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Quantum machine learning
Quantum machine learning is a newly emerging interdisciplinary research area between quantum physics and computer science that summarises efforts to combine quantum mechanics with methods of machine learning.〔Maria Schuld, Ilya Sinayiskiy, and Francesco Petruccione (2014) An introduction to quantum machine learning, Contemporary Physics, (preprint available at )〕 Quantum machine learning models or algorithms intend to use the advantages of quantum information in order to improve classical methods of machine learning, for example by developing efficient implementations of expensive classical algorithms on a quantum computer.〔see for example, Nathan Wiebe, Ashish Kapoor, and Krysta M. Svorey (2014) Quantum Algorithms for Nearest-Neighbor Methods for Supervised and Unsupervised Learning, 〕〔Seth Lloyd, Masoud Mohseni, and Patrick Rebentrost (2014) Quantum algorithms for supervised and unsupervised machine learning, 〕〔Seokwon Yoo, Jeongho Bang, Changhyoup Lee, and Jinhyoung Lee, A quantum speedup in machine learning: finding an N-bit Boolean function for a classification, New Journal of Physics 16 (2014) 103014, 〕 However, quantum machine learning also includes the vice versa approach, namely applying classical methods of machine learning to quantum information theory.
Although yet in its infancy, quantum machine learning is met with high expectations of providing a solution for big data analysis using the ‘parallel’ power of quantum computation.〔(【引用サイトリンク】title=How Quantum Computers and Machine Learning Will Revolutionize Big Data )〕 This trend is underlined by recent investments of companies such as Google and Microsoft into quantum computing hardware and research. However, quantum machine learning is still in its infancy and requires more theoretical foundations as well as solid scientific results in order to mature to a full academic discipline.
==Quantum methods for Machine Learning==
A number of proposals suggest ideas of how to adapt classical methods of machine learning to quantum information processing.〔For a review, see Maria Schuld, Ilya Sinayiskiy, and Francesco Petruccione (2014) An introduction to quantum machine learning, Contemporary Physics, (upcoming, preprint available at )〕
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