Unisys to Showcase Quantum Boltzmann Machine Intrusion Detection Research at APS Summit
Unisys will present research on quantum-powered intrusion detection via generative dataset balancing at the APS Global Physics Summit on March 18, 2026. Led by senior quantum engineer Arati Sahoo, the presentation underscores Unisys’s expanding quantum program, following publications on vehicle routing optimization and IEEE conference acceptances.
1. Summit Presentation Details
Unisys will present its research on commercial quantum computing applications during the American Physical Society’s Global Physics Summit, running March 15–20 in Denver and virtually. Senior quantum engineer Arati Sahoo will deliver the session “Enhancing Intrusion Detection Systems Through Generative Dataset Balancing with Quantum Boltzmann Machines” on March 18 at 11:42 a.m. MST.
2. Research Focus
The presentation details how quantum Boltzmann machines can generate balanced datasets to improve intrusion detection accuracy, addressing cybersecurity challenges in real-world networks. This work demonstrates practical, business-focused applications of quantum generative machine learning techniques within Unisys’s Enterprise Computing Solutions division.
3. Quantum Research Momentum
Unisys has bolstered its quantum credentials with a peer-reviewed paper on vehicle routing optimization in the American Institute of Physics Journal and multiple acceptances at IEEE Quantum AI 2025 and IEEE Quantum Week 2025. These publications reinforce the company’s growing influence in both academic and industry quantum forums.
4. Strategic Outlook
As a member of the Chicago Quantum Exchange, Unisys is collaborating with leading research institutions to develop industry-specific quantum solutions. These initiatives, part of its Quantum Advisory Service, aim to identify new applications across transportation, financial services and other sectors.