Quantum Algorithms for Machine Learning and Optimization

Improvising the performance of machine learning for applications in the field of computer science leads to create new algorithms. As these are being optimized, using the algorithms of the classical machine learning in the area of quantum computing are being widely researched. First, we can consider general optimization problems with only functional Evaluations. Quantum Speedups of the problems can be improved compared to the classical algorithms. A frame work for quantum inspired classical algorithms can be introduced. To study the various problems on quantum computers on testing properties and compare the quantum speed ups with the classical counter parts.