Mohor BanerjeeGradient DescentIn today’s lesson, I revised a learning strategy which is used very commonly throughout the machine learning domain, called gradient…1 min read·Aug 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.1 min read·Aug 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…1 min read·Aug 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…1 min read·Aug 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.1 min read·Aug 26, 2023----
Mohor BanerjeeQML- An IntroductionIn today’s lesson, I got an introduction to the super-exciting world of Quantum Machine Learning.1 min read·Aug 26, 2023----
Mohor BanerjeeProbabilistic StatesIn today’s lesson, I explored the similarities and differences between classical states and probabilistic states.1 min read·Aug 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…1 min read·Aug 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.2 min read·Aug 22, 2023----