QunaSys’ QURI SDK Enterprise adopted for RIKEN’s JHPC-quantum platform

【Article Title】 QunaSys’ QURI SDK Enterprise adopted for RIKEN’s JHPC-quantum platform 【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/qunasys-quri-sdk-enterprise-jhpc-quantum/) QunaSys announced that its quantum software development kit, QURI SDK Enterprise, has been formally adopted for RIKEN’s quantum–HPC integration platform. Users of the NEDO-commissioned project “JHPC-quantum” will be able to access multiple quantum devices from supercomputers such as Fugaku. ✍️ Quantum Index Analysis We explain the technical and business significance behind the announcement and evaluation points that are not obvious from numbers or headlines alone. Read our exclusive analysis ↓ Summary JHPC-quantum is a project that links quantum computers and supercomputers to demonstrate application utility and quantum advantagequantum advantage量子優位性 / Quantum Advantage / Quantum Computational AdvantageFor a particular problem, a quantum computer demonstrates a practical advantage over classical computation in terms of speed, accuracy, cost, etc.QI NoteNot necessarily synonymous with "quantum supremacy"; the term is often used to include practical usefulness. When evaluating claims, check the classical methods used for comparison and the evaluation metrics.. The adopted QURI SDK Enterprise supports RIKEN Center for Computational Science’s IBM Quantum System Two “ibm_kobe” and the ion-trap quantum computerion-trap quantum computerTrapped-Ion Quantum Computer / Trapped-Ion Quantum Computer / Trapped-Ion Quantum ComputingAn approach that uses the internal states of ions trapped by electric fields as qubits, and implements quantum gates using lasers and similar tools.QI NoteCharacterized by high operational precision and long coherence times, but there are separate challenges for speed and large-scale integration. It is important not to compare architectures based on a single metric alone. “Reimei” (Quantinuum System Model H2) at RIKEN’s Wako campus. In the HPC environment, users can access Fugaku’s compute and pre/post nodes as well as the GPU supercomputer ROQUO, which is equipped with NVIDIA GB200 NVL4. The SDK includes quantum–HPC hybrid algorithms such as QSCI and ADAPT-QSCI and supports computations for quantum chemistry, materials science, and CAE. Quantum-circuit simulation supports distributed parallel execution via MPI. Fugaku uses an mpiQulacs backend, while ROQUO uses a cuQuantum-based backend, enabling computations across multiple nodes and processors. RIKEN cites strong demand from the test-user program as the reason for the adoption. Key points • QURI SDK Enterprise has been formally adopted for the JHPC-quantum quantum–HPC integration platform • Supports IBM Quantum System Two “ibm_kobe” and Quantinuum System Model H2 “Reimei” • Allows access to quantum devices from Fugaku and the GPU supercomputer ROQUO • Includes QSCI and ADAPT-QSCI, supporting development for quantum chemistry, materials science, and CAE • Supports MPI-based distributed parallel simulation, enabling quantum circuits beyond single-node scale Technical and business significance Being able to handle different types of quantum devices and multiple HPC environments from a single SDK makes it easier to standardize development procedures for quantum–HPC hybrid computing. The combination of real-device access and large-scale distributed simulation is technically significant as a foundation for algorithm validation in quantum chemistry, materials science, and CAE. From a business perspective, the formal adoption driven by test-user demand represents a case where QunaSys’ enterprise SDK for companies and research institutions has been integrated into a public research project’s operational environment. However, the announcement does not specify concrete performance improvements, achievement of quantum advantage, or timelines for commercialization. Points to watch going forward Going forward, comparative results for scale, accuracy, and run time when running QSCI and ADAPT-QSCI on real devices versus HPC will be important. In addition to whether concrete use cases appear in quantum chemistry, materials science, and CAE, it will be important to observe expansions in supported quantum devices and HPC environments. Another focus is whether test-user use grows into full research and industry applications and how the collaboration between RIKEN and QunaSys will be concretely realized. ✍️ Quantum Index Analysis The adoption confirms only that QURI SDK Enterprise has been incorporated into JHPC-quantum’s research and demonstration platform. RIKEN cites strong demand from test users as the reason for the adoption. At present, the primary users are participants in JHPC-quantum, and QURI SDK will be particularly attractive to users who need algorithms implemented by QunaSys, such as QSCI and ADAPT-QSCI. However, multi-hardware support and hybrid quantum–classical workflows are also available in other SDKs and development platforms, and researchers with development assets in existing frameworks like Qiskit may face migration or parallel-use costs. No information has been provided on post-project usage terms, Enterprise pricing, or prospects for continued use. What will determine future evaluation is not simply adoption within the national project but whether QURI’s unique algorithms and features are actually used to a degree that users are willing to pay to continue selecting the SDK after the project ends. NETWORKSee QunaSys’s industry network → (/qi-network/) Related articles • IBM expands quantum optimization benchmark “QOBLIB,” aggregating over 2,000 results (https://en.quantumindex.jp/ibm-qoblib-quantum-optimization-benchmark/) • Quantinuum and Oracle partner to offer quantum services on OCI; Helios placed in an AI data center (https://en.quantumindex.jp/quantinuum-oracle-helios-oci-quantum-service/) Source Read the original announcement (https://qunasys.com/news/posts/20260903-project-ai-jp) 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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However, do not give an S rating merely because the article contains a large amount of information, covers many subjects, or uses extensive technical terminology. In particular, consider the following points. * Does the article contain information or perspectives that would be difficult to obtain simply by reading the original announcement? * Does it contain comparisons, reasoning, verification, or evaluation specific to the subject? * Does it integrate multiple pieces of information to provide a new understanding or broader picture? * Could the content easily be produced by a general-purpose generative AI? * Are you avoiding giving a high rating merely because the article uses technical terminology or headings such as "Analysis" or "Key Points"? In your response, first briefly show the **S–D rating scale above**, and then clearly indicate **where this article falls within that scale**. 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QunaSys announced that its quantum software development kit, QURI SDK Enterprise, has been formally adopted for RIKEN’s quantum–HPC integration platform. Users of the NEDO-commissioned project “JHPC-quantum” will be able to access multiple quantum devices from supercomputers such as Fugaku.

Summary

JHPC-quantum is a project that links quantum computers and supercomputers to demonstrate application utility and quantum advantagequantum advantage量子優位性 / Quantum Advantage / Quantum Computational AdvantageFor a particular problem, a quantum computer demonstrates a practical advantage over classical computation in terms of speed, accuracy, cost, etc.QI NoteNot necessarily synonymous with "quantum supremacy"; the term is often used to include practical usefulness. When evaluating claims, check the classical methods used for comparison and the evaluation metrics.. The adopted QURI SDK Enterprise supports RIKEN Center for Computational Science’s IBM Quantum System Two “ibm_kobe” and the ion-trap quantum computerion-trap quantum computerTrapped-Ion Quantum Computer / Trapped-Ion Quantum Computer / Trapped-Ion Quantum ComputingAn approach that uses the internal states of ions trapped by electric fields as qubits, and implements quantum gates using lasers and similar tools.QI NoteCharacterized by high operational precision and long coherence times, but there are separate challenges for speed and large-scale integration. It is important not to compare architectures based on a single metric alone. “Reimei” (Quantinuum System Model H2) at RIKEN’s Wako campus. In the HPC environment, users can access Fugaku’s compute and pre/post nodes as well as the GPU supercomputer ROQUO, which is equipped with NVIDIA GB200 NVL4. The SDK includes quantum–HPC hybrid algorithms such as QSCI and ADAPT-QSCI and supports computations for quantum chemistry, materials science, and CAE. Quantum-circuit simulation supports distributed parallel execution via MPI. Fugaku uses an mpiQulacs backend, while ROQUO uses a cuQuantum-based backend, enabling computations across multiple nodes and processors. RIKEN cites strong demand from the test-user program as the reason for the adoption.

Key points

• QURI SDK Enterprise has been formally adopted for the JHPC-quantum quantum–HPC integration platform
• Supports IBM Quantum System Two “ibm_kobe” and Quantinuum System Model H2 “Reimei”
• Allows access to quantum devices from Fugaku and the GPU supercomputer ROQUO
• Includes QSCI and ADAPT-QSCI, supporting development for quantum chemistry, materials science, and CAE
• Supports MPI-based distributed parallel simulation, enabling quantum circuits beyond single-node scale

Technical and business significance

Being able to handle different types of quantum devices and multiple HPC environments from a single SDK makes it easier to standardize development procedures for quantum–HPC hybrid computing. The combination of real-device access and large-scale distributed simulation is technically significant as a foundation for algorithm validation in quantum chemistry, materials science, and CAE. From a business perspective, the formal adoption driven by test-user demand represents a case where QunaSys’ enterprise SDK for companies and research institutions has been integrated into a public research project’s operational environment. However, the announcement does not specify concrete performance improvements, achievement of quantum advantage, or timelines for commercialization.

Points to watch going forward

Going forward, comparative results for scale, accuracy, and run time when running QSCI and ADAPT-QSCI on real devices versus HPC will be important. In addition to whether concrete use cases appear in quantum chemistry, materials science, and CAE, it will be important to observe expansions in supported quantum devices and HPC environments. Another focus is whether test-user use grows into full research and industry applications and how the collaboration between RIKEN and QunaSys will be concretely realized.

✍️ Quantum Index Analysis

The adoption confirms only that QURI SDK Enterprise has been incorporated into JHPC-quantum’s research and demonstration platform. RIKEN cites strong demand from test users as the reason for the adoption.

At present, the primary users are participants in JHPC-quantum, and QURI SDK will be particularly attractive to users who need algorithms implemented by QunaSys, such as QSCI and ADAPT-QSCI. However, multi-hardware support and hybrid quantum–classical workflows are also available in other SDKs and development platforms, and researchers with development assets in existing frameworks like Qiskit may face migration or parallel-use costs.

No information has been provided on post-project usage terms, Enterprise pricing, or prospects for continued use. What will determine future evaluation is not simply adoption within the national project but whether QURI’s unique algorithms and features are actually used to a degree that users are willing to pay to continue selecting the SDK after the project ends.

NETWORKSee QunaSys’s industry network →

Related articles

• IBM expands quantum optimization benchmark “QOBLIB,” aggregating over 2,000 results
• Quantinuum and Oracle partner to offer quantum services on OCI; Helios placed in an AI data center

Source

Read the original announcement