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20192026
most citedRobust Control Optimization for Quantum Approximate Optimization Algorithm

8 citations · 10 across the 5 of their papers we have counts for

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quant-ph2026

Constrained minimax approximation for quantum signal processing

Yulong Dong, James B. Larsen, Lin Lin +1

Quantum signal processing (QSP) provides a simple and efficient framework for implementing polynomial transformations using quantum circuits. Its classical design stage leads to a…

quant-ph2026

Programmable Signal Design for Quantum Phase Estimation via Quantum Signal Processing

Zikang Jia, Suying Liu, Yulong Dong

Quantum phase estimation is a central primitive in quantum algorithms and sensing, where performance is governed by the sensitivity of measurement signals to the target parameter.…

quant-ph2024

Multi-level quantum signal processing with applications to ground state preparation using fast-forwarded Hamiltonian evolution

Yulong Dong, Lin Lin

The preparation of the ground state of a Hamiltonian with a large spectral radius has applications in many areas such as electronic structure theory and quantum field theory. G…

quant-ph20222 cited

Beyond Heisenberg Limit Quantum Metrology through Quantum Signal Processing

Yulong Dong, Jonathan Gross, Murphy Yuezhen Niu

Leveraging quantum effects in metrology such as entanglement and coherence allows one to measure parameters with enhanced sensitivity. However, time-dependent noise can disrupt suc…

quant-ph20198 cited

Robust Control Optimization for Quantum Approximate Optimization Algorithm

Yulong Dong, Xiang Meng, Lin Lin +2

Quantum variational algorithms have garnered significant interest recently, due to their feasibility of being implemented and tested on noisy intermediate scale quantum (NISQ) devi…