8 citations · 12 across the 6 of their papers we have counts for
6 papers
Bayesian deep learning integration of geophysical and drilling data for 3D prediction of copper mineralization and drill targeting: a case study from the Kogodai prospect, Rudny Altai
Margarita Veshchezerova, Egor Barashov, Evgenii Gusev +4
Exploration drill targeting in structurally complex terranes is hindered by sparse sampling, heterogeneous datasets, and the ambiguity of geophysical inversions. Here, we present a…
Multistart Large Neighborhood Search for the liquefied natural gas transportation and trading over long-term time horizons
S. Iudin, M. Veshchezerova, K. Tsarova +4
Liquefied Natural Gas (LNG) transportation is a critical component of the energy industry. It enables the efficient and large-scale movement of natural gas across vast distances by…
Qubit-efficient quantum local search for combinatorial optimization
M. Podobrii, V. Kuzmin, V. Voloshinov +2
An essential component of many sophisticated metaheuristics for solving combinatorial optimization problems is some variation of a local search routine that iteratively searches fo…
A Hybrid Quantum-Classical Approach to the Electric Mobility Problem
Margarita Veshchezerova, Mikhail Somov, David Bertsche +4
We suggest a hybrid quantum-classical routine for the NP-hard Electric Vehicle Fleet Charging and Allocation Problem. The original formulation is a Mixed Integer Linear Program wit…
Addition and Differentiation of ZX-diagrams
Emmanuel Jeandel, Simon Perdrix, Margarita Veshchezerova
The ZX-calculus is a powerful framework for reasoning in quantum computing. It provides in particular a compact representation of matrices of interests. A peculiar property of the…
Qualifying quantum approaches for hard industrial optimization problems. A case study in the field of smart-charging of electric vehicles
Constantin Dalyac, Loïc Henriet, Emmanuel Jeandel +4
In order to qualify quantum algorithms for industrial NP-Hard problems, comparing them to available polynomial approximate classical algorithms and not only to exact ones -- expone…