Infleqtion + NVIDIA NVQLink: Connecting our Sqale Quantum Computer to AI Supercomputers in Real Time
Summarize this article with:
Today at NVIDIA GTC DC, Infleqtion was named an inaugural NVQLink launch partner. We were excited to feature our neutral-atom quantum computer Sqale, in Jensen Huang’s keynote, and we’re also showing a model of our hardware in the NVIDIA Booth until the end of the conference tomorrow (Tuesday Oct 28) evening. Here’s what we launched—and why it matters. What we announced NVQLink integration for Sqale. NVQLink provides a standardized, low-latency connection between quantum processors and GPU-accelerated systems, enabling true real-time hybrid computing. Sqale-IL at IQMP. We will host an NVQLink-enabled Sqale system at the Illinois Quantum & Microelectronics Park (IQMP), expanding Illinois’ role in quantum and AI supercomputing. This follows our recent announcement of an expected $50M public-private initiative in Illinois. Why NVQLink matters Scaling quantum computers requires logical qubits and fast quantum–classical feedback loops (for calibration, decoding, and error correction). Historically there wasn’t a single, high-performance way to couple QPUs to AI supercomputers—NVQLink provides that missing interface. It supports real-time orchestration of CPUs, GPUs, and QPUs, so quantum programs and AI programs can operate as one system. Under the hood, NVQLink connects quantum control systems to appropriately sized GPU servers and uses an optimized network (RDMA over Ethernet) for deterministic, low-latency data movement— microsecond-scale transfer in typical configurations, which fits comfortably into our expected quantum error correction clock cycle time. CUDA-Q exposes real-time callbacks across NVQLink, so developers can implement cycle-by-cycle control and hybrid algorithms without custom plumbing. What this unlocks—near term Error correction at speed. Heavy classical workloads—syndrome decoding, feedback, and control—can run on GPUs and be applied to the QPU immediately, a prerequisite for stabilizing logical qubits at scale. Hybrid algorithms, faster loops. Applications to materials science (for instance, our collaboration with NVIDIA on the Anderson Impurity Model), chemistry, and AI/ML benefit from tight, millisecond-to-microsecond iteration between QPU evaluation and GPU-based optimization. Built on a strong technical foundation NVQLink complements our recent progress—e.g., demonstrations spanning logical-qubit operations (including the first such demonstration of Shor’s algorithm for decryption), 12 logical qubits, and 1,600 physical qubits—by adding the classical “muscle” required to scale. With a standardized interface in place, researchers can move from bespoke demos to repeatable, interoperable hybrid systems. On the software side, the integration between our Superstaq compiler and the CUDA-Q toolchain make it easier to not only target Infleqtion hardware, but also force-multiply it with optimized orchestration. See it at GTC and what’s next You can see Sqale featured in the Jensen Huang’s keynote and in the NVIDIA booth as part of the NVQLink launch partner showcase. You can also visit the Infleqtion booth (#420) to dive into further details Looking ahead, we’ll make Sqale broadly accessible through CUDA-Q and bring our Sqale-IL machine at IQMP. We’re also collaborating on hands-on experiences for the community, including participation in a tutorial with NVIDIA and NERSC at the SC supercomputing conference in St. Louis next month. The bigger picture Quantum processors and AI supercomputers are complementary: quantum accesses physics that’s hard for classical machines to emulate, while GPUs deliver the massive, deterministic throughput needed for control and learning. NVQLink lets them operate together as one system. As this architecture rolls into supercomputing centers, we expect logical qubits to become first-class resources in HPC—accelerating discovery across science and industry. We’re excited to work with researchers and partners building on this foundation. If you’re developing hybrid quantum–AI applications—or building the infrastructure to run them—let’s talk. The post Infleqtion + NVIDIA NVQLink: Connecting our Sqale Quantum Computer to AI Supercomputers in Real Time appeared first on Infleqtion.