Quantum computing isn’t some sci‑fi “someday” tech anymore—and in this OPTO Sessions interview I sat down with Dr. Alan Baratz, CEO of D‑Wave, to get specific about what’s real, what’s hype, and what’s commercially happening today. We break down quantum computing as using quantum mechanical effects (superposition, entanglement, tunneling) to solve certain hard problems faster than classical machines. Alan explains why D‑Wave is different: they’re a full‑stack provider (hardware, cloud access, open‑source dev tools, and professional services) and, critically, they have customers running production workloads right now. A big focus is the architecture split: D‑Wave’s quantum annealing versus the gate model most other companies pursue. Annealing is easier to scale, less error‑sensitive, and can deliver useful optimization results today without error correction—while gate model systems are still largely R&D and likely require error correction to do useful commercial work. We also get into the “quantum realized” framework (performance vs classical, reliability/availability with SLAs, and real production customers), plus concrete case studies like NTT Docomo cutting an optimization from 27 hours to 40 seconds and Patterson Food Group shrinking weekly scheduling from 25 hours to minutes. Finally, we talk momentum (500% Q4 bookings growth), the roadmap from 5,000 qubits to 100,000 via multi‑chip scaling and cryogenic control, and two potentially transformative frontiers: using quantum to reduce AI training energy, and quantum proof‑of‑work hashing that could make blockchain dramatically more energy efficient.