3 citations · 6 across the 4 of their papers we have counts for
4 papers
Accelerating Quantum Tensor Network Simulations with Unified Path Variations and Non-Degenerate Batched Sampling
Taylor Lee Patti, Paavai Pari, Yang Gao +5
Quantum trajectory methods reduce the computational overhead of simulating noisy quantum systems, approximating them with stochastically sampled -entry quantum statevector…
Hardware Trends Impacting Floating-Point Computations In Scientific Applications
Jack Dongarra, John Gunnels, Harun Bayraktar +2
The evolution of floating-point computation has been shaped by algorithmic advancements, architectural innovations, and the increasing computational demands of modern technologies,…
cuQuantum SDK: A High-Performance Library for Accelerating Quantum Science
Harun Bayraktar, Ali Charara, David Clark +19
We present the NVIDIA cuQuantum SDK, a state-of-the-art library of composable primitives for GPU-accelerated quantum circuit simulations. As the size of quantum devices continues t…
A hybrid Hermitian general eigenvalue solver
Raffaele Solcà, Thomas C. Schulthess, Azzam Haidar +3
The adoption of hybrid GPU-CPU nodes in traditional supercomputing platforms opens acceleration opportunities for electronic structure calculations in materials science and chemist…