Tensor networks in machine learning. - Richik Sengupta; Soumik Adhikary; Ivan V. Oseledets; Jacob D. Biamonte (CoRR, 2022)

On Symmetric Pseudo-Boolean Functions: Factorization, Kernels and Applications. - Richik Sengupta; Jacob D. Biamonte (CoRR, 2022)

Construction of a Circuit for the Simulation of a Hamiltonian with a Tridiagonal Matrix Representation. - Boris Arseniev; Dmitry Guskov; Richik Sengupta; Jacob D. Biamonte; Igor Zacharov (CoRR, 2023)

High order schemes for solving partial differential equations on a quantum computer. - Boris Arseniev; Dmitry Guskov; Richik Sengupta; Igor Zacharov (CoRR, 2024)