Terms in Quantum Computing

Quantum ComputingLeave a Comment on Terms in Quantum Computing
Quantum Circuit: Observables: In quantum physics, physical properties/quantity that can be measured. eg. system’s energy, alignment of spins (for a system of spins)http://docs.quantum.ibm.com/guides/specify-observables-paulihttps://en.wikipedia.org/wiki/Observablehttps://www.quantiki.org/wiki/observables-and-measurementshttps://jonathan-hui.medium.com/qc-observable-8a44d10c3f7a EigenValues and EigenVectors: https://www.youtube.com/watch?v=PFDu9oVAE-g&list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_abLinear Algebra – https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab Quantum State: Expectation Values: Expected value of the meaurement or result of an experiment; average of all possible results. https://www.youtube.com/watch?v=8VgBPEcZ_X0https://phys.libretexts.org/Bookshelves/Quantum_Mechanics/Essential_Graduate_Physics_-Quantum_Mechanics(Likharev)/04%3A_Bra-ket_Formalism/4.05%3A_Observables-_Expectation_Values_and_Uncertainties Measuring expectation Values: Unitary Gate:

Quantum Circuit Learning

Quantum ComputingLeave a Comment on Quantum Circuit Learning
Quantum Circuit Learning [1]: Hybrid Framework for machine learning with low-depth quantum circuit. QCL takes input data, iteratively tunes circuit parameters and gives desired output by utilizing gradient-based optimization of parameters similar to backpropagation method. Unitary Gate: Reversible transformations on quantum states; building blocks of quantum circuit; [1] K. Mitarai, M. Negoro, M. Kitagawa, and ... Read More

Gradient Descent

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Iterative process: Goal of gradient descent: MINIMIZE the cost function (error between predicted and actual value) Requirements: a Learning Rate and the direction where to go. Terms: Types of Gradient Descents: https://www.ibm.com/think/topics/gradient-descent Linear Regression: Gradient Descent (One of the best source)https://developers.google.com/machine-learning/crash-course/linear-regression/gradient-descentMath behind gradient descent: https://sebastianraschka.com/faq/docs/gradient-optimization.html https://www.khanacademy.org/math/multivariable-calculus/applications-of-multivariable-derivatives/optimizing-multivariable-functions/a/what-is-gradient-descent https://www.geeksforgeeks.org/gradient-descent-algorithm-and-its-variants https://en.wikipedia.org/wiki/Gradient_descent

Privacy in ML

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What is DP? What is privacy in first place? What do we refer to privacy in ML? What is the main difference between: PCA and PCA DP? Same with SGD vs SGD DP? Why do we need DP? What are the problems in Machine Learning in terms of privacy? How to quantify privacy? Loss of ... Read More

Latex Tips

Latex
$pdflatex = “latexdiff –graphics-markup=0 backup.tex main.tex > main-d.tex; pdflatex %O main-d”

MongoDB Tutorial

database, MongoDB
2. If this is the first time, then Create an Organization (Default Organization may be present). 3. If creating organization, choose MongoDB Atlas. 3. Create project. 4. Then, Create cluster. 5. Choose the Free Option, provide, select options, then click Create Deployment. 6. Then, you need to Connect to Cluster0 and click Create Database User. ... Read More
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