56 citations · 100 across the 6 of their papers we have counts for
6 papers
Numerical solution of the incompressible Navier-Stokes equations for chemical mixers via quantum-inspired Tensor Train Finite Element Method
Egor Kornev, Sergey Dolgov, Karan Pinto +3
The solution of computational fluid dynamics problems is one of the most computationally hard tasks, especially in the case of complex geometries and turbulent flow regimes. We pro…
Optimization of chemical mixers design via tensor trains and quantum computing
Nikita Belokonev, Artem Melnikov, Maninadh Podapaka +3
Chemical component design is a computationally challenging procedure that often entails iterative numerical modeling and authentic experimental testing. We demonstrate a novel opti…
Protein-protein docking using a tensor train black-box optimization method
Dmitry Morozov, Artem Melnikov, Vishal Shete +1
Black-box optimization methods play an important role in many fields of computational simulation. In particular, such methods are often used in the design and modelling of biologic…
Practical application-specific advantage through hybrid quantum computing
Michael Perelshtein, Asel Sagingalieva, Karan Pinto +7
Quantum computing promises to tackle technological and industrial problems insurmountable for classical computers. However, today's quantum computers still have limited demonstrabl…
Quantum simulation of parity-time symmetry breaking with a superconducting quantum processor
Shruti Dogra, Artem A. Melnikov, Gheorghe Sorin Paraoanu
The observation of genuine quantum effects in systems governed by non-Hermitian Hamiltonians has been an outstanding challenge in the field. Here we simulate the evolution under su…
Large-scale quantum hybrid solution for linear systems of equations
M. R. Perelshtein, A. I. Pakhomchik, A. A. Melnikov +5
State-of-the-art noisy intermediate-scale quantum devices (NISQ), although imperfect, enable computational tasks that are manifestly beyond the capabilities of modern classical sup…