- 🌱 Newbie, but I like to learn
- 🔭 I'm interested in the following fields:
Quantum Computing
,Artificial Intelligence
,Automata Theory
,Data Structures and Algorithms
[email protected] | [email protected] |
🚀 Thanks for visiting :)
This repository consists an implementation of the Algorithms encountered in Computer Science, Physics and Mathematics.
License: MIT License
Quantum Computing
, Artificial Intelligence
, Automata Theory
, Data Structures and Algorithms
[email protected] | [email protected] |
🚀 Thanks for visiting :)
Desc
from qutip import identity
print(identity(2))
Quantum object: dims = [[2], [2]], shape = (2, 2), type = oper, isherm = True
Qobj data =
[[1. 0.]
[0. 1.]]
A clear and concise description of what you expected to happen
QuTiP: Quantum Toolbox in Python
================================
Copyright (c) QuTiP team 2011 and later.
Current admin team: Alexander Pitchford, Nathan Shammah, Shahnawaz Ahmed, Neill Lambert, Eric Giguère, Boxi Li, Jake Lishman and Simon Cross.
Board members: Daniel Burgarth, Robert Johansson, Anton F. Kockum, Franco Nori and Will Zeng.
Original developers: R. J. Johansson & P. D. Nation.
Previous lead developers: Chris Granade & A. Grimsmo.
Currently developed through wide collaboration. See https://github.com/qutip for details.
QuTiP Version: 4.6.2
Numpy Version: 1.21.4
Scipy Version: 1.7.2
Cython Version: None
Matplotlib Version: 3.5.0
Python Version: 3.9.6
Number of CPUs: 8
BLAS Info: OPENBLAS
OPENMP Installed: False
INTEL MKL Ext: False
Platform Info: Windows (AMD64)
Installation path: C:\Users\aryam\Desktop\Aryaman\Programming_Hub\GitHub\Algos-for-Amigos\env\myenv\lib\site-packages\qutip
================================================================================
Please cite QuTiP in your publication.
================================================================================
For your convenience a bibtex reference can be easily generated using `qutip.cite()`
Additional Information
Hey there! Welcome to Hacktober Fest 2021!
Thanks for taking interest in this project. Below, we've highlighted some of the problems y'all can take a crack at.
More details will be provided if you are interested in contributing.
We'll accept Pull Requests that solve any of the below problems (or that have a significant level of effort!)
Tech Stack:
HTML, CSS, JavaScript (if needed)
Create a minimalist, responsive website (with a clean look) for this project.
There should be a short description of what the project is about, and a quick summary of the significant codes contributed (for example, expression parser, KNN from scratch, etc.)
Make sure to include the project logo!
Everything in Level 1 + Add a Navbar, and a few more pages.
The Navbar should have the domains (Computer Science, Physics, Mathematics). There should be a drop down menu for Computer Science, which takes the user to the various sub domains (DSA Fundamentals, Competitive Programming, Machine Learning, etc.)
Each sub domain must have a short description of what it is about.
Write a script that automates the process of Blog making. The idea is to write blogs on each program covered in the project efficiently! Good luck
Thank you for making this template! This is a quick test. Sorry for adding this to your repo ;)
from qutip import sigmax
sigmax()
sigmax()
Quantum object: dims = [[2], [2]], shape = (2, 2), type = oper, isherm = True
Qobj data =
[[0. 1.]
[1. 0.]]
:)
QuTiP Version: 4.6.2
Numpy Version: 1.20.2
Scipy Version: 1.6.3
Cython Version: 0.29.23
Matplotlib Version: 3.4.1
Python Version: 3.9.4
Number of CPUs: 12
BLAS Info: Generic
OPENMP Installed: False
INTEL MKL Ext: False
Platform Info: Windows (AMD64)
It looks good!
XYZ Test
from qutip import identity
print(identity(3))
No response
E[ behaviour ]
Amigos Version - [something]
Additional context goes here.
Letzgooo.
Just do it.
Hello 1
Hello 2
Hello 3
Add. info
Need to update string_reverse() function to handle variables and constants that have a length of more than 1 character
Put it somewhere else...
We need to add multiple linear regression to the ML section XD
Code needs to explain the core algorithm and when and where it can be used in
docstring.
Implement Selection Sort under the DSA Fundamentals folder.
Add a short multiline comment describing the pseudocode as well
We need to add a multiline comment to all the programs in 'DSA Fundamentals' which contains pseudocode that is comprehensive enough to understand the algorithm.
This is to make the repo program-independent.
Make is less primitive
The current issue templates are for qutip, not for amigos
Change format
No response
No response
Letzgoo
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