Quantinuum and SoftBank Publish White Paper on Quantum Computing Use Cases
Quantinuum and SoftBank Corp. have jointly released a white paper detailing commercially relevant quantum computing use cases. The report assesses how advancements in quantum hardware and algorithms will affect the timeline for industrial applications.

Quantinuum and SoftBank Corp. have published a joint white paper, "Quantum Computing Frontiers," exploring the commercial potential of quantum computing. The document outlines specific application areas where quantum computation can provide business value.
The white paper focuses on two key areas: quantum chemistry, which can be applied to discover new materials and research energy solutions, and graph analytics, used for large-scale computation tasks such as fraud detection in telecommunications. The report evaluates how progress in quantum hardware and quantum algorithms will influence the timeline for these applications to become commercially viable.
Furthermore, the publication examines the integration of quantum computing, artificial intelligence (AI), and high-performance computing into future IT infrastructures. The document presents a framework for understanding the potential market evolution and future technological steps.
"Companies do not need to wait for large-scale, fault-tolerant systems to be in place to begin exploring areas where quantum computing can create value," said Duncan Jones, General Manager, Applications at Quantinuum. "By using current systems to develop and refine applications in fields like quantum chemistry and graph analytics, companies can build the technical and operational capabilities needed for the next era of quantum computing."
"The question is no longer if quantum computing can deliver added value, but rather which categories of problems will be solved and at what stage of hardware maturity," commented Ryuji Wakikawa, Senior Vice President and CTO at SoftBank Corp. He emphasized, however, that progress in hardware must be matched by equivalent advancements in quantum algorithms and system integration with AI and high-performance computing.