pstc
Global Optimum Search in Quantum Deep Learning
Chu, Lanston Hau Man, Bhojraj, Tejas, Huang, Rui
This paper aims to solve machine learning optimization problem by using quantum circuit. Two approaches, namely the average approach and the Partial Swap Test Cutoff method (PSTC) was proposed to search for the global minimum/maximum of two different objective functions. The current cost is O( Θ N), but there is potential to improve PSTC further to O( Θ · sublinear N) by enhancing the checking process.
Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.82)