Zobrazeno 1 - 10
of 552
pro vyhledávání: '"Cai, Dongsheng"'
Autor:
Xie, Ningyi, Xu, Jiahua, Chen, Tiejin, Lee, Xinwei, Saito, Yoshiyuki, Asai, Nobuyoshi, Cai, Dongsheng
The Quantum Alternating Operator Ansatz (QAOA) represents a branch of quantum algorithms for solving combinatorial optimization problems. A specific variant, the Grover-Mixer Quantum Alternating Operator Ansatz (GM-QAOA), ensures uniform amplitude ac
Externí odkaz:
http://arxiv.org/abs/2405.03173
Autor:
Kurosawa, Leo, Saito, Yoshiyuki, Lee, Xinwei, Yan, Xinjian, Xie, Ningyi, Cai, Dongsheng, Asai, Nobuyoshi
Probabilistic Error Cancellation (PEC) aims to improve the accuracy of expectation values for observables.This is accomplished using the probabilistic insertion of recovery gates, which correspond to the inverse of errors.However, the inserted recove
Externí odkaz:
http://arxiv.org/abs/2405.01833
Autor:
Yan, Xinjian, Lee, Xinwei, Xie, Ningyi, Saito, Yoshiyuki, Kurosawa, Leo, Asai, Nobuyoshi, Cai, Dongsheng, Lau, HoongChuin
Variational Quantum Algorithms (VQAs) represent a class of algorithms that utilize a hybrid approach, combining classical and quantum computing techniques. In this approach, classical computers serve as optimizers that update circuit parameters to fi
Externí odkaz:
http://arxiv.org/abs/2404.19497
The capability of the quantum approximate optimization algorithm (QAOA) in solving the combinatorial optimization problems has been intensively studied in recent years due to its application in the quantum-classical hybrid regime. Despite having diff
Externí odkaz:
http://arxiv.org/abs/2309.13552
Autor:
Xie, Ningyi, Lee, Xinwei, Cai, Dongsheng, Saito, Yoshiyuki, Asai, Nobuyoshi, Lau, Hoong Chuin
The Capacitated Vehicle Routing Problem (CVRP) is an NP-optimization problem (NPO) that arises in various fields including transportation and logistics. The CVRP extends from the Vehicle Routing Problem (VRP), aiming to determine the most efficient p
Externí odkaz:
http://arxiv.org/abs/2308.08785
Quantum computation consists of a quantum state corresponding to a solution, and measurements with some observables. To obtain a solution with an accuracy $\epsilon$, measurements $O(n/\epsilon^2)$ are required, where $n$ is the size of a problem. Th
Externí odkaz:
http://arxiv.org/abs/2304.05960
Quantum Approximate Optimization Algorithm Parameter Prediction Using a Convolutional Neural Network
Publikováno v:
J. Phys.: Conf. Ser. 2595, 012001 (2023)
The Quantum approximate optimization algorithm (QAOA) is a quantum-classical hybrid algorithm aiming to produce approximate solutions for combinatorial optimization problems. In the QAOA, the quantum part prepares a quantum parameterized state that e
Externí odkaz:
http://arxiv.org/abs/2211.09513
The quantum approximate optimization algorithm (QAOA) is known for its capability and universality in solving combinatorial optimization problems on near-term quantum devices. The results yielded by QAOA depend strongly on its initial variational par
Externí odkaz:
http://arxiv.org/abs/2209.11348
Autor:
Bamisile, Oluwatoyosi, Cai, Dongsheng, Adun, Humphrey, Dagbasi, Mustafa, Ukwuoma, Chiagoziem C., Huang, Qi, Johnson, Nathan, Bamisile, Olusola
Publikováno v:
In Heliyon 15 October 2024 10(19)
Autor:
Acen, Caroline, Bamisile, Olusola, Cai, Dongsheng, Ukwuoma, Chiagoziem C., Obiora, Sandra, Huang, Qi, Uzun Ozsahin, Dilber, Adun, Humphrey
Publikováno v:
In Science of the Total Environment 15 October 2024 947