D-Wave's Murray Thom on the Future of Quantum Computing скачать в хорошем качестве

D-Wave's Murray Thom on the Future of Quantum Computing

In this TechVoices conversation, D-Wave Vice President Murray Thom demystifies quantum computing and explains why parts of it are already practical today. He contrasts annealing and gate-model approaches, shows how superconducting quantum systems are tackling high-dimensional optimization, and points to production deployments in workforce, manufacturing, and telecom. Why quantum matters now—and where it’s working: --Quantum in plain English: Think of it as energy-efficient computing for very hard problems—especially combinatorial optimization—where the “speed limit” of exploring solutions can be higher than with classical machines. --Two models, two strengths: Annealing (a type of quantum computing) helps jump between candidate solutions quickly for scheduling, routing, and logistics; gate-model (also a type of quantum computing) aims to store and manipulate far more information for simulations (e.g., molecules). D-Wave’s systems use superconducting circuits you can literally see on thumbnail-sized chips. --Real-world impact today: Patterson Food Group cut schedule-creation time for delivery fleets by ~80% and expects ~50,000 hours saved annually in store staffing; Ford Otosan scheduled ~1,000 vehicles in ~5 minutes instead of ~30; NTT DOCOMO reduced peak paging signals ~15% across ~250,000 base stations. --Hybrid is the path—and it’s enterprise-ready: Quantum is delivered via APIs alongside classical solvers (QCaaS) with sub-second responses, ~99.9% cloud availability, and SOC 2 compliance; a recent survey shows ~80% of CIOs are planning for quantum use cases, often tied to AI-driven forecasting and optimization. #ai #quantumcomputing