Alice & Bob and Hyperion Research outline HPC–quantum–AI integration requirements, shifting competition to system integration

【Article Title】 Alice & Bob and Hyperion Research outline HPC–quantum–AI integration requirements, shifting competition to system integration 【Article Body】 AI TRANSLATION This article is an AI-generated translation of the original Japanese article. For the authoritative version, please refer to the original. Read the original Japanese article → (https://quantumindex.jp/alice-bob-hpc-quantum-ai-full-stack-report/) Alice & Bob and Hyperion Research have published a report summarizing requirements for integrating HPC, quantum, and AI. Based on interviews with 15 stakeholders from major supercomputing organizations, the report argues that a quantum processorquantum processorQuantum Processor / Quantum Processor / Quantum Processing Unit / QPUThe central part of the hardware that houses qubits and performs quantum computational operations such as quantum gates and measurements.QI NoteThe performance of a QPU cannot be judged by the number of qubits alone. Gate fidelity, connectivity, speed, error rates, and other factors must be considered together.’s value depends not only on qubitqubitQubit / Quantum Bit / QubitThe basic unit of information in a quantum computer. It can represent not only 0 or 1 but also a quantum state that is a superposition of them.QI NoteHaving more qubits does not necessarily mean higher performance. Error rates, connectivity, coherence time, and the number of logical qubits are also important. count but on the overall system: software, hybrid workflows, and operational capabilities. ✍️ Quantum Index Analysis The technical and commercial implications behind this announcement, and the evaluation points that are not obvious from numbers or headlines alone. Read our analysis ↓ Summary of the announcement The report, “HPC-Quantum-AI: Shaping the Next Compute Era,” was compiled from interviews with leaders and engineers at supercomputing organizations across Europe, the Asia–Pacific region, and the United States. Interviewees included personnel from Argonne National Laboratory, Lawrence Berkeley National Laboratory/NERSC, Oak Ridge National Laboratory, and RIKEN. As priorities, the report recommended empirically measuring how tightly quantum, classical, and AI computations need to be connected; establishing open standards in a software layer that is independent of qubit technology; and co-designing workflows between HPC/AI specialists and quantum vendors. For connection approaches, it suggested measuring the latency tolerances of individual workloads as a decision criterion. On the software side, it proposed standardization of device management and job submission, while maintaining competition in compilers and programming models. The report also discussed the importance of on-premises deployments that allow centers to operate quantum machines themselves and accumulate integration experience. Key points • The report is based on interviews with 15 leaders, quantum program managers, and engineers at major supercomputing organizations. • It recommends measuring workload latency tolerances to determine appropriate coupling between quantum, classical, and AI computation. • It proposes open standards for device management and job submission, while preserving competition in compilers and programming models. • As a co-design example, the report introduces a quantum chemistry workflow targeting a 10,000× speedup. • It warns that failures from early deployment of immature stacks could undermine confidence in quantum computing within the HPC community. Technical and commercial implications Technically, the report frames evaluation as a holistic affair: not only the performance of fault-tolerant quantum hardware but also connection latency, job management, software standards, and application design should be considered together. Commercially, it suggests that HPC centers that accumulate operational experience via testbeds and on-premises environments will have an advantage when adopting early fault-tolerant quantum machines. However, the report does not specify commercialization timelines, costs, or demonstrated performance results, so its recommendations should be treated separately from proven outcomes. What to watch next Going forward, the focus will be whether actual workloads can be used to measure latency between quantum, classical, and AI components and enable comparison of connection approaches. It will also be important to see whether common specifications for device management and job submission are concretized, whether comparative results support the claimed acceleration targets of jointly designed quantum chemistry workflows, and whether on-premises deployment cases, costs, and availability timelines for commercialization are disclosed. ✍️ Quantum Index Analysis The key significance of this report is not that it proposes a new performance metric for quantum computers, but that it organizes the conditions for a “usable QPUQPUQuantum Processor / Quantum Processor / Quantum Processing Unit / QPUThe central part of the hardware that houses qubits and performs quantum computational operations such as quantum gates and measurements.QI NoteThe performance of a QPU cannot be judged by the number of qubits alone. Gate fidelity, connectivity, speed, error rates, and other factors must be considered together.” from the HPC perspective. It argues that evaluation should include not only qubitqubitQubit / Quantum Bit / QubitThe basic unit of information in a quantum computer. It can represent not only 0 or 1 but also a quantum state that is a superposition of them.QI NoteHaving more qubits does not necessarily mean higher performance. Error rates, connectivity, coherence time, and the number of logical qubits are also important. count but also connection latency, job management, software standards, on-premises operation, and application design. That said, although the report is based on interviews with 15 HPC stakeholders, its findings should not be read as the unanimous view of the entire industry. Choices about whom to interview, which responses to highlight, and which recommendations to emphasize inevitably reflect the editors’ judgments. In particular, the emphasis on “tight integration with HPC,” “on-premises operational experience,” and “hybrid workflows” aligns with Alice & Bob’s business strategy of targeting QPU deployment in HPC environments, so it would be too strong to interpret the experts’ input as blanket endorsement of that company’s strategy. At the same time, dismissing this direction as merely Alice & Bob’s position would also be inaccurate. IBM has been promoting “Quantum-Centric Supercomputing,” operating QPUs, CPUs, and GPUs as an integrated platform, and RIKEN has been building a quantum–HPC collaboration foundation connecting ROQUO, Fugaku, IBM Quantum System Two (“ibm_kobe”), and Quantinuum’s “Reimei.” In the Cleveland Clinic–RIKEN–IBM chemistry work, QPUs were combined with multiple supercomputers to handle a 12,635-atom protein system, and ROQUO has progressed to automating workflows that span multiple quantum and classical compute resources. In other words, this report is less a presentation of a brand-new market and more a整理 of requirements from the HPC operators’ perspective for an ongoing trend: treating QPUs not as standalone machines but as one of several heterogeneous accelerators within HPC. Beyond competition on quantum hardware performance, a new axis of competition will be how low-latency and user-friendly QPUs can be integrated into existing CPU/GPU environments and demonstrate value in real scientific workflows. For Alice & Bob, the relevant question is less the report’s recommendations themselves than how far they can implement them in their own systems. Specific HPC integration performance—including connection latency and job management—actual deployments at supercomputing centers, and how they differentiate against companies like IBM and Quantinuum, which have already begun building integration track records, will be key evaluation factors moving forward. NETWORKSee the industry network around Alice & Bob → (/qi-network/) Related articles • Cleveland Clinic, RIKEN and IBM shortlisted for Gordon Bell Prize for quantum–HPC chemistry; handled a 12,635‑atom system (https://en.quantumindex.jp/cleveland-clinic-riken-ibm-gordon-bell-finalists-2026/) • Ranking: 29 quantum computing companies’ capabilities and prospects (Summer 2026) (https://en.quantumindex.jp/top-29-quantum-companies-ranking-summer-2026/) • Alice & Bob joins QuBriC, a European doctoral network focused on quantum error correction (https://en.quantumindex.jp/alice-bob-joins-qubric-qec-doctoral-network/) • Alice & Bob unveils on‑premises quantum system “Helium” with 18‑cat qubits (https://en.quantumindex.jp/alice-bob-helium-quantum-system/) Source Read the original announcement (https://alice-bob.com/newsroom/hpc-quantum-report/) If you found this article useful, please consider sharing it. ──────────────────── 【AI Evaluation Request】 Evaluate the following article critically, not based on the quality of its writing, but on its **original informational value as a specialist publication**. Do not give a high rating to summaries, paraphrases, explanations of technical terms, or generic observations such as "this will be worth watching" or "the timeline remains uncertain" if they could easily be produced by a general-purpose generative AI, even if they are well written. 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Alice & Bob and Hyperion Research have published a report summarizing requirements for integrating HPC, quantum, and AI. Based on interviews with 15 stakeholders from major supercomputing organizations, the report argues that a quantum processorquantum processorQuantum Processor / Quantum Processor / Quantum Processing Unit / QPUThe central part of the hardware that houses qubits and performs quantum computational operations such as quantum gates and measurements.QI NoteThe performance of a QPU cannot be judged by the number of qubits alone. Gate fidelity, connectivity, speed, error rates, and other factors must be considered together.’s value depends not only on qubitqubitQubit / Quantum Bit / QubitThe basic unit of information in a quantum computer. It can represent not only 0 or 1 but also a quantum state that is a superposition of them.QI NoteHaving more qubits does not necessarily mean higher performance. Error rates, connectivity, coherence time, and the number of logical qubits are also important. count but on the overall system: software, hybrid workflows, and operational capabilities.

Summary of the announcement

The report, “HPC-Quantum-AI: Shaping the Next Compute Era,” was compiled from interviews with leaders and engineers at supercomputing organizations across Europe, the Asia–Pacific region, and the United States. Interviewees included personnel from Argonne National Laboratory, Lawrence Berkeley National Laboratory/NERSC, Oak Ridge National Laboratory, and RIKEN. As priorities, the report recommended empirically measuring how tightly quantum, classical, and AI computations need to be connected; establishing open standards in a software layer that is independent of qubit technology; and co-designing workflows between HPC/AI specialists and quantum vendors. For connection approaches, it suggested measuring the latency tolerances of individual workloads as a decision criterion. On the software side, it proposed standardization of device management and job submission, while maintaining competition in compilers and programming models. The report also discussed the importance of on-premises deployments that allow centers to operate quantum machines themselves and accumulate integration experience.

Key points

• The report is based on interviews with 15 leaders, quantum program managers, and engineers at major supercomputing organizations.
• It recommends measuring workload latency tolerances to determine appropriate coupling between quantum, classical, and AI computation.
• It proposes open standards for device management and job submission, while preserving competition in compilers and programming models.
• As a co-design example, the report introduces a quantum chemistry workflow targeting a 10,000× speedup.
• It warns that failures from early deployment of immature stacks could undermine confidence in quantum computing within the HPC community.

Technical and commercial implications

Technically, the report frames evaluation as a holistic affair: not only the performance of fault-tolerant quantum hardware but also connection latency, job management, software standards, and application design should be considered together. Commercially, it suggests that HPC centers that accumulate operational experience via testbeds and on-premises environments will have an advantage when adopting early fault-tolerant quantum machines. However, the report does not specify commercialization timelines, costs, or demonstrated performance results, so its recommendations should be treated separately from proven outcomes.

What to watch next

Going forward, the focus will be whether actual workloads can be used to measure latency between quantum, classical, and AI components and enable comparison of connection approaches. It will also be important to see whether common specifications for device management and job submission are concretized, whether comparative results support the claimed acceleration targets of jointly designed quantum chemistry workflows, and whether on-premises deployment cases, costs, and availability timelines for commercialization are disclosed.

✍️ Quantum Index Analysis

The key significance of this report is not that it proposes a new performance metric for quantum computers, but that it organizes the conditions for a “usable QPUQPUQuantum Processor / Quantum Processor / Quantum Processing Unit / QPUThe central part of the hardware that houses qubits and performs quantum computational operations such as quantum gates and measurements.QI NoteThe performance of a QPU cannot be judged by the number of qubits alone. Gate fidelity, connectivity, speed, error rates, and other factors must be considered together.” from the HPC perspective. It argues that evaluation should include not only qubitqubitQubit / Quantum Bit / QubitThe basic unit of information in a quantum computer. It can represent not only 0 or 1 but also a quantum state that is a superposition of them.QI NoteHaving more qubits does not necessarily mean higher performance. Error rates, connectivity, coherence time, and the number of logical qubits are also important. count but also connection latency, job management, software standards, on-premises operation, and application design.

That said, although the report is based on interviews with 15 HPC stakeholders, its findings should not be read as the unanimous view of the entire industry. Choices about whom to interview, which responses to highlight, and which recommendations to emphasize inevitably reflect the editors’ judgments. In particular, the emphasis on “tight integration with HPC,” “on-premises operational experience,” and “hybrid workflows” aligns with Alice & Bob’s business strategy of targeting QPU deployment in HPC environments, so it would be too strong to interpret the experts’ input as blanket endorsement of that company’s strategy.

At the same time, dismissing this direction as merely Alice & Bob’s position would also be inaccurate. IBM has been promoting “Quantum-Centric Supercomputing,” operating QPUs, CPUs, and GPUs as an integrated platform, and RIKEN has been building a quantum–HPC collaboration foundation connecting ROQUO, Fugaku, IBM Quantum System Two (“ibm_kobe”), and Quantinuum’s “Reimei.” In the Cleveland Clinic–RIKEN–IBM chemistry work, QPUs were combined with multiple supercomputers to handle a 12,635-atom protein system, and ROQUO has progressed to automating workflows that span multiple quantum and classical compute resources.

In other words, this report is less a presentation of a brand-new market and more a整理 of requirements from the HPC operators’ perspective for an ongoing trend: treating QPUs not as standalone machines but as one of several heterogeneous accelerators within HPC. Beyond competition on quantum hardware performance, a new axis of competition will be how low-latency and user-friendly QPUs can be integrated into existing CPU/GPU environments and demonstrate value in real scientific workflows.

For Alice & Bob, the relevant question is less the report’s recommendations themselves than how far they can implement them in their own systems. Specific HPC integration performance—including connection latency and job management—actual deployments at supercomputing centers, and how they differentiate against companies like IBM and Quantinuum, which have already begun building integration track records, will be key evaluation factors moving forward.

NETWORKSee the industry network around Alice & Bob →

Related articles

• Cleveland Clinic, RIKEN and IBM shortlisted for Gordon Bell Prize for quantum–HPC chemistry; handled a 12,635‑atom system
• Ranking: 29 quantum computing companies’ capabilities and prospects (Summer 2026)
• Alice & Bob joins QuBriC, a European doctoral network focused on quantum error correction
• Alice & Bob unveils on‑premises quantum system “Helium” with 18‑cat qubits

Source

Read the original announcement