332 citations
- IBM (United States)US24 papers
- Massachusetts Institute of TechnologyUS5 papers
- IBM Research - ZurichCH3 papers
- University of California, Los AngelesUS3 papers
- IBM Research - Thomas J. Watson Research CenterUS2 papers
- University of California, BerkeleyUS2 papers
- Austrian Academy of SciencesAT1 paper
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Showing 2023Show all
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quant-ph2023
A combined quantum-classical method applied to material design: optimization and discovery of photochromic materials for photopharmacology applications
Qi Gao, Michihiko Sugawara, Paul D. Nation +4
Integration of quantum chemistry simulations, machine learning techniques, and optimization calculations is expected to accelerate material discovery by making large chemical space…
cs.ET2023★ 66 cited
Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference
Manuel Le Gallo, Corey Lammie, Julian Buechel +8
Analog In-Memory Computing (AIMC) is a promising approach to reduce the latency and energy consumption of Deep Neural Network (DNN) inference and training. However, the noisy and n…