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The Journal of Chemical Physics|June 22, 2023
Machine learning aided dimensionality reduction toward a resource efficient projective quantum eigensolver: Formal development and pilot applicationsSonaldeep Halder, Chayan Patra, Dibyendu Mondal, et al.
The Journal of Chemical Physics|October 14, 2024
Toward a resource-optimized dynamic quantum algorithm via non-iterative auxiliary subspace correctionsChayan Patra, Debaarjun Mukherjee, Sonaldeep Halder, et al.
Chemphyschem : a European Journal of Chemical Physics and Physical Chemistry|October 31, 2022
A Synergistic Approach towards Optimization of Coupled Cluster Amplitudes by Exploiting Dynamical HierarchyChayan Patra, Valay Agarawal, Dipanjali Halder, et al.
The Journal of Chemical Physics|September 19, 2023
Development of zero-noise extrapolated projective quantum algorithm for accurate evaluation of molecular energetics in noisy quantum devicesSonaldeep Halder, Chinmay Shrikhande, Rahul Maitra
The Journal of Physical Chemistry. A|June 17, 2025
Construction of Chemistry-Inspired Dynamic Ansatz Utilizing Generative Machine LearningSonaldeep Halder, Kartikey Anand, Rahul Maitra
The Journal of Chemical Physics|October 2, 2021
An approximate coupled cluster theory via nonlinear dynamics and synergetics: The adiabatic decoupling conditionsValay Agarawal, Chayan Patra, Rahul Maitra
Chemical Science|March 1, 2024
Machine learning assisted construction of a shallow depth dynamic ansatz for noisy quantum hardwareSonaldeep Halder, Anish Dey, Chinmay Shrikhande, et al.
The Journal of Chemical Physics|July 5, 2023
Development of a compact Ansatz via operator commutativity screening: Digital quantum simulation of molecular systemsDibyendu Mondal, Dipanjali Halder, Sonaldeep Halder, et al.
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