qLEET: visualizing loss landscapes, expressibility, entangling power and training trajectories for parameterized quantum circuits

DOI10.1007/s11128-023-03998-zarXiv2205.02095MaRDI QIDQ6107758

Animesh Sinha, Utkarsh Azad

Publication date: 3 July 2023

Published in: Quantum Information Processing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2205.02095

zbMATH Keywords

quantum computingquantum softwarehybrid quantum-classical algorithmsparameterized quantum circuits

Mathematics Subject Classification ID

Quantum computation (81P68)

Cites Work

• Unnamed Item
• Random quantum circuits are approximate 2-designs
• A characterization of global entanglement
• Principal component analysis: a review and recent developments
• Quantum Computation and Quantum Information
• Entanglement of random vectors
• Fidelity for Mixed Quantum States
• Global entanglement in multiparticle systems

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