Uploaded February 2026 | Updated September 2026, 3 weeks ago
Recorded 20 February 2026. Adam Holmes of NVIDIA presents "From NISQ to Fault Tolerance: Architecting the Accelerated Quantum Supercomputer" at IPAM's Bridging the Gap Between NISQ and FTQC Workshop.
Abstract: Scaling from today’s noisy quantum devices to fault-tolerant quantum computers is no longer primarily a qubit fabrication problem, it is a systems integration problem. As quantum processors grow, the dominant bottlenecks shift to real-time calibration, quantum error correction, and low-latency classical orchestration, all of which demand tight coupling between QPUs, GPUs, CPUs, and networking. In this talk, we present an emerging blueprint for an accelerated quantum supercomputer, where ultra-low-latency quantum–classical interconnects enable real-time feedback, GPUs and AI drive decoding and calibration at scale, and unified programming models allow hybrid workflows to span hardware seamlessly. We discuss how accelerated emulation, AI-assisted control and decoding, and heterogeneous system design are redefining what it means to build a scalable quantum computer, and how these capabilities collectively bridge the gap from NISQ-era demonstrations to truly fault-tolerant, scientifically useful quantum systems.
Learn more online at: https://www.ipam.ucla.edu/programs/workshops/bridging-the-gap-between-nisq-and-ftqc/
Recorded 20 February 2026. Adam Holmes of NVIDIA presents "From NISQ to Fault Tolerance: Architecting the Accelerated Quantum Supercomputer" at IPAM's Bridging the Gap Between NISQ and FTQC Workshop.
Abstract: Scaling from today’s noisy quantum devices to fault-tolerant quantum computers is no longer primarily a qubit fabrication problem, it is a systems integration problem. As quantum processors grow, the dominant bottlenecks shift to real-time calibration, quantum error correction, and low-latency classical orchestration, all of which demand tight coupling between QPUs, GPUs, CPUs, and networking. In this talk, we present an emerging blueprint for an accelerated quantum supercomputer, where ultra-low-latency quantum–classical interconnects enable real-time feedback, GPUs and AI drive decoding and calibration at scale, and unified programming models allow hybrid workflows to span hardware seamlessly. We discuss how accelerated emulation, AI-assisted control and decoding, and heterogeneous system design are redefining what it means to build a scalable quantum computer, and how these capabilities collectively bridge the gap from NISQ-era demonstrations to truly fault-tolerant, scientifically useful quantum systems.
Learn more online at: https://www.ipam.ucla.edu/programs/workshops/bridging-the-gap-between-nisq-and-ftqc/
