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NVQLink: Wiring Supercomputers Directly to Quantum Chips

Sep 19, 2026
This episode examines the NVQLink architecture, a NVIDIA-led collaboration with nine national labs and research institutions that tightly couples high-performance computing with quantum processors. The discussion centers on why reaction time—not just throughput—is critical for quantum error correction, since qubits decohere while waiting for classical correction signals to arrive. It breaks down the system's building blocks (QPU, QSC, PPU, and the real-time host) and explores a counterintuitive design choice: routing the real-time interconnect over commodity, unreliable Ethernet rather than PCIe, trading a seemingly obvious direct connection for datacenter-scale networking. The episode also connects the work to a decade-old 2017 paper by co-author Travis Humble that first framed QPUs as HPC accelerators, showing how NVQLink turns that early concept into a measured, functioning system with sub-4-microsecond round-trip latency. Listeners interested in the intersection of classical computing infrastructure and quantum hardware will find the engineering tradeoffs and vocabulary breakdown a useful entry point into a fast-moving, unfamiliar corner of systems design.
Sources:
1. Platform Architecture for Tight Coupling of High-Performance Computing with Quantum Processors — 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, 2025
http://arxiv.org/abs/2510.25213
2. High-Performance Computing with Quantum Processing Units — K. Britt, T. Humble, 2017
https://scholar.google.com/scholar?q=High-Performance+Computing+with+Quantum+Processing+Units
3. CUDA Quantum: The Platform for Integrated Quantum-Classical Computing — A. McCaskey et al. (NVIDIA), 2024
https://scholar.google.com/scholar?q=CUDA+Quantum%3A+The+Platform+for+Integrated+Quantum-Classical+Computing
4. Quantum-Centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions — Y. Alexeev et al. (IBM, national labs), 2021 (Future Generation Computer Systems)
https://scholar.google.com/scholar?q=Quantum-Centric+Supercomputing+for+Materials+Science%3A+A+Perspective+on+Challenges+and+Future+Directions
5. MLIR: Scaling Compiler Infrastructure for Domain Specific Computation — C. Lattner, M. Amini, U. Bondhugula, A. Cohen, A. Davis, J. Pienaar, R. Riddle, T. Shpeisman, N. Vasilache, O. Zinenko (Google), 2021 (CGO)
https://scholar.google.com/scholar?q=MLIR%3A+Scaling+Compiler+Infrastructure+for+Domain+Specific+Computation
6. QICK: Quantum Instrumentation Control Kit — L. Stefanazzi, K. Treptow, N. Wilcer, et al. (Fermilab), 2022 (Review of Scientific Instruments)
https://scholar.google.com/scholar?q=QICK%3A+Quantum+Instrumentation+Control+Kit
7. Real-Time Processing Systems for Next-Generation Quantum Computers (representative of the QEC-decoder-latency literature, e.g. Google Quantum AI's real-time decoding work) — Google Quantum AI et al., 2023–2024
https://scholar.google.com/scholar?q=Real-Time+Processing+Systems+for+Next-Generation+Quantum+Computers+%28representative+of+the+QEC-decoder-latency+literature%2C+e.g.+Google+Quantum+AI%27s+real-time+decoding+work%29
8. Learning high-accuracy error decoding for quantum processors (AlphaQubit) — Johannes Bausch, Andrew W. Senior, Francisco J. H. Heras, et al., 2024
https://scholar.google.com/scholar?q=Learning+high-accuracy+error+decoding+for+quantum+processors+%28AlphaQubit%29
9. Evaluation of the Classical Hardware Requirements for Large-Scale Quantum Computations — Daan Camps, Ermal Rrapaj, Katherine Klymko, Brian Austin, Nicholas J. Wright, 2024
https://scholar.google.com/scholar?q=Evaluation+of+the+Classical+Hardware+Requirements+for+Large-Scale+Quantum+Computations
10. Parallel window decoding enables scalable fault tolerant quantum computation — Luka Skoric, Dan E. Browne, Kenton M. Barnes, Neil I. Gillespie, Earl T. Campbell, 2023
https://scholar.google.com/scholar?q=Parallel+window+decoding+enables+scalable+fault+tolerant+quantum+computation
11. Quantum error correction below the surface code threshold — Google Quantum AI and Collaborators, 2024
https://scholar.google.com/scholar?q=Quantum+error+correction+below+the+surface+code+threshold
12. A Game of Surface Codes: Large-Scale Quantum Computing with Lattice Surgery — Daniel Litinski, 2019
https://scholar.google.com/scholar?q=A+Game+of+Surface+Codes%3A+Large-Scale+Quantum+Computing+with+Lattice+Surgery
Interactive Visualization: NVQLink: Wiring Supercomputers Directly to Quantum Chips