{"ID":2885617,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2508.04171","arxiv_id":"2508.04171","title":"Advantages of Co-locating Quantum-HPC Platforms: A Survey for Near-Future Industrial Applications","abstract":"We conducted a systematic survey of emerging quantum-HPC platforms, which integrate quantum computers and High-Performance Computing (HPC) systems through co-location. Currently, it remains unclear whether such platforms provide tangible benefits for near-future industrial applications. To address this, we examined the impact of co-location on latency reduction, bandwidth enhancement, and advanced job scheduling. Additionally, we assessed how HPC-level capabilities could enhance hybrid algorithm performance, support large-scale error mitigation, and facilitate complex quantum circuit partitioning and optimization. Our findings demonstrate that co-locating quantum and HPC systems can yield measurable improvements in overall hybrid job throughput. We also observe that large-scale real-world problems can require HPC-level computational resources for executing hybrid algorithms.","short_abstract":"We conducted a systematic survey of emerging quantum-HPC platforms, which integrate quantum computers and High-Performance Computing (HPC) systems through co-location. Currently, it remains unclear whether such platforms provide tangible benefits for near-future industrial applications. To address this, we examined the...","url_abs":"https://arxiv.org/abs/2508.04171","url_pdf":"https://arxiv.org/pdf/2508.04171v1","authors":"[\"Daigo Honda\",\"Yuta Nishiyama\",\"Junya Ishikawa\",\"Kenichi Matsuzaki\",\"Satoshi Miyata\",\"Tadahiro Chujo\",\"Yasuhisa Yamamoto\",\"Masahiko Kiminami\",\"Taro Kato\",\"Jun Towada\",\"Naoki Yoshioka\",\"Naoto Aoki\",\"Nobuyasu Ito\"]","published":"2025-08-06T07:49:48Z","proceeding":"quant-ph","tasks":"[\"quant-ph\",\"cs.DC\",\"cs.ET\"]","methods":"[]","has_code":false}