What’s new in IBM’s System Two for Quantum AI infrastructure?

IBM Quantum System Two introduces a modular architecture with scalable cryogenics, upgraded control electronics, and orchestration designed for multi-QPU operations. It’s engineered to integrate with classical servers for hybrid workloads, pushing quantum AI from lab pilots toward production environments.

How are cloud providers like AWS and Microsoft enabling quantum-classical hybrid workflows?

Services such as AWS Braket and Microsoft Azure Quantum offer managed simulators, hybrid job orchestration, and direct access to multiple QPU technologies. These platforms make it easier for AI teams to wrap classical pre/post-processing around quantum kernels, using familiar tooling and compliance frameworks.

What role does NVIDIA’s CUDA‑Q play in quantum AI infrastructure?

CUDA‑Q provides a programming environment to coordinate QPU calls with GPU-accelerated classical computation, supported by cuQuantum simulators for prototyping and optimization. This bridges quantum and AI stacks, allowing developers to test kernels at scale before deploying them to cloud QPUs.

Are quantum networks and security standards part of the current build-out?

Yes. Post-quantum cryptography standards from NIST are informing how enterprises secure data and model artifacts, while QKD pilots by vendors like Toshiba are being explored for hardened links between quantum facilities and cloud regions. These layers complement compute investments and address end-to-end infrastructure needs.

What should CIOs watch as they plan early quantum AI deployments?

Focus on vendor SLAs, interconnect options for co-location and cloud, error mitigation and correction techniques, and toolchain maturity across QPU access and classical orchestration. Analyst guidance suggests near-term wins will be in narrow domains where hybrid workflows can demonstrate measurable utility.

IBM’s System Two Goes Live as AWS Braket and NVIDIA CUDA‑Q Wire Quantum AI Into the Cloud

Quantum AI is shifting from lab demos to production-grade infrastructure. IBM’s modular System Two, AWS Braket upgrades, and NVIDIA’s CUDA‑Q toolchain are anchoring a hybrid backbone that ties QPUs into global data centers, with new facilities from IonQ and co-location moves at Equinix accelerating deployment.

Published: November 20, 2025 By Dr. Emily Watson Category: Quantum AI

IBM’s System Two Goes Live as AWS Braket and NVIDIA CUDA‑Q Wire Quantum AI Into the Cloud

A New Backbone for Quantum AI

IBM is pushing quantum AI infrastructure from pilot projects to production with its modular IBM Quantum System Two, designed to orchestrate multiple cryogenic quantum processing units (QPUs) alongside classical servers for hybrid workloads. The system pairs new control electronics with scalable cryostats and interconnects, laying the groundwork for multi-QPU operations that feed AI pipelines. IBM’s roadmap and facility expansions point to an enterprise-grade backbone for quantum AI workloads, with the platform’s launch detailed by IBM and covered by Reuters.

In parallel, Amazon Web Services’ AWS Braket has been upgrading its managed service to streamline access to trapped-ion, neutral atom, and superconducting QPUs via the cloud, integrating simulators and hybrid job orchestration so developers can pipeline classical pre/post-processing around quantum kernels. An emerging pattern is clear: large-scale infrastructure providers are embedding quantum resources into familiar cloud environments, reducing friction for AI teams and accelerating proofs-of-utility.

Data Centers, Cryogenics, and Co-Location

Hardware footprints are expanding. IonQ opened a dedicated manufacturing and operations facility in Bothell, Washington, to increase QPU production capacity and support enterprise deployments, positioning its photonic trapped-ion systems for broader availability via cloud and private connections. Meanwhile, Honeywell spinout Quantinuum continues to scale its H-Series trapped-ion systems with upgraded control stacks, targeting higher-fidelity gates that reduce error rates in real workloads.

Co-location strategies are also emerging to minimize latency and simplify enterprise integration. Oxford Quantum Circuits (OQC) has deployed a quantum computer inside Equinix data centers, enabling customers to access a QPU through standard interconnects alongside existing AI and HPC clusters. This model mirrors traditional high-performance computing rollouts, bringing QPUs physically closer to data and enabling hybrid quantum-classical workflows that adhere to corporate networking and compliance policies.

Hybrid Toolchains Tie QPUs to GPUs

On the software side, NVIDIA...

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