HPE Targets Scalable Quantum Access via Eight Industry Collaborations

Hewlett Packard Enterprise is building toward scalable quantum computing through new collaborations with eight industry leaders: Intel, IQM, Qblox, Quantinuum, QuEra Computing, Quantum Machines, Rigetti, and Riverlane. These expanded relationships aim to integrate quantum systems with HPE’s high performance computing infrastructure, specifically the HPE Cray supercomputing platform, to accelerate the development of practical hybrid applications. HPE intends to combine classical and quantum computing, addressing complex challenges in science and industry. “By bringing supercomputing and quantum technologies together in a hybrid platform, we will accelerate the transition from research to real-world application,” said Trish Damkroger, senior vice president and general manager, HPC & AI Infrastructure Solutions at HPE, outlining the goal of these strategic partnerships.

HPE Cray Platform Integrates Diverse Quantum Modalities

This effort goes beyond simply adding quantum processors as accelerators; it is a concerted effort to develop a full-stack platform encompassing neutral atom, ion trap, superconducting, and silicon spin qubits, alongside crucial quantum error correction and control systems. HPE’s approach acknowledges that no single qubit modality will dominate, and that exploring architectural trade-offs is essential for realizing practical quantum advantage. The collaborations are designed to support the development of integrated testbeds for hybrid algorithm co-design, software interoperability, and system-level performance benchmarking across both HPC and artificial intelligence environments. The foundation for this undertaking is the HPE Cray supercomputing platform, which the company asserts uniquely positions it to advance quantum computing by providing the necessary HPC and networking infrastructure. HPE already builds three of the world’s fastest exascale supercomputers, as verified by the November 2025 TOP500 list, demonstrating a proven capability in delivering high-performance computing at scale.

This existing infrastructure is integral to enabling the hybrid application workflows that are central to HPE’s quantum strategy, and is not merely a supporting element. The company is actively working to ensure seamless integration between classical HPC, AI, and emerging quantum technologies, aiming to drive progress in scientific discovery, national security, and industrial innovation. This focus on practical deployment is reflected in the emphasis on benchmarking quantum application workloads running on existing HPC systems and AI factories. HPE is investing in the hardware and software components of a hybrid quantum supercomputer, and in building a community dedicated to practical innovation, fostering a shared understanding of the challenges and opportunities presented by this rapidly evolving field.

As verified by the November 2025 TOP500 list, HPE is the builder of the three fastest exascale supercomputers in the world.

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Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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