4.5 Article

Classical Artificial Neural Network Training Using Quantum Walks as a Search Procedure

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Theory & Methods

The quantum walk search algorithm: factors affecting efficiency

Neil B. Lovett et al.

MATHEMATICAL STRUCTURES IN COMPUTER SCIENCE (2019)

Article Quantum Science & Technology

Faster search by lackadaisical quantum walk

Thomas G. Wong

QUANTUM INFORMATION PROCESSING (2018)

Review Automation & Control Systems

Metaheuristic design of feedforward neural networks: A review of two decades of research

Varun Kumar Ojha et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2017)

Review Multidisciplinary Sciences

Quantum machine learning

Jacob Biamonte et al.

NATURE (2017)

Article Computer Science, Artificial Intelligence

Neural networks: An overview of early research, current frameworks and new challenges

Alberto Prieto et al.

NEUROCOMPUTING (2016)

Article Physics, Multidisciplinary

Quantum-Enhanced Machine Learning

Vedran Dunjko et al.

PHYSICAL REVIEW LETTERS (2016)

Article Physics, Multidisciplinary

Grover search with lackadaisical quantum walks

Thomas G. Wong

JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL (2015)

Review Multidisciplinary Sciences

Deep learning

Yann LeCun et al.

NATURE (2015)

Article Physics, Multidisciplinary

Simulating a perceptron on a quantum computer

Maria Schuld et al.

PHYSICS LETTERS A (2015)

Article Computer Science, Artificial Intelligence

Quantum speed-up for unsupervised learning

Esma Aimeur et al.

MACHINE LEARNING (2013)

Review Quantum Science & Technology

Quantum walks: a comprehensive review

Salvador Elias Venegas-Andraca

QUANTUM INFORMATION PROCESSING (2012)

Editorial Material Engineering, Electrical & Electronic

The quantum limit to Moore's law

James R. Powell

PROCEEDINGS OF THE IEEE (2008)

Article Computer Science, Theory & Methods

Proof rules for the correctness of quantum programs

Yuan Feng et al.

THEORETICAL COMPUTER SCIENCE (2007)

Article Optics

Quantum random-walk search algorithm

N Shenvi et al.

PHYSICAL REVIEW A (2003)