Scientific Computing for Chemists text for teaching basic computing skills to chemistry students using Python, Jupyter notebooks, and the SciPy stack. This text makes use of a variety of packages including NumPy, SciPy, matplotlib, pandas, seaborn, NMRglue, SymPy, scikit-image, and scikit-learn.

⚛️ 💥 ⚙️ A project based in Quantum Computing. This project was built using IBM Q Experience/QisKit (Jupyter Notebook/Python Environment Framework from IBM), PyQuil (Python Environment Framework from Rigetti Computing/Rigetti Forest SDK), ProjectQ (Python Environment Open-Source Framework from ETH Zurich), Q# (Q Sharp Programming Language from Mi…

A series of documented Jupyter notebooks implementing various neural nets.

The title of the thesis is Shor's algorithm in Quantum Cryptography. This repository contains the data and Jupyter notebooks containing the codes used in the Quantum simulations of different variants of Shor's quantum factoring algorithm. While IBM Qiskit has already implemented the algorithm using the standard Quantum Fourier Transform (QFT), t…