Boosting for quantum weak learners

DOI10.1007/S11128-022-03548-ZOpenAlexW4282913864MaRDI QIDQ2107988

Hiroshi Ohno

Publication date: 5 December 2022

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

Full work available at URL: https://doi.org/10.1007/s11128-022-03548-z

zbMATH Keywords

perceptronboostingweak learnerphase estimationamplitude estimationNISQ

Mathematics Subject Classification ID

Quantum computation (81P68) Quantum state estimation, approximate cloning (81P50)

Uses Software

• TensorFlow
• QISKit
• TensorFlow Quantum

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Simulating a perceptron on a quantum computer
• A decision-theoretic generalization of on-line learning and an application to boosting
• Improved boosting algorithms using confidence-rated predictions
• Amplitude estimation without phase estimation
• Quantum Computation and Quantum Information
• The vectorization of ITPACK 2C

This page was built for publication: Boosting for quantum weak learners