Miguel Angel Lopez-Ruiz

Quantum Computing Algorithms and Architecture Quantum Information and Cryptography Quantum Chromodynamics and Particle Interactions High-Energy Particle Collisions Research Quantum many-body systems

Publications

Citations

Est. group size

—

Recurring co-author estimate

Active years

Publishing since 2016

Research summary

AI-generated

Miguel Angel Lopez-Ruiz works on quantum computing, developing and testing algorithms that run on real quantum hardware (such as trapped-ion machines) for practical problems like portfolio optimization, protein folding, scheduling, and linear algebra. Earlier work focused on theoretical particle physics, particularly quantum chromodynamics and how quarks are confined inside particles. Recent research bridges physics and applied quantum computing, including simulations of nuclear processes like neutrinoless double-beta decay.

Quantum algorithms and hardware applicationsHybrid quantum-classical optimizationQuantum simulation of physics problemsQuantum computing benchmarkingTheoretical particle physics (QCD, confinement)

After a modest and intermittent output through the late 2010s and early 2020s, publication activity rose sharply in 2026, indicating a recent surge in output.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence

Publications per year over the last 10 years — averaging 3.6/year recently

Recent publications

Pathfinding quantum simulations of neutrinoless double-β decay
Nature Communications · 2026
Pathfinding quantum simulations of neutrinoless double-β decay
Nature Communications · 2026
Large-scale portfolio optimization on a trapped-ion quantum computer
Open MIND · 2026
Large-scale portfolio optimization on a trapped-ion quantum computer
arXiv (Cornell University) · 2026
End-to-end performance of quantum-accelerated large-scale linear algebra workflows
arXiv (Cornell University) · 2026
End-to-end performance of quantum-accelerated large-scale linear algebra workflows
arXiv (Cornell University) · 2026
Hybrid Quantum-Classical Optimization Workflows for the Shipment Selection Problem
arXiv (Cornell University) · 2026
Measuring what matters: A scalable framework for application-level quantum benchmarking
arXiv (Cornell University) · 2026
Measuring what matters: A scalable framework for application-level quantum benchmarking
arXiv (Cornell University) · 2026
Hybrid Quantum-Classical Optimization Workflows for the Shipment Selection Problem
arXiv (Cornell University) · 2026
Protein folding on a 64 qubit trapped-ion hardware via counterdiabatic quantum optimization
arXiv (Cornell University) · 2026
Protein folding on a 64 qubit trapped-ion hardware via counterdiabatic quantum optimization
arXiv (Cornell University) · 2026
Protein folding with an all-to-all trapped-ion quantum computer
arXiv (Cornell University) · 2025
A Non-Variational Quantum Approach to the Job Shop Scheduling Problem
arXiv (Cornell University) · 2025
Confinement from correlated instanton-dyon ensembles in SU(2) Yang-Mills theory
Physical review. D/Physical review. D. · 2019

Publishes in

arXiv (Cornell University)×12
Physical review. D/Physical review. D.×2
Nature Communications×2
The Journal of Physical Chemistry Letters×1
The Journal of Physical Chemistry A×1

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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