From NISQ to Fault Tolerance - Architecting the Accelerated Quantum Supercomputer
Institute for Pure & Applied Mathematics (IPAM) via YouTube
The Most Addictive Python and SQL Courses
AI Adoption - Drive Business Value and Organizational Impact
Overview
Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Explore the evolution from noisy intermediate-scale quantum (NISQ) devices to fault-tolerant quantum computers in this 51-minute conference talk that reframes quantum scaling as a systems integration challenge rather than merely a qubit fabrication problem. Discover how the dominant bottlenecks in growing quantum processors have shifted to real-time calibration, quantum error correction, and low-latency classical orchestration, all requiring tight coupling between quantum processing units (QPUs), graphics processing units (GPUs), central processing units (CPUs), and networking infrastructure. Learn about the emerging blueprint for an accelerated quantum supercomputer featuring ultra-low-latency quantum-classical interconnects that enable real-time feedback, GPU and AI-driven decoding and calibration at scale, and unified programming models allowing hybrid workflows to span hardware seamlessly. Examine how accelerated emulation, AI-assisted control and decoding, and heterogeneous system design are fundamentally redefining scalable quantum computer architecture, and understand how these capabilities collectively bridge the gap from NISQ-era demonstrations to truly fault-tolerant, scientifically useful quantum systems.
Syllabus
Adam Holmes - From NISQ to Fault Tolerance: Architecting the Accelerated Quantum Supercomputer
Taught by
Institute for Pure & Applied Mathematics (IPAM)