Warm Starting Variational Quantum Algorithms with Near Clifford Circuits

As a mainstream approach in the quantum machine learning field, variational quantum algorithms (VQAs) are frequently mentioned among the most promising applications for quantum computing. However, VQAs suffer from inefficient training methods. Here, we propose a pretraining strategy named near Cliff...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Electronics (Basel) 2023-01, Vol.12 (2), p.347
Hauptverfasser:	Niu, Yun-Fei, Zhang, Shuo, Bao, Wan-Su
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Circuits Hilbert space Machine learning Optimization Probability Probability distribution Quantum computing Training
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!