It's the fifteen minutes buried inside your existing simulation — the routing step, the portfolio rebalancing calculation, the materials-search inner loop — that's a quantum-shaped problem sitting inside an otherwise entirely classical pipeline.
Enterprises running accelerated computing on NVIDIA infrastructure — CFD simulations, molecular modeling, portfolio risk engines, logistics optimization — routinely have a combinatorial optimization or sampling bottleneck buried somewhere inside an otherwise classical workflow. Today, finding that bottleneck and doing anything about it requires someone to already recognize it as "a quantum problem," then go build a separate quantum application for it. Most teams never get past the first step.
Lightbridge's agentic layer sits alongside your existing CUDA-Q and GPU-accelerated pipeline. It identifies the specific subroutine that's combinatorially hard — not the whole workload, just the piece that's actually a quantum-favorable problem — formulates it, and routes it through NVIDIA's NVQLink infrastructure to the right quantum backend. The result comes back into your existing pipeline. Nothing about your architecture has to change.
NVIDIA has built the real-time, microsecond-latency interconnect (NVQLink, via the cudaq-realtime API) that makes quantum processors function as genuine co-processors to GPU workloads — not isolated systems requiring a separate integration effort. Lightbridge is built to use that infrastructure as it stands today.