most citedDimensionality reduction with variational encoders based on subsystem purification

1 citations · 1 across the 2 of their papers we have counts for

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5 papers

quant-ph20221 cited

Dimensionality reduction with variational encoders based on subsystem purification

Raja Selvarajan, Manas Sajjan, Travis S. Humble +1

Efficient methods for encoding and compression are likely to pave way towards the problem of efficient trainability on higher dimensional Hilbert spaces overcoming issues of barren…

quant-ph2021

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…

physics.chem-ph2021

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…

quant-ph2021

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…

physics.comp-ph2021

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…