Quantum Computing
变分量子算法
Variational Quantum AlgorithmsA hybrid quantum-classical optimization approach for near-term quantum devices / 一种用于近量子设备的混合量子经典优化方法
- Knowledge type
- 数学理论
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-10-31 23:05:46
Sub-knowledge points
Quantum machine learning / 实际应用Quantum Approximate Optimization Algorithm (QAOA)Variational Quantum Eigensolver (VQE)
Higher-order knowledge points
Quantum Sensing and Metrology / 自然理论Fault-tolerant quantum computing
Main parameters and performance indicators
Ansatz: Parameterized quantum circuit structureCost Function: Classical objective function to be minimizedOptimizer: Classical optimization algorithm (e.g., gradient descent)
Open problems
Barren plateausNoise resilienceOptimization convergence
Related literature
ranked by community starsA review of variational quantum algorithms: Insights into fault-tolerant quantum computingOpen source
Related products and links
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1 recordsRecord title: Variational Quantum Algorithms.
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