3 papers
quant-ph2021
Exploiting Symmetry Reduces the Cost of Training QAOA
Ruslan Shaydulin, Stefan M. Wild
A promising approach to the practical application of the Quantum Approximate Optimization Algorithm (QAOA) is finding QAOA parameters classically in simulation and sampling the sol…
quant-ph2020
Classical symmetries and the Quantum Approximate Optimization Algorithm
Ruslan Shaydulin, Stuart Hadfield, Tad Hogg +1
We study the relationship between the Quantum Approximate Optimization Algorithm (QAOA) and the underlying symmetries of the objective function to be optimized. Our approach formal…
quant-ph2018
Community Detection Across Emerging Quantum Architectures
Ruslan Shaydulin, Hayato Ushijima-Mwesigwa, Ilya Safro +2
One of the roadmap plans for quantum computers is an integration within HPC ecosystems assigning them a role of accelerators for a variety of computationally hard tasks. However, i…