Researchers Develop Machine Learning Algorithm to Help Further Understand Quantum Systems
Zooming in on a wafer of D-Wave Quantum Computers Bayers Factors In the paper entitled " Learning models of quantum systems from experiments," published in Nature Physics, quantum mechanics from QET Labs of Bristol are describing an algorithm that overcomes such challenges by functioning as an independent agent, through the use of machine learning to oppose or contradict engineer Hamiltonian models. Essentially, the research team developed a new protocol for the formulation and validation of approximate models for quantum systems of interest. As indicated in their study, the researchers' algo...
Source: sciencetimes.com