160 citations · 311 across the 29 of their papers we have counts for
6 papers · 1 filter
Variational quantum circuits to prepare low energy symmetry states
Raja Selvarajan, Manas Sajjan, Sabre Kais
We explore how to build quantum circuits that compute the lowest energy state corresponding to a given Hamiltonian within a Symmetry subspace by explicitly encoding it into the cir…
Quantum Machine Learning for Chemistry and Physics
Manas Sajjan, Junxu Li, Raja Selvarajan +5
Machine learning (ML) has emerged into formidable force for identifying hidden but pertinent patterns within a given data set with the objective of subsequent generation of automat…
Statistical correlation between quantum entanglement and spin-orbit coupling in crossed beam molecular dynamics
Junxu Li, Manas Sajjan, Sumit Suresh Kale +1
Non-classical features like interference is already being harnessed to control the output of chemical reactions. However quantum entanglement which is an equally enigmatic many-bod…
Quantum Machine-Learning for Eigenstate Filtration in Two-Dimensional Materials
Manas Sajjan, Shree Hari Sureshbabu, Sabre Kais
Quantum machine learning algorithms have emerged to be a promising alternative to their classical counterparts as they leverage the power of quantum computers. Such algorithms have…
Manipulating phonons of a trapped-ion system using optical tweezers
Yi Hong Teoh, Manas Sajjan, Zewen Sun +2
We propose an experimental architecture where an array of optical tweezers affords site-dependent control over the confining potential of a conventional radio-frequency ion trap. T…
Implementation of Quantum Machine Learning for Electronic Structure Calculations of Periodic Systems on Quantum Computing Devices
Shree Hari Sureshbabu, Manas Sajjan, Sangchul Oh +1
Quantum machine learning algorithms, the extensions of machine learning to quantum regimes, are believed to be more powerful as they leverage the power of quantum properties. Quant…