Design and Implementation of Quantum half Adder and Full adder Using IBM Quantum Experience

Abstract

Quantum machine learning is the combination of quantum computing and classical machine learning. It helps in solving the problems of one field to another field. Quantum computational power can be advantageous in handling huge data at a faster rate.In this regard, quantum computational power can be advantageous in handling such huge data at a faster rate. Classical machine learning is about trying to find patterns in data and using those patterns to predict future events. Quantum systems, on the other hand, produces typical patterns which are not producible by classical systems, thereby postulating that quantum computers may overtake classical computers on machine learning tasks. Hence the whole motivation in this work is on understanding and analysing the half adder and full adder circuit design using Quantum mechanics.