3 citations · 4 across the 4 of their papers we have counts for
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A comparison on constrain encoding methods for quantum approximate optimization algorithm
Yiwen Liu, Qingyue Jiao, Yidong Zhou +4
The Quantum Approximate Optimization Algorithm (QAOA) represents a significant opportunity for practical quantum computing applications, particularly in the era before error correc…
Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm
Zhiding Liang, Gang Liu, Zheyuan Liu +8
In recent years, quantum computing has emerged as a transformative force in the field of combinatorial optimization, offering novel approaches to tackling complex problems that hav…
SpacePulse: Combining Parameterized Pulses and Contextual Subspace for More Practical VQE
Zhiding Liang, Zhixin Song, Jinglei Cheng +5
In this paper, we explore the integration of parameterized quantum pulses with the contextual subspace method. The advent of parameterized quantum pulses marks a transition from tr…
RobustState: Boosting Fidelity of Quantum State Preparation via Noise-Aware Variational Training
Hanrui Wang, Yilian Liu, Pengyu Liu +10
Quantum state preparation, a crucial subroutine in quantum computing, involves generating a target quantum state from initialized qubits. Arbitrary state preparation algorithms can…