Training variational quantum algorithms with random gate activation
Shuo Liu, Shi‐Xin Zhang, Shao-Kai Jian, Hong Yao
Abstract
A new training strategy with progressive random gate activation for variational quantum algorithms greatly mitigates barren plateaus and avoids the local minima while being quantum resource efficient and noise resilient.
Topics & Concepts
Maxima and minimaQuantum gateQuantumNoise (video)AlgorithmQuantum circuitRandom noiseComputer scienceQuantum computerMathematicsQuantum networkPhysicsArtificial intelligenceQuantum mechanicsMathematical analysisImage (mathematics)Quantum Computing Algorithms and ArchitectureQuantum Information and CryptographyNeural Networks and Reservoir Computing