22 citations · 30 across the 5 of their papers we have counts for
7 papers · 1 filter
Stochastic Approach For Simulating Quantum Noise Using Tensor Networks
William Berquist, Danylo Lykov, Minzhao Liu +1
Noisy quantum simulation is challenging since one has to take into account the stochastic nature of the process. The dominating method for it is the density matrix approach. In thi…
Constructing Optimal Contraction Trees for Tensor Network Quantum Circuit Simulation
Cameron Ibrahim, Danylo Lykov, Zichang He +2
One of the key problems in tensor network based quantum circuit simulation is the construction of a contraction tree which minimizes the cost of the simulation, where the cost can…
Performance Evaluation and Acceleration of the QTensor Quantum Circuit Simulator on GPUs
Danylo Lykov, Angela Chen, Huaxuan Chen +4
This work studies the porting and optimization of the tensor network simulator QTensor on GPUs, with the ultimate goal of simulating quantum circuits efficiently at scale on large…
The fixed angle conjecture for QAOA on regular MaxCut graphs
Jonathan Wurtz, Danylo Lykov
The quantum approximate optimization algorithm (QAOA) is a near-term combinatorial optimization algorithm suitable for noisy quantum devices. However, little is known about perform…
Importance of Diagonal Gates in Tensor Network Simulations
Danylo Lykov, Yuri Alexeev
In this work we present two techniques that tremendously increase the performance of tensor-network based quantum circuit simulations. The techniques are implemented in the QTensor…
Transferability of optimal QAOA parameters between random graphs
Alexey Galda, Xiaoyuan Liu, Danylo Lykov +2
The Quantum approximate optimization algorithm (QAOA) is one of the most promising candidates for achieving quantum advantage through quantum-enhanced combinatorial optimization. I…