149 citations · 437 across the 12 of their papers we have counts for
13 papers
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…
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.…
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…
Robust iterative method for symmetric quantum signal processing in all parameter regimes
Yulong Dong, Lin Lin, Hongkang Ni +1
This paper addresses the problem of solving nonlinear systems in the context of symmetric quantum signal processing (QSP), a powerful technique for implementing matrix functions on…
Robust ground-state energy estimation under depolarizing noise
Zhiyan Ding, Yulong Dong, Yu Tong +1
We present a novel ground-state energy estimation algorithm that is robust under global depolarizing error channels. Building upon the recently developed Quantum Exponential Least…
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…
Infinite quantum signal processing
Yulong Dong, Lin Lin, Hongkang Ni +1
Quantum signal processing (QSP) represents a real scalar polynomial of degree using a product of unitary matrices of size , parameterized by real numbers cal…
Ground state preparation and energy estimation on early fault-tolerant quantum computers via quantum eigenvalue transformation of unitary matrices
Yulong Dong, Lin Lin, Yu Tong
Under suitable assumptions, the algorithms in [Lin, Tong, Quantum 2020] can estimate the ground state energy and prepare the ground state of a quantum Hamiltonian with near-optimal…
On the energy landscape of symmetric quantum signal processing
Jiasu Wang, Yulong Dong, Lin Lin
Symmetric quantum signal processing provides a parameterized representation of a real polynomial, which can be translated into an efficient quantum circuit for performing a wide ra…
A quantum hamiltonian simulation benchmark
Yulong Dong, K. Birgitta Whaley, Lin Lin
Hamiltonian simulation is one of the most important problems in quantum computation, and quantum singular value transformation (QSVT) is an efficient way to simulate a general clas…
Random circuit block-encoded matrix and a proposal of quantum LINPACK benchmark
Yulong Dong, Lin Lin
The LINPACK benchmark reports the performance of a computer for solving a system of linear equations with dense random matrices. Although this task was not designed with a real app…
Efficient phase-factor evaluation in quantum signal processing
Yulong Dong, Xiang Meng, K. Birgitta Whaley +1
Quantum signal processing (QSP) is a powerful quantum algorithm to exactly implement matrix polynomials on quantum computers. Asymptotic analysis of quantum algorithms based on QSP…
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…