You can use the quantum approximate optimization algorithm (QAOA) to solve a Quadratic Unconstrained Binary Optimization (QUBO) problem.
The quantum approximate optimization algorithm (QAOA) is one of the most promising candidates for achieving quantum advantage through quantum-enhanced combinatorial optimization. Optimal QAOA parameter concentration effects for special MaxCut problem instances have been observed, but a rigorous study of the...
The quantum approximate optimization algorithm (QAOA) generates an approximate solution to combinatorial optimization problems using a variational ansatz circuit defined by parameterized layers of quantum evolution. In theory, the approximation improves with increasing ansatz depth but gate noise and circuit c...
One of the well-known quantum algorithms is thequantum approximate optimization algorithm(QAOA) proposed by [18]. QAOA aims to solve the problem of maximizing the...
1. Variational Hybrid Quantum-Classical algorithm variational hybrid quantum-classical algorithm,VHQC。顾名思义,就是量子与经典相结合的算法。算法线路部分是量子的,优化部分是经典的。如QAOA,如图所示: 【2】QAOA框架 这种VHQC最早由Farhi在14年提出【1】,也就是QAOA(Quantum Approximate Optimization Algorithm)。
Combinatorial optimization problems are ubiquitous and computationally hard to solve in general. Quantum approximate optimization algorithm (QAOA), one of the most representative quantum-classical hybrid algorithms, is designed to solve combinatorial optimization problems by transforming the discrete optimization...
内容提示: Robust Control Optimization for QuantumApproximate Optimization AlgorithmYulong Dong 1,2 Xiang Meng 3 Lin Lin 3,4 Robert Kosut 5K. Birgitta Whaley 1,21 Berkeley Center for Quantum Information and Computation,Berkeley, California 94720 USA2 Department of Chemistry, Universityof California, ...
重要性抽样,将测量机会mi多分配给对应系数ci大的算符mi∝ci⟨(σi−⟨σi⟩)2⟩等。 Reference [1] M. Cerezo, et al. Variational Quantum Algorithms. arXiv:2012.09265 [2] Edward Farhi, et al. A quantum approximate optimization algorithm. arXiv:1411.4028...
量子近似优化算法 (Quantum Approximate Optimization Algorithm, QAOA) QAOA是一种新兴的量子算法,旨在解决组合优化问题。它通过构建量子电路来近似最优解,dvzjxg.com/qggjc.pHp,。QAOA在理论上可以提供比经典算法更优的解,尤其是在处理NP难问题时。研究表明,QAOA在某些特定问题上能够显著提高求解速度。
2. 优化问题 Optimization Problems 优化问题在人工智能中占据重要地位,尤其是在资源分配、调度和路径规划等应用中。量子计算能够通过量子优化算法,如量子近似优化算法(quantum approximate optimization algorithm, QAOA),有效地解决这些问题。 量子计算的并行性使得其能够在更短的时间内找到最优解或近似最优解。例如,在物...