Platform Architecture for Tight Coupling of High-Performance Computing with Quantum Processors

Quantum Physics arXiv:2510.25213 (quant-ph) [Submitted on 29 Oct 2025] Title:Platform Architecture for Tight Coupling of High-Performance Computing with Quantum Processors Authors:Shane A. Caldwell, Moein Khazraee, Elena Agostini, Tom Lassiter, Corey Simpson, Omri Kahalon, Mrudula Kanuri, Jin-Sung Kim, Sam Stanwyck, Muyuan Li, Jan Olle, Christopher Chamberland, Ben Howe, Bruno Schmitt, Justin G. Lietz, Alex McCaskey, Jun Ye, Ang Li, Alicia B. Magann, Corey I. Ostrove, Kenneth Rudinger, Robin Blume-Kohout, Kevin Young, Nathan E. Miller, Yilun Xu, Gang Huang, Irfan Siddiqi, John Lange, Christopher Zimmer, Travis Humble View a PDF of the paper titled Platform Architecture for Tight Coupling of High-Performance Computing with Quantum Processors, by Shane A. Caldwell and 29 other authors View PDF HTML (experimental) Abstract:We propose an architecture, called NVQLink, for connecting high-performance computing (HPC) resources to the control system of a quantum processing unit (QPU) to accelerate workloads necessary to the operation of the QPU. We aim to support every physical modality of QPU and every type of QPU system controller (QSC). The HPC resource is optimized for real-time (latency-bounded) processing on tasks with latency tolerances of tens of microseconds. The network connecting the HPC and QSC is implemented on commercially available Ethernet and can be adopted relatively easily by QPU and QSC builders, and we report a round-trip latency measurement of 3.96 microseconds (max) with prospects of further optimization. We describe an extension to the CUDA-Q programming model and runtime architecture to support real-time callbacks and data marshaling between the HPC and QSC. By doing so, NVQLink extends heterogeneous, kernel-based programming to the QSC, allowing the programmer to address CPU, GPU, and FPGA subsystems in the QSC, all in the same C++ program, avoiding the use of a performance-limiting HTTP interface. We provide a pattern for QSC builders to integrate with this architecture by making use of multi-level intermediate representation dialects and progressive lowering to encapsulate QSC code. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2510.25213 [quant-ph] (or arXiv:2510.25213v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2510.25213 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Shane Caldwell [view email] [v1] Wed, 29 Oct 2025 06:32:58 UTC (4,287 KB) Full-text links: Access Paper: View a PDF of the paper titled Platform Architecture for Tight Coupling of High-Performance Computing with Quantum Processors, by Shane A. Caldwell and 29 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2025-10 References & Citations INSPIRE HEP NASA ADSGoogle Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv (What is alphaXiv?) Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) DagsHub Toggle DagsHub (What is DagsHub?) GotitPub Toggle Gotit.pub (What is GotitPub?) Huggingface Toggle Hugging Face (What is Huggingface?) Links to Code Toggle Papers with Code (What is Papers with Code?) ScienceCast Toggle ScienceCast (What is ScienceCast?) Demos Demos Replicate Toggle Replicate (What is Replicate?) Spaces Toggle Hugging Face Spaces (What is Spaces?) Spaces Toggle TXYZ.AI (What is TXYZ.AI?) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower (What are Influence Flowers?) Core recommender toggle CORE Recommender (What is CORE?) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)