66 citations · 171 across the 7 of their papers we have counts for
7 papers
TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning
Konstantin Sozykin, Andrei Chertkov, Roman Schutski +3
We present a novel procedure for optimization based on the combination of efficient quantized tensor train representation and a generalized maximum matrix volume principle. We demo…
Tensor Network Quantum Simulator With Step-Dependent Parallelization
Danylo Lykov, Roman Schutski, Alexey Galda +2
In this work, we present a new large-scale quantum circuit simulator. It is based on the tensor network contraction technique to represent quantum circuits. We propose a novel para…
Simple heuristics for efficient parallel tensor contraction and quantum circuit simulation
Roman Schutski, Dmitry Kolmakov, Taras Khakhulin +1
Tensor networks are the main building blocks in a wide variety of computational sciences, ranging from many-body theory and quantum computing to probability and machine learning. H…
An adaptive algorithm for quantum circuit simulation
Roman Schutski, Danil Lykov, Ivan Oseledets
Efficient simulation of quantum computers is essential for the development and validation of near-term quantum devices and the research on quantum algorithms. Up to date, two main…
Graph Convolutional Policy for Solving Tree Decomposition via Reinforcement Learning Heuristics
Taras Khakhulin, Roman Schutski, Ivan Oseledets
We propose a Reinforcement Learning based approach to approximately solve the Tree Decomposition (TD) problem. TD is a combinatorial problem, which is central to the analysis of gr…
Tensor-decomposition techniques for ab initio nuclear structure calculations. From chiral nuclear potentials to ground-state energies
Alexander Tichai, Roman Schutski, Gustavo E. Scuseria +1
The impact of applying state-of-the-art tensor factorization techniques to modern nuclear Hamiltonians derived from chiral effective field theory is investigated. Subsequently, the…
Tensor-Structured Coupled Cluster Theory
Roman Schutski, Jinmo Zhao, Thomas M. Henderson +1
We derive and implement a new way of solving coupled cluster equations with lower computational scaling. Our method is based on decomposition of both amplitudes and two electron in…