Quantum-Enhanced Machine Learning
نویسندگان
چکیده
منابع مشابه
Quantum-enhanced machine learning
The emerging field of quantum machine learning has the potential to substantially aid in the problems and scope of artificial intelligence. This is only enhanced by recent successes in the field of classical machine learning. In this work we propose an approach for the systematic treatment of machine learning, from the perspective of quantum information. Our approach is general and covers all t...
متن کاملEnhanced Quantum Synchronization via Quantum Machine Learning
F. A. Cárdenas-López,1, 2, ∗ M. Sanz,3, † J. C. Retamal,1, 2 and E. Solano3, 4 Departamento de Fı́sica, Universidad de Santiago de Chile (USACH), Avenida Ecuador 3493, 9170124, Santiago, Chile Center for the Development of Nanoscience and Nanotechnology 9170124, Estación Central, Santiago, Chile Department of Physical Chemistry, University of the Basque Country UPV/EHU, Apartado 644, 48080 Bilba...
متن کاملQuantum adiabatic machine learning
We develop an approach to machine learning and anomaly detection via quantum adiabatic evolution. In the training phase we identify an optimal set of weak classifiers, to form a single strong classifier. In the testing phase we adiabatically evolve one or more strong classifiers on a superposition of inputs in order to find certain anomalous elements in the classification space. Both the traini...
متن کاملQuantum machine learning
Machine learning techniques are applied for solving a large variety of practical problems. The tasks attacked by machine learning algorithms include classification, regression, pattern recognition, etc. Traditionally, machine learning algorithms are divided into two groups depending on the nature of training data: supervised and unsupervised. Supervised machine learning algorithms take on the i...
متن کاملMachine teaching: a machine learning approach to technology enhanced learning
Many applications of Technology Enhanced Learning are based on strong assumptions: Knowledge needs to be standardized, structured and most of all externalized into learning material that preferably is annotated with meta-data for efficient re-use. A vast body of valuable knowledge does not meet these assumptions, including informal knowledge such as experience and intuition that is key to many ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Physical Review Letters
سال: 2016
ISSN: 0031-9007,1079-7114
DOI: 10.1103/physrevlett.117.130501