analyze the main sour…
A basic electro-topological descriptor for the prediction of organic molecule geometries by simple machine learning
Carlos Manuel de Armas-Morejón, Ask Hjorth Larsen, Luis A. Montero-Cabrera +2
This paper proposes a machine learning (ML) method to predict stable molecular geometries from their chemical composition. The method is useful for generating molecular conformatio…