आदित्य देव's repositories
LaTeX-template
A colorful latex template for notes and weekly math assignments.
X-ray-Cone-Beam-Computed-Tomography
X-ray Cone Beam Computed Tomography: Simulation
course-notes-core
This repo contains notes for (some) courses made during core years at IISERM. CAUTION: Contain some cool stuff too.
QWorld_Summer_School_2021
QWorld Summer School 2021. Contains introductory notebooks on basics of Quantum Computing, Qiskit and Cirq. Advance topics include Grover's Search Algorithm and Shor's Algorithm.
dev-aditya
My GitHub profile README.md
papercraft-spectrometer
An introductory papercraft spectrometry kit
ComputationalPhysics
Computational Physics codes following lectures on http://www.physics.rutgers.edu/~haule/509/
Neutrino-Mass-Models-PHY655-TermPaper
This repository contain the tex files for my PHY655 (Special Topics in Particle Physics) TermPaper.
.ovpn
Free and open .ovpn files repository for OpenVPN Connect
cuda-matrix-exp
Matrix Exponentials in CUDA/C++ for Quantum Control
FRIB-TASummerSchoolQuantumComputing
Recent developments in quantum information systems and technologies offer the possibility to address some of the most challenging large-scale problems in science, whether they are represented by complicated interacting quantum mechanical systems or classical systems. The last years have seen a rapid and exciting development in algorithms and quantum hardware. The emphasis of this summer school is to highlight, through a series of lectures and hands-on exercises and practice sessions, how quantum computing algorithms can be used to study nuclear few- and many-body problems of relevance for low-energy nuclear physics. And how quantum computing algorithms can aid in studying systems with increasingly many more degrees of freedom compared with more classical few- and many-body methods. Several quantum algorithms for solving quantum-mechanical few- and many-particle problems with be discussed. The lectures will start with the basic ideas of quantum computing. Thereafter, through examples from nuclear physics, we will elucidate how different quantum algorithms can be used to study these systems. The results from various quantum computing algorithms will be compared to standard methods like full configuration interaction theory, field theories on the lattice, in-medium similarity renormalization group and coupled cluster theories.
Graduate-Physics-Notes--By-Nicholas-Wheeler-
Lecture Notes Archive
julia-for-hpc
Lesson material for "Julia for high-performance scientific computing" workshops
paper-tips-and-tricks
Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.
qme
Quantum Master Equation Tutorial
QSW_MPI
QSW_MPI is a python package developed for MPI-parallelised time-series simulation of continuous-time quantum stochastic walks. This model allows for the study of Markovian open quantum systems in the Lindblad formalism, including a generalization of the continuous-time random walk and continuous-time quantum walk.
quantum-random
Quantum random numbers in Python
qutip
QuTiP: Quantum Toolbox in Python
qutip-lectures
Lectures on QuTiP: slides and ipython notebooks
SciencePlots
Matplotlib styles for scientific plotting
scientificillustration
A curated list of references, software and other resources for scientific illustration
Term-Papers-and-Notes
This repository contains my Term Paper reports and some extra files. I made during my course work at IISER Mohali.
WebPlotDigitizer
Online tool to extract numerical data from plot images.