Optimization
Rosenbrock Function \(f(x,y) = (1-x)^2 + 100(y-x^2)^2\) https://docs.scipy.org/doc/scipy/tutorial/optimize.html
Notes
Mongo DB – Quick notes from website
https://learn.mongodb.com/
Autonomous Vehicle/ Datasets
https://github.com/waymo-research/waymo-open-dataset/blob/master/tutorial/tutorial_v2.ipynb https://github.com/nutonomy/nuscenes-devkit/tree/master/python-sdk/tutorials https://neptune.ai/blog/self-driving-cars-with-convolutional-neural-networks-cnn
What is Gradient? Loss Function? Model Parameters? Gradient Descent?
Gradient Descent: Optimization algorithm; minimizes errors between predicted and actual results; updates parameters by moving against the gradient Loss Function: aim is to minimize this function, closer to zero; measures how bad the prediction is in comparison to the actual true value; various methods are used; one is Mean Squared Error (MSE) Gradient: Slope; direction ... Read More
Ask-and-Tell Interface
https://optuna.readthedocs.io/en/stable/tutorial/20_recipes/009_ask_and_tell.html
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: ... Read More
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
Quantum Key Distribution
Quantum Key Distribution (QKD) and Quantum Cryptography (QC) Simulation:https://lab.quantumflytrap.com/lab/bb84?mode=waves https://en.wikipedia.org/wiki/BB84 Code:https://github.com/qiskit-community/qiskit-community-tutorials/blob/master/awards/teach_me_qiskit_2018/quantum_cryptography_qkd/Quantum_Cryptography2.ipynb What is Quantum Key Distribution? https://medium.com/quantum-untangled/quantum-key-distribution-and-bb84-protocol-6f03cc6263c5 https://crypto.stackexchange.com/questions/59066/understanding-quantum-key-distribution [1] S.-K. Liao et al., “Satellite-to-ground quantum key distribution,” Nature, vol. 549, no. 7670, pp. 43–47, Sep. 2017, doi: 10.1038/nature23655.
Quantum Cryptography
Quantum Cryptography: How quantum cryptography works? https://www.nist.gov/cybersecurity/what-quantum-cryptography https://www.nsa.gov/Cybersecurity/Quantum-Key-Distribution-QKD-and-Quantum-Cryptography-QC Resources:
Gradient Descent
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