36 citations · 76 across the 6 of their papers we have counts for
6 papers
Warm Start Adaptive-Bias Quantum Approximate Optimization Algorithm
Yunlong Yu, Xiang-Bin Wang, Nic Shannon +1
In the search for quantum advantage in real--world problems, one promising avenue is to use a quantum algorithm to improve on the solution found using an efficient classical algori…
Solution of SAT Problems with the Adaptive-Bias Quantum Approximate Optimization Algorithm
Yunlong Yu, Chenfeng Cao, Xiang-Bin Wang +2
The quantum approximate optimization algorithm (QAOA) is a promising method for solving certain classical combinatorial optimization problems on near-term quantum devices. When emp…
Quantum Digital Signatures with Random Pairing
Ji-Qian Qin, Cong Jiang, Yun-Long Yu +1
Digital signatures can guarantee the unforgeability and transferability of the message. Different from classical digital signatures, whose security depends on computational complex…
Mitigating algorithmic errors in quantum optimization through energy extrapolation
Chenfeng Cao, Yunlong Yu, Zipeng Wu +3
Quantum optimization algorithms offer a promising route to finding the ground states of target Hamiltonians on near-term quantum devices. None the less, it remains necessary to lim…
Quantum Approximate Optimization Algorithm with Adaptive Bias Fields
Yunlong Yu, Chenfeng Cao, Carter Dewey +3
The quantum approximate optimization algorithm (QAOA) transforms a simple many-qubit wavefunction into one which encodes a solution to a difficult classical optimization problem. I…
General theory of quantum fingerprinting network
Ji-Qian Qin, Jing-Tao Wang, Yun-Long Yu +1
The purpose of fingerprinting is to compare long messages with low communication complexity. Compared with its classical version, the quantum fingerprinting can realize exponential…