119 citations · 341 across the 19 of their papers we have counts for
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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…
Sampling Frequency Thresholds for Quantum Advantage of Quantum Approximate Optimization Algorithm
Danylo Lykov, Jonathan Wurtz, Cody Poole +3
In this work, we compare the performance of the Quantum Approximate Optimization Algorithm (QAOA) with state-of-the-art classical solvers such as Gurobi and MQLib to solve the comb…
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…
Embedding Learning in Hybrid Quantum-Classical Neural Networks
Minzhao Liu, Junyu Liu, Rui Liu +4
Quantum embedding learning is an important step in the application of quantum machine learning to classical data. In this paper we propose a quantum few-shot embedding learning par…