Quantum Machine Learning: A Review and Current Status
Quantum machine learning is at the intersection of two of the most sought after research areas—quantum computing and classical machine learning. Quantum machine learning investigates how results from the quantum world can be used to solve problems from ma
- PDF / 1,233,756 Bytes
- 45 Pages / 439.37 x 666.142 pts Page_size
- 18 Downloads / 287 Views
102
N. Mishra et al.
train a classical computation model is evergrowing and reaching the limits which normal computing devices can handle. In such a scenario, quantum computation can aid in continuing training with huge data. Quantum machine learning looks to devise learning algorithms faster than their classical counterparts. Classical machine learning is about trying to find patterns in data and using those patterns to predict further events. Quantum systems, on the other hand, produce atypical patterns which are not producible by classical systems, thereby postulating that quantum computers may overtake classical computers on machine learning tasks. Here, we review the previous literature on quantum machine learning and provide the current status of it. Keywords Quantum machine learning · Quantum renormalization procedure · Quantum hhl algorithm · Quantum support vector machine · Quantum classifier · Quantum artificial intelligence · Quantum entanglement · Quantum neural network · Quantum computer
Y. Chatterjee Department of Physics and Astronomy, National Institute of Technology Rourkela, Odisha 769008, India S. Raj School of Physical Sciences, National Institute of Science Education and Research, HBNI, Jatni 752050, Odisha, India S. Bagaria Department of Chemical Engineering, MBM Engineering College, Jodhpur, India S. Chaudhary Department of Physics, Indian Institute Of Technology, Kanpur, Kalyanpur, Kanpur, India V. Singh Indian Institute of Technology (Indian School of Mines), Dhanbad 826004, Jharkhand, India R. Maji Department of Physics, Central University of Karnataka, Karnataka 585367, India P. Dalei · B. K. Behera (B) Bikash’s Quantum (OPC) Private Limited, Balindi, Mohanpur, Nadia 741246, West Bengal, India e-mail: [email protected] B. K. Behera · P. K. Panigrahi Department of Physical Sciences, Indian Institute of Science Education and Research Kolkata, Mohanpur 741246, West Bengal, India e-mail: [email protected] S. Mukhopadhyay BIMS Kolkata, Kolkata 700 097, West Bengal, India e-mail: [email protected]
Quantum Machine Learning: A Review and Current Status
103
1 Introduction Everyday experience in our life makes up our classical understanding, however, it’s not the ultimate underlying mechanism of nature. Our surrounding is just the emergence of the underlying and more basic mechanics known as quantum mechanics. Quantum phenomenons don’t match with our everyday intuition. In fact, for a very long time in the history of science and human understanding, these underlying mechanics were hidden from us. It is only in the last century we came to observe this aspect of nature. As the research progressed, we developed theories and mathematical tools from our renowned scientists. Quantum theory being a probabilistic theory attracts a lot of philosophical debates with it. Many quantum phenomenona such as the collapse of the wave function, quantum tunnelling, quantum superposition, etc still fascinates us. The true quantum nature of reality is still a mystery to our understa
Data Loading...
