Quantum kernel machine learning of density functionals using a Levy-Lieb pure-state embedding
- Das Pemmaraju
- Amol Deshmukh
- 2023
- APS March Meeting 2023
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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5 results for Amol Deshmukh
Optimizing quantum noise-induced reservoir computing for nonlinear and chaotic time series prediction
- Daniel Fry
- Amol Deshmukh
- et al.
- 2023
- Scientific Reports
Variational quantum algorithm for unconstrained black box binary optimization: Application to feature selection
- Christa Zoufal
- Ryan V. Mishmash
- et al.
- 2023
- Quantum
A variational quantum algorithm for the Feynman- Kac formula
- Hedayat Alghassi
- Amol Deshmukh
- et al.
- 2022
- Quantum
Levy-Lieb embedding of density-functional theory and its quantum kernel: Illustration for the Hubbard dimer using near-term quantum algorithms
- Das Pemmaraju
- Amol Deshmukh
- 2022
- Physical Review A