Decohering Tensor Network Quantum Machine Learning Models

• Published in: arXiv.org
• Main Authors: Liao, Haoran, Convy, Ian, Yang, Zhibo, Whaley, K Birgitta
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 27.01.2023
• Subjects: Machine learning; Mathematical analysis; Physics - Quantum Physics; Qubits (quantum computing); Tensors

Tensor network quantum machine learning (QML) models are promising applications on near-term quantum hardware. While decoherence of qubits is expected to decrease the performance of QML models, it is unclear to what extent the diminished performance can be compensated for by adding ancillas to the m...