Quantum computing research

Unisys' quantum team publishes peer-reviewed work that tackles hard problems in financial services, transportation, and healthcare. Each paper reflects hands-on collaboration with universities, national quantum centers, and industry partners — and a genuine drive to build quantum applications that hold up under real conditions. Explore the research below.

Evaluating the Performance of Quantum Annealers and Classical Optimizers in the Aircraft Container Loading Problem: A Feasibility Study

Quantum Machine Learning in Precision Medicine and Drug Discovery - A Game Changer for Tailored Treatments?

Implementing Large Quantum Boltzmann Machines as Generative AI Models for Dataset Balancing

Optimized Quantum Embedding: A Universal Minor-Embedding Framework for Large Complete Bipartite Graph

Quantum Annealing based Hybrid Strategies for Real Time Route Optimization

Performance of Commercial Quantum Annealing Solvers for the Capacitated Vehicle Routing Problem

Opportunities and Challenges of Quantum Computing and Quantum Machine Learning in Precision Medicine

Enhancing Credit Risk Prediction Through Co-Trained Hybrid Quantum Transfer Learning Model

Analyzing performance of commercial quantum annealing solvers for the capacitated vehicle routing problem