Unisys showcases quantum computing breakthroughs at IEEE conference
September 19, 2025
As quantum computing transforms how organizations tackle previously unsolvable optimization problems, Unisys is leading the charge with research that bridges theoretical possibility with practical application.
At IEEE Quantum Week 2025, the premier quantum computing conference held August 31-September 5 in New Mexico, Unisys presented two pioneering research projects to the global quantum community. This multidisciplinary venue brought together quantum researchers, scientists, engineers, entrepreneurs, developers, students, practitioners, educators, and newcomers, creating unique opportunities to discuss both challenges and breakthroughs in the field.
Our research team contributed to the conference's technical program by demonstrating quantum applications that directly address real-world business challenges.
Representing Unisys at the event were Dr. Bhavika Bhalgamiya and Dr. Markus Bertl, who shared our latest innovations with quantum computing leaders from around the world.
Quantum solutions for logistics optimization
The first presentation, "Evaluating performance of Quantum Annealers vs Classical Optimizers in the Aircraft Container Loading problem: A Feasibility Study," explored how quantum computing can optimize cargo loading. This complex combinatorial problem affects airline efficiency and costs. Led by research team members from Unisys, Newcastle University and UK National Quantum Computing Centre (NQCC), including Salvatore Sinno, Manav Babel, Nicholas Chancellor, Thomas Groß, David Headley, Alan Mott, Konstantinos Georgopoulos and Markus Bertl, the study compared quantum annealing performance against classical optimization methods, providing airlines with data-driven insights for operational improvements.
Enhanced financial risk prediction
The second research project, "Hybrid Quantum-Classical Transfer Learning Model for Credit Risk Assessment with Reduced Quantum Overhead and Enhanced Minority Class Prediction," addressed critical challenges in financial services. The team, Parvathy Gopakumar, Rubell Marion Lincy G, Salvatore Sinno, Shruthi Thuravakkath and Bhavika Bhalgamiya, developed hybrid quantum-classical models that improve credit risk prediction while reducing computational overhead and enhancing the detection of minority class patterns that traditional methods often miss.
Building quantum readiness across industries
Both papers demonstrate Unisys' commitment to developing practical quantum applications that integrate with existing enterprise infrastructure. The research advances quantum computing from theoretical potential toward deployable solutions that organizations can implement as quantum technology matures.
IEEE Quantum Week serves as the bridge between quantum science and industry development, bringing together researchers, engineers, entrepreneurs, and practitioners to discuss real-world applications. This multidisciplinary venue enables collaboration across academic, business, and technical communities working to advance quantum computing capabilities.
Ready to explore how quantum computing research translates into business advantage? Connect with Unisys quantum computing experts to discuss how these emerging technologies can address your organization's complex optimization and prediction challenges.