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20212026
most citedQuantum Machine Learning for Chemistry and Physics

160 citations · 311 across the 29 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

quant-ph2022★ 8 cited

Hamiltonian learning from time dynamics using variational algorithms

Rishabh Gupta, Raja Selvarajan, Manas Sajjan +2

The Hamiltonian of a quantum system governs the dynamics of the system via the Schrodinger equation. In this paper, the Hamiltonian is reconstructed in the Pauli basis using measur…

quant-ph2022★ 1 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…

cond-mat.mtrl-sci2022★ 10 cited

Magnetic Phases of Spatially-Modulated Spin-1 Chains in Rydberg Excitons: Classical and Quantum Simulations

Manas Sajjan, Hadiseh Alaeian, Sabre Kais

In this work, we study the magnetic phases of a spatially-modulated chain of spin-1 Rydberg excitons. Using the Density Matrix Renormalization Group (DMRG) technique we study vario…

quant-ph2022★ 42 cited

Imaginary components of out-of-time correlators and information scrambling for navigating the learning landscape of a quantum machine learning model

Manas Sajjan, Vinit Singh, Raja Selvarajan +1

We introduce and analytically illustrate that hitherto unexplored imaginary components of out-of-time correlators can provide unprecedented insight into the information scrambling…

quant-ph2022★ 15 cited

Variational Approach to Quantum State Tomography based on Maximal Entropy Formalism

Rishabh Gupta, Manas Sajjan, Raphael D. Levine +1

Quantum state tomography is an integral part of quantum computation and offers the starting point for the validation of various quantum devices. One of the central tasks in the fie…