Scott Thornton

Scott Thornton is a Quantum Computing Libraries Engineer at NVIDIA, specializing in AI inference for quantum error correction and algorithms for chemistry and materials science. Beyond quantum computing, his research interests span density functional theory (DFT) and time-dependent DFT for molecules and condensed matter. Scott received his Ph.D. in Condensed Matter Physics from the University of Tennessee.
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Posts by Scott Thornton

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Developer Tools & Techniques Dec 17, 2025

Real-Time Decoding, Algorithmic GPU Decoders, and AI Inference Enhancements in NVIDIA CUDA-Q QEC

Real-time decoding is crucial to fault-tolerant quantum computers. By enabling decoders to operate with low latency concurrently with a quantum processing unit... 6 MIN READ