Mohor BanerjeeGradient DescentIn today’s lesson, I revised a learning strategy which is used very commonly throughout the machine learning domain, called gradient…Aug 30, 2023Aug 30, 2023
Mohor BanerjeeOptimization of quantum circuitsIn today’s lesson, light was thrown on how similar to classical models, gradient-based optimization can be used for quantum models as well.Aug 29, 2023Aug 29, 2023
Mohor BanerjeeExpressibility and Entangling CapabilityIn today’s lesson, I learnt how to to measure the 2 key properties of parameterized quantum circuits- Expressibility and Entangling…Aug 28, 2023Aug 28, 2023
Mohor BanerjeeProperties of Parameterized CircuitsIn today’s lesson, I learnt about the 2 key characteristics of parameterized circuits that make them fit to be used for QML- Expressibility…Aug 27, 2023Aug 27, 2023
Mohor BanerjeeParameterized CircuitsIn today’s lesson, I got a very basic introduction to parameterized quantum circuits and explored the Qiskit code to set them up.Aug 26, 2023Aug 26, 2023
Mohor BanerjeeQML- An IntroductionIn today’s lesson, I got an introduction to the super-exciting world of Quantum Machine Learning.Aug 26, 2023Aug 26, 2023
Mohor BanerjeeProbabilistic StatesIn today’s lesson, I explored the similarities and differences between classical states and probabilistic states.Aug 24, 2023Aug 24, 2023
Mohor BanerjeeClassical Information (Part 1)In today’s lesson, I revised the topic of classical information, which is seemingly unrelated to quantum information, but is actually very…Aug 23, 2023Aug 23, 2023
Mohor BanerjeeGrowth Rate of Search AlgorithmsIn today’s lesson, I learnt about the growth rate of various competing search algorithms including Grover’s search.Aug 22, 2023Aug 22, 2023