Rahul Maitra

Affiliations: 
2018- Indian Institute of Technology Bombay, Mumbai, Maharashtra, India 
Area:
Quantum Chemistry
Website:
https://rahulmaitra.wixsite.com/theomolscilab
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"Rahul Maitra"
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Publications

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Halder S, Shrikhande C, Maitra R. (2023) Development of zero-noise extrapolated projective quantum algorithm for accurate evaluation of molecular energetics in noisy quantum devices. The Journal of Chemical Physics. 159
Chakraborty A, Maitra R. (2023) Fixing the catastrophic breakdown of single reference coupled cluster theory for strongly correlated systems: Two paradigms toward the implicit inclusion of high-rank correlation with low-spin channels. The Journal of Chemical Physics. 159
Mondal D, Halder D, Halder S, et al. (2023) Development of a compact Ansatz via operator commutativity screening: Digital quantum simulation of molecular systems. The Journal of Chemical Physics. 159
Halder S, Patra C, Mondal D, et al. (2023) Machine learning aided dimensionality reduction toward a resource efficient projective quantum eigensolver: Formal development and pilot applications. The Journal of Chemical Physics. 158
Halder D, Prasannaa VS, Maitra R. (2022) Dual exponential coupled cluster theory: Unitary adaptation, implementation in the variational quantum eigensolver framework and pilot applications. The Journal of Chemical Physics. 157: 174117
Patra C, Agarawal V, Halder D, et al. (2022) A Synergistic Approach towards Optimization of Coupled Cluster Amplitudes by Exploiting Dynamical Hierarchy. Chemphyschem : a European Journal of Chemical Physics and Physical Chemistry
Chakraborty A, Tribedi S, Maitra R. (2022) A double exponential coupled cluster theory in the fragment molecular orbital framework. The Journal of Chemical Physics. 156: 244117
Agarawal V, Roy S, Shrawankar KK, et al. (2022) A hybrid coupled cluster-machine learning algorithm: Development of various regression models and benchmark applications. The Journal of Chemical Physics. 156: 014109
Agarawal V, Patra C, Maitra R. (2021) An approximate coupled cluster theory via nonlinear dynamics and synergetics: The adiabatic decoupling conditions. The Journal of Chemical Physics. 155: 124115
Agarawal V, Roy S, Chakraborty A, et al. (2021) Accelerating coupled cluster calculations with nonlinear dynamics and supervised machine learning. The Journal of Chemical Physics. 154: 044110
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