Quantum machine learning is the integration of quantum algorithms within machine learning programs. The most common use of the term refers to machine...

Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn...

methods of machine learning to the study of quantum systems is the focus of an emergent area of physics research. A basic example of this is quantum state...

A quantum machine is a human-made device whose collective motion follows the laws of quantum mechanics. The idea that macroscopic objects may follow the...

A quantum Turing machine (QTM) or universal quantum computer is an abstract machine used to model the effects of a quantum computer. It provides a simple...

Active learning is a special case of machine learning in which a learning algorithm can interactively query a human user (or some other information source)...

In statistics and machine learning, leakage (also known as data leakage or target leakage) is the use of information in the model training process which...

In machine learning and pattern recognition, a feature is an individual measurable property or characteristic of a phenomenon. Choosing informative, discriminating...

In quantum computing, the quantum Fourier transform (QFT) is a linear transformation on quantum bits, and is the quantum analogue of the discrete Fourier...

In machine learning, boosting is an ensemble meta-algorithm for primarily reducing bias, variance. It is used in supervised learning and a family of machine...