Dr. Vladimir Gusev | Qubit Europe 2026

Crystalline materials underpin many modern technologies, yet their discovery remains a complex, multi-step process. Crystal Structure Prediction (CSP) methods can accelerate materials innovation by partially replacing experiments with computation, but CSP itself constitutes a class of highly challenging optimization problems aimed at identifying the arrangement of atoms in space that minimizes their interaction energy. In this talk, we outline how quantum annealers can be used to address the combinatorial challenge of CSP by driving the exploration of possible atomic arrangements under data-driven guidance. Our early results highlight a pathway for quantum computing to accelerate materials discovery across a range of chemistries. About Qubits: D-Wave’s annual quantum computing conference highlighted how quantum solutions are addressing real-world challenges in logistics, manufacturing, financial services, life sciences, and more. The conference featured groundbreaking work in quantum-powered AI, optimization, and materials science, along with insights into the latest quantum hardware and software from D-Wave’s development team. Attendees had the chance to participate in hands-on technical sessions designed to accelerate the adoption of quantum computing in your organization. Quantum Realized, brought to you by D-Wave. Subscribe: @dwavequantum Connect with D-Wave: Website: https://www.dwavequantum.com/ LinkedIn: / d-wave-quantum X: https://x.com/dwavequantum Facebook: / dwavequantum #Qubits26 #QuantumComputing #QuantumRealized