HPE has introduced that it has expanded its collaborations with eight quantum know-how firms as it really works to develop hybrid computing environments that mix high-performance computing (HPC) and quantum methods. The hassle is designed to speed up the event of sensible classical-quantum workflows and help future large-scale scientific and industrial purposes.
Constructing on its place as a world chief in HPC, the place it’s the builder of the three quickest exascale supercomputers on the earth, as verified by the November 2025 TOP500 listing, HPE is specializing in the infrastructure required to combine rising quantum applied sciences into current supercomputing environments. The corporate is working with companions spanning quantum processing, quantum management, and quantum error correction to create hybrid architectures that leverage each classical and quantum assets.
The hassle goals to maneuver quantum computing past analysis environments and towards operational use circumstances by coupling quantum applied sciences with established HPC infrastructure. “By bringing supercomputing and quantum applied sciences collectively in a hybrid platform, we’ll speed up the transition from analysis to real-world software,” mentioned Trish Damkroger, senior vp and normal supervisor, HPC & AI Infrastructure Options at HPE. “Our new strategic collaborations will lengthen world-class HPC infrastructure to make quantum accessible, scalable, and operational.”
Constructing a Full-Stack Hybrid Quantum Platform
HPE’s expanded ecosystem consists of Intel, IQM, Qblox, Quantinuum, QuEra Computing, Quantum Machines, Rigetti, and Riverlane. Collectively, the businesses are creating a full-stack hybrid quantum supercomputing platform that helps a number of quantum {hardware} approaches and allows nearer integration with HPC and AI environments.
The collaborations are anticipated to deal with built-in testbeds for hybrid algorithm co-design, software program interoperability, and system-level efficiency benchmarking throughout HPC and AI environments. These environments will permit researchers and builders to guage how quantum methods can work alongside conventional supercomputers and AI infrastructure whereas measuring application-level efficiency throughout totally different architectures.
Supporting A number of Quantum Modalities
A key facet of the initiative is help for a number of quantum computing modalities fairly than a single {hardware} strategy. HPE is working throughout neutral-atom, ion-trap, superconducting, and silicon-spin qubit applied sciences, whereas additionally incorporating quantum management and error-correction platforms.
By supporting a various set of quantum architectures, HPE goals to assist researchers consider know-how trade-offs and determine the best approaches for particular workloads. The built-in environments can even help the event, testing, and benchmarking of hybrid quantum purposes operating alongside HPC and AI methods.
Increasing Hybrid Computing Capabilities
The expanded partnerships mirror a broader business effort to attach quantum applied sciences with established supercomputing infrastructure fairly than treating them as standalone methods. HPE’s technique facilities on integrating quantum assets into current HPC environments, enabling hybrid workflows that leverage each classical and quantum processing capabilities.
As quantum applied sciences proceed to mature, hybrid architectures are anticipated to play a big function in scientific analysis, nationwide safety purposes, and industrial computing workloads that require capabilities past these accessible from classical methods alone.
See It at HPE Uncover
Attendees can discover hybrid classical-quantum computing at HPE Uncover demo #629 on the present flooring, or attend both of two quantum classes in the course of the week.
“The way forward for AI and quantum within the public sector” runs June 16 from 1:00 to 1:45 p.m. PT in Titan 2303 (session PNL P1604). “The subsequent leap: Innovating with quantum, agentic AI, and HPC” runs June 17 from 12:15 to 1:15 p.m. PT in Titan 2201a (session TB1394).
