RIKEN discusses a 2023–2028 effort to make quantum processors usable alongside national supercomputers by connecting QPUs and HPC through a shared software layer, not a bespoke hardware interconnect. The aim is a hybrid execution model: classical nodes do orchestration, data prep, and iterative optimization, while quantum backends are invoked only for specific kernels where they may help even in the error-prone NISQ era of compute. https://www.r-ccs.riken.jp/en/
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A key detail is heterogeneity by design. RIKEN is linking a superconducting IBM system (IBM Quantum System Two powered by the 156-qubit Heron processor) with a trapped-ion machine from Quantinuum (Reimei / H-Series), and treating both as callable resources. The HPC side centers on Fugaku in Kobe, with connectivity intended to extend to other Japanese university clusters, so one application can target multiple quantum and classical backends through one software stack.
The practical question becomes where hybrid actually pays off. Many steps stay classical—linear algebra, tensor contractions, gradient updates, Monte-Carlo control, pre/post-processing—while quantum calls are explored for sampling, quantum simulation, and certain optimization motifs (VQE, QAOA, Hamiltonian dynamics, probabilistic inference). That shifts attention to compilation/transpilation, circuit batching to manage latency, error mitigation, and careful benchmarking so performance claims stay grounded.
To future-proof the work, the project emphasizes an interface/protocol layer (often described as an SQC interface) that standardizes job submission, QPU selection, scheduling, authentication, and telemetry across both HPC schedulers and quantum control planes. RIKEN also mentions a test-user program to surface integration issues early—API semantics, queueing behavior, data movement, reproducibility, and measurement statistics—so future supercomputers and future quantum machines can plug in with minimal rework at scale.
Filmed at Supercomputing SC25 in St. Louis, the chat also hints at the talent pipeline: students stopping by, and the growing need for people who understand compiler stacks, numerical methods, cryogenic constraints, and cluster operations in one mental model. The hybrid platform sits alongside Japan’s longer roadmap toward a post-Fugaku system around 2030, where tighter quantum-HPC coupling could widen the range of experiments that feel computationally in scope.
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