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This collaboration demonstrates a critical pathway for near-term quantum utility, where large-scale classical GPU clusters emulate noisy intermediate-scale quantum (NISQ) circuits to accelerate the development of hybrid algorithms for molecular simulation. By achieving a 15-fold speedup in benchmarking over 3,000 VQE emulations, the project establishes essential datasets for training quantum-enhanced Density Functional Theory functionals, directly advancing the practical application of quantum computing in biology and materials science.
Phasecraft and NVIDIA Benchmark 3,000+ VQE Molecular Emulations Under Wellcome Leap Q4Bio Program
Phasecraft and NVIDIA have collaborated under the Wellcome Leap Q4Bio program to create the largest-known Variational Quantum Eigensolver (VQE) emulated molecular database. Utilizing an NVIDIA Hopper architecture cluster and cuQuantum software, they benchmarked over 3,000 VQE circuit emulations across 13 molecular systems, achieving a 15-fold speedup. This effort aims to train quantum-enhanced Density Functional Theory (DFT) functionals for improved biological system calculations. The post Phasecraft and NVIDIA Benchmark 3,000+ VQE Molecular Emulations Under Wellcome Leap Q4Bio Program appeared first on Quantum Computing Report.
Quantum algorithm developer Phasecraft has partnered with NVIDIA to construct the largest-known Variational Quantum Eigensolver (VQE) emulated molecular database, leveraging accelerated…
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