In this analyst roundup from HPE World Quantum Day 2026, theCUBE's Dave Vellante and Paul Gillin, enterprise editor at SiliconANGLE, examine what quantum computing's shift from research curiosity to enterprise complement means for organizations navigating the next era of HPC, AI and hybrid computing. Drawing on theCUBE's global series of conversations with institutions including Oak Ridge National Lab, Argonne, Lawrence Livermore, Leibniz in Germany, CSC in Finland and Pawsey in Australia, the pair establish a clear through-line: quantum is not replacing classical HPC or AI, but augmenting both. Gillin highlights that error correction remains one of quantum's most persistent technical hurdles — fragile qubits are prone to cascading failures that classical computing resolved decades ago — while the field continues to fragment across at least half a dozen distinct hardware architectures with no dominant approach in sight.

The conversation also explores the global and sovereign dimensions of quantum investment, where regional research agendas are driving both competition and collaboration across Europe, Australia and the US. Finland's CSC is advancing the LUMI-Q project to democratize quantum access across nine European countries, while Pawsey in Australia is experimenting with room-temperature quantum systems built around synthetic diamonds — a potential breakthrough that could eliminate the extraordinary cooling infrastructure most quantum computers require today. Gillin underscores that the field's most urgent bottleneck may be software rather than hardware: quantum programming still requires working at the qubit level, and until a high-level abstraction — a "Python for quantum" — makes the technology accessible to non-physicists, broad adoption will remain out of reach. From the immediate threat of adversaries harvesting encrypted data today in anticipation of cracking it with future quantum systems, to emerging breakthroughs in molecular modeling, drug discovery and logistics optimization, Vellante and Gillin provide a clear-eyed view of where quantum stands — and why enterprises should begin preparing now.

This theCUBE Research interview explores the convergence of quantum computing with high-performance computing and artificial intelligence and its impact on materials research and fusion energy at Oak Ridge National Laboratory. The conversation at HPE World Quantum Day examines quantum-HPC integration, hybrid HPC AI quantum workflows and scaling challenges that affect the application of quantum processors to scientific discovery. Tom Beck of Oak Ridge National Laboratory serves as section head for science engagement and acting group leader for quantum-HPC. Beck brings a background in computational chemistry and physics and leads efforts to enable Frontier-class high-performance computing projects and early quantum use cases in materials and chemistry. They discuss how AI designs quantum circuits and assists error mitigation across scientific domains. Beck emphasizes quantum as a specialized accelerator that coexists with CPUs and GPUs and identifies error correction and I/O bandwidth as central challenges. They prioritize reducing the physical-to-logical qubit ratio and developing hybrid HPC AI quantum workflows. Beck describes a project supported by the Department of Energy that uses AI, HPC and quantum tools to design molten-salt materials and address tritium handling.

In this theCUBE Research interview, Paul Gillin of SiliconANGLE Media speaks with Laura Schulz of Argonne Leadership Computing Facility at Argonne National Laboratory about integrating quantum computing into high performance computing workflows. Schulz draws on a background in population genetics and leadership roles in supercomputing to discuss heterogeneous architectures, qubit modalities, software stacks and collaboration across laboratories and vendors. They examine early quantum accelerators and practical workflow integration for scientific users. Schulz identifies major challenges including qubit stability, error correction and the need for software abstraction so domain scientists need not program at the qubit level. They emphasize integrating quantum, artificial intelligence and high performance computing workflows and developing common open reference stacks as a potential Linux moment for quantum to broaden access. Analysts underscore the role of user facilities and cross-industry collaboration in accelerating practical applications. This interview provides insights for researchers engineers and technology leaders who evaluate quantum accelerators, quantum software and heterogeneous computing strategies. It highlights factors to consider for adoption including ecosystem standardization, vendor collaboration and user facility engagement.

Dr. Kristi Beck of Lawrence Livermore National Laboratory joins Paul Gillin of theCUBE Research to discuss quantum co-processing, error correction and workforce development in quantum computing. Beck presents the quantum computing stack, including device hardware, gate design and test-bed architecture, and explains the role of quantum systems as co-processors for high-performance computing; they discuss control, materials and software challenges across superconducting, ion and atom-based platforms. Beck emphasizes that quantum systems are most valuable as specialized co-processors for select workloads and that error correction remains a central platform-dependent challenge. They highlight Lawrence Livermore National Laboratory's quantum design and integration test bed for workforce training, the promise of quantum heuristics to bridge theory and hardware and cross-platform lessons that accelerate practical algorithm development. The conversation addresses implications for classical HPC and artificial intelligence and outlines strategies for workforce development, technology integration and industry collaboration.

In this theCUBE Research segment, Paul Gillin of theCUBE Research interviews Dr Pascal Elahi of Pawsey Supercomputing Research Centre, the quantum lead for Setonix‑Q. Elahi outlines Setonix‑Q's mission to integrate quantum technologies with the Cray supercomputer and Pawsey's high-performance computing environment, referred to as HPC, describes the deployment of a room-temperature diamond quantum system from Quantum Brilliance and explains hybrid quantum-classical workflows and national efforts to democratize access to quantum resources in Australia. They highlight applications in jet engine design, machine learning and large-scale simulation. Elahi emphasizes that quantum systems complement rather than replace classical high-performance computing and that hybrid quantum-classical workflows are essential for tackling intractable optimization and certain machine learning challenges. They stress democratizing access through Setonix‑Q, validating noisy intermediate-scale devices and using Pawsey's supercomputing resources to simulate test and co-design quantum algorithms with domain researchers. The discussion also covers implications for artificial intelligence, AI and outlines factors to consider for co-design, validation and deployment across scientific domains.

This interview examines integration of quantum computing into European supercomputing through projects such as Euro‑Q‑Exa, CLARA and LRZ's hybrid high-performance computing strategy. The conversation occurs at Hewlett Packard Enterprise World Quantum Day and is presented by Dave Vellante of theCUBE Research. Dieter Kranzlmueller of Leibniz Supercomputing Centre, chair of the board of directors, outlines LRZ's mission and the role of Euro‑Q‑Exa and CLARA in advancing computational science. Kranzlmueller describes hybrid HPC integration, Blue Lion system design, quantum accelerators within workflows and the impact of interdisciplinary ecosystems on research in fields such as brain science and personalized medicine. They emphasize technical independence and a diversified portfolio of quantum technologies to support European sovereignty. Kranzlmueller recommends routing jobs between supercomputers and quantum accelerators based on performance and cost and urges organizations to engage with quantum technologies now. Analyst commentary from theCUBE Research underscores urgency around post‑quantum cryptography preparedness and the need for collaborative cross-discipline ecosystems. The discussion also considers applications of artificial intelligence within HPC and quantum workflows.

Hybrid supercomputing and quantum research enable European researchers to explore hybrid workflows and quantum-enhanced simulations. Dr. Mikael Johansson of CSC — IT Center for Science appears in a theCUBE Research interview with Paul Gillin of theCUBE. The discussion is recorded for HPE World Quantum Day and covers the LUMI-Q consortium, EuroHPC collaborations and CSC's role in deploying hybrid high-performance computing and quantum computing services for European researchers. Johansson leads CSC's quantum technologies efforts and discusses LUMI-Q, EuroHPC collaborations and the integration of quantum platforms with classical supercomputers. They explain CSC's role in enabling researchers to test hybrid high-performance computing and quantum computing workflows, the LUMI AI Factory and artificial intelligence and AI applications within scientific computing. Johansson states the most promising near-term quantum advantages lie in quantum-enhanced simulations for chemistry and materials and in optimization tasks such as financial risk and portfolio optimization. They emphasize a hybrid model that retains classical high-performance computing for large-scale workloads while offloading quantum-suitable subproblems. Johansson notes that diverse quantum architectures will coexist and that progress in quantum computing proceeds steadily rather than arriving as a single breakthrough moment. -Q

This interview examines integration of quantum processors with high performance computing, HPC, focusing on middleware, workflows and system challenges. Amir Shehata of Oak Ridge National Laboratory explains middleware design, cross-stack coordination and approaches to hybrid quantum-classical applications. Shehata discusses the OpenQSE initiative, handling diverse qubit modalities, timing and latency constraints and the role of the Lustre file system in data workflows and they emphasize the importance of preparing software teams for integration now rather than waiting. Key takeaways: Shehata identifies robust error correction as the pivotal milestone toward useful quantum advantage. They highlight OpenQSE's effort to define interoperable specifications, the need for middleware that supports varying hardware timing and the likely role of Lustre and classical telemetry for syndrome data and artificial intelligence, AI driven error-correction workflows. Recorded as part of theCUBE's World Quantum Day coverage and presented by Hewlett Packard Enterprise