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\n Report concludes HPC community must prepare for early fault-tolerant quantum computing to accelerate current workloads and advance new solutions<\/p>\n
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\n Report concludes HPC community must prepare for early fault-tolerant quantum computing to accelerate current workloads and advance new solutions<\/p>\n
Alice & Bob,<\/a> a global leader in the race for fault-tolerant quantum computing, and Hyperion Research, the premier industry analysis and market intelligence firm for high performance computing (HPC), announced the release of a joint report detailing how early fault-tolerant quantum computing (eFTQC) will accelerate solutions in critical HPC applications beyond classical supercomputing capabilities within the next five years.<\/p>\n The study, \u201cSeizing Quantum\u2019s Edge: Why and How HPC Should Prepare for eFTQC,\u201d [link to study] provides guidance on how HPC professionals can investigate today in the design and integration of useful hybrid workflows for near-term applications. \u201cQuantum technologies are a pivotal opportunity for the HPC community, offering the potential to significantly accelerate a wide range of critical science and engineering applications in the near-term,\u201d said Bob Sorensen, Senior Vice President and Chief Analyst for Quantum Computing at Hyperion Research. \u201cHowever, these machines won\u2019t be plug-and-play, so HPC centers should begin preparing for integration now, ensuring they can both influence system design and gain early operational expertise.\u201d<\/p>\n Also Read:\u00a0AiThority Interview with Tim Morrs, CEO at SpeakUp<\/a><\/p>\n HPC centers should begin preparing for integration now, ensuring they can both influence system design and gain early operational expertise.\u201d<\/p>\n \u2014 Bob Sorensen, Sr VP & Chief Analyst, Quantum Computing at Hyperion Research<\/p>\n The report describes how physical limits on transistor size and chip energy capacity have considerably slowed performance gains in classical HPC systems in the past 10 years. Meanwhile, the timeline to useful quantum applications has shortened, as evidenced by the 1000x reduction in the estimated resources required to run Shor\u2019s algorithm.<\/p>\n In the next 5 years, the report projects that quantum computers with 100 to 1,000 logical qubits and a logical error rate between 10-6 and 10-10 will significantly accelerate scientific computing applications starting with materials science and rapidly reaching quantum chemistry and fusion energy simulations.<\/p>\n \u201cHPC users will see benefits in accuracy, time-to-solution and computational cost as hybrid HPC-quantum workflows shift some computationally complex subproblems to quantum processors,\u201d said Th\u00e9au Peronnin, CEO of Alice & Bob. \u201cHPC centers that want to lead have to co-design these hybrid workflows with users and vendors, shape efficient software and hardware infrastructure and deploy eFTQC prototypes to secure first-mover advantage.\u201d<\/p>\n The report describes how to integrate eFTQC, GPUs, and CPUs into an existing supercomputing center and includes recommendations for building application codes for HPC users, developing the hybrid software stack, and training the HPC user base for eFTQC adoption.<\/p>\n To establish a quantum-ready workforce and infrastructure and maximize the benefits of quantum processing, the report recommends that HPC centers explore heterogeneous workloads by collaborating with quantum vendors today.<\/p>\n \u201cThe HPC community has always been quick to adopt disruptive architectures \u2013 from vector processors to GPUs \u2013 and quantum computing is no exception,\u201d said Juliette Peyronnet, US General Manager at Alice & Bob, who co-authored the report. \u201cThis work is a call to action for HPC centers to begin preparing for eFTQC integration now, so they are ready to harness the next major HPC accelerator and task enabler.\u201d<\/p>\n Also Read:\u00a0Cognitive Product Design: Empowering Non-Technical Users Through Natural Language Interaction With AI-Native PLM<\/a><\/p>\n
According to the report, up to 50% of current HPC workloads at top U.S. government research institutions like Los Alamos National Laboratory, the National Energy Research Scientific Computing Center and U.S. Department of Energy leadership computing facilities could benefit from eFTQC .<\/p>\n