Today at NVIDIA GTC DC, Infleqtion was named an inaugural NVQLink™ launch partner, showcasing its neutral-atom quantum computer, Sqale, in Jensen Huang’s keynote. This integration provides a standardized, low-latency connection between quantum processors and GPU-accelerated systems, enabling true real-time hybrid computing. Infleqtion will host an NVQLink-enabled Sqale system at the Illinois Quantum & Microelectronics Park (IQMP), expanding Illinois’ role in quantum and AI supercomputing. This advancement addresses a critical need for fast quantum-classical feedback loops, essential for scaling quantum computers and stabilizing logical qubits.
Quantum Computing Gains Speed with NVQLink Integration
Infleqtion announced today at NVIDIA GTC DC that it is an inaugural NVQLink™ launch partner, featuring its neutral-atom quantum computer, Sqale, in a keynote presentation by Jensen Huang. The company is also showcasing a model of its hardware at the NVIDIA booth through Tuesday evening. This integration aims to accelerate quantum computing by providing a standardized, low-latency connection between quantum processors and GPU-accelerated systems, enabling real-time hybrid computing capabilities.
NVQLink addresses a critical need for scaling quantum computers, requiring both logical qubits and fast quantum-classical feedback loops for calibration, decoding, and error correction. Historically, coupling quantum processing units (QPUs) to AI supercomputers presented significant performance challenges; however, NVQLink provides the missing interface. It supports the real-time orchestration of CPUs, GPUs, and QPUs, allowing quantum and AI programs to operate as a unified system with microsecond-scale data transfer.
This integration unlocks near-term advancements in error correction at speed, as heavy classical workloads like syndrome decoding and feedback can run on GPUs and be immediately applied to the QPU. Applications in materials science, chemistry, and AI/ML will benefit from tight, millisecond-to-microsecond iteration between QPU evaluation and GPU-based optimization, building on Infleqtion’s recent progress, including demonstrations spanning 12 logical qubits and 1,600 physical qubits. Infleqtion will host an NVQLink-enabled Sqale system at the Illinois Quantum & Microelectronics Park (IQMP), expanding Illinois’ role in quantum and AI supercomputing.
Scaling Quantum Systems: Bridging Quantum and Classical Computing
The integration of NVQLink is designed to address a critical bottleneck in scaling quantum systems: the speed of communication between quantum processors and classical computing resources. According to the company announcement, NVQLink facilitates real-time orchestration of CPUs, GPUs, and quantum processing units (QPUs), enabling a unified system where quantum and classical programs can operate seamlessly. This tight integration is crucial for complex tasks like quantum error correction, which demands rapid feedback loops and processing of vast amounts of data.
This low-latency connection leverages an optimized network , RDMA over Ethernet , achieving microsecond-scale data transfer, a speed that aligns with the expected clock cycle time for quantum error correction. Furthermore, CUDA-Q exposes real-time callbacks across NVQLink, allowing developers to implement cycle-by-cycle control and hybrid algorithms without extensive custom programming. This capability is especially valuable for heavy classical workloads such as syndrome decoding, feedback, and control, processes that can now be executed on GPUs and applied to the QPU immediately.
This advancement unlocks near-term benefits beyond error correction, including faster iteration in hybrid algorithms. Applications in materials science, such as collaboration with NVIDIA on the Anderson Impurity Model, chemistry, and AI/ML will benefit from millisecond-to-microsecond iteration between QPU evaluation and GPU-based optimization. Building on recent progress, including demonstrations of 12 logical qubits and 1,600 physical qubits, NVQLink provides the classical infrastructure necessary to stabilize these qubits at scale and realize the full potential of quantum computing.
Infleqtion’s integration with NVQLink represents a critical step toward scalable quantum computing systems. By enabling real-time orchestration between quantum processors and GPU-accelerated computing, this development could unlock new capabilities for complex calculations and data processing. For industries reliant on rapid feedback loops, like materials science and financial modeling, this represents a pathway to significantly enhanced performance.
The implications extend beyond quantum computing itself, promising to accelerate the convergence of AI and quantum technologies at the Illinois Quantum & Microelectronics Park and beyond. Infleqtion’s work, alongside NVIDIA, is building the infrastructure needed to support increasingly sophisticated hybrid quantum-classical workflows.
