Welcome to Mobilarian Forum - Official Symbianize forum.

Join us now to get access to all our features. Once registered and logged in, you will be able to create topics, post replies to existing threads, give reputation to your fellow members, get your own private messenger, and so, so much more. It's also quick and totally free, so what are you waiting for?

Computing Quantum Number In Quantum Computer

TOP 110


Alpha and Omega
Jan 21, 2021
Reaction score
3 years of service

Published 6/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 514.99 MB | Duration: 1h 12m

Quantum Computing with Python-Qiskit; Project on 'Qubit State Encode-Decode for Complex Number' & Arithmetic Operations.
What you'll learn
Python in Google Colab, Qiskit in Jupyter Notebook and IBM Q Experience.
Stereographic projection between '2-D point (x, y)' & '3-D point (u, v, w)' and Riemann sphere.
Development of a qubit state: |qubit> in term of the input complex number Z(x, y) = x+iy, i.e. |qubit(x, y)>. And, representation on Bloch sphere.
Development of a qubit state as function over input function f(x, y), i.e. dancing qubit.
Coding for the encoded qubit state |qubit(x, y)> in Google Colab, i.e. for the complex encoded stereographic based qubit state.
Coding for state preparation and quantum gates using qiskit in Jupyter Notebook.
Development of arithmetic operations using stereographic qubit state.
Development of 'non-stereographic qubit state' for input number.
Development of arithmetic operations using non-stereographic qubit state.
Coding for non-stereographic qubit state with qiskit in Jupyter Notebook.
Coding for arithmetic operations using non-stereographic qubit state with qiskit in Jupyter Notebook.
Coding of quantum gates in IBM Q Experience.
High school mathematical knowledge.
Beginner in python.
Hi Qurious,Good Day. Welcome to the PROJECT BASED course on Computing Quantum Number in Quantum Computer! To count, measure etc in our day to day life, we need, certain object. Number is that object. When the matter comes to print the number in conventional computing machine, we can do so in very simplified way by command: Num = 0; print('Number=', Num). But, when it is about to print it in quantum machine that means by using quantum gates we have to do it by other ways. One of the way to represent a number is by state of qubit which means the transformation of ordinary number to let say quantum number. In this R&D based project course we will start from scratch and understand the underlying mathematical formulations and code them in quantum computer. We will use Google Colab, Jupyter Notebook and IBM Q Experience. In Google Colab, we will compute the transformation without using gates. In Jupyter notebook, we will compute the same using unitary gates, whereas in IBM Q Experience we will see the implementation of gates in brief. If you have high school level of mathematical knowledge, you can take this course.MATERIALS This course apart of video lectures contain several notes. The GitHub links are also provided. Additionally the installation kit is there.
Section 1: Installations, Quantum Number, Quantum Function & Python Coding in Google Colab
Lecture 1 Lecture-1.1
Lecture 2 Lecture-1.2.1
Lecture 3 Lecture-1.2.2
Lecture 4 Lecture-1.2.3
Lecture 5 Lecture-2.1.1
Lecture 6 Lecture-2.1.2
Lecture 7 Lecture-2.1.3
Lecture 8 Lecture-2.1.4
Lecture 9 Lecture-2.2
Lecture 10 Lecture-2.3.1
Lecture 11 Lecture-2.3.2
Lecture 12 Complex_Number -> Qubit_State-GitHub_Link
Lecture 13 Bloch_Sphere-GitHub_Link
Lecture 14 Lecture-3.1
Lecture 15 Lecture-3.2
Section 2: Intermediate Note & Test-1
Lecture 16 Intermediate Note
Section 3: Quantum Gates, Qubit based Arithmetic Operations & Qiskit Coding in Jupyter Note
Lecture 17 Lecture-4.1
Lecture 18 Lecture-4.2
Lecture 19 Lecture-4.3
Lecture 20 Quantum Gates (Single-qubit)-GitHub_Link
Lecture 21 Lecture-5.1
Lecture 22 Lecture-5.2
Lecture 23 Non-Stereographic_Qubit-State[Addition] Code-GitHub Link.
Lecture 24 Lecture-5.3
Lecture 25 Non-Stereographic_Qubit-State[Multiplication] Code-GitHub Link.
Lecture 26 IBM Quantum Experience
Section 4: Closing Note & Test-2
Lecture 27 Closing Note
Interested in Quantum Computing.

Please, Log in or Register to view codes content!

Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live
Links are Interchangeable - No Password - Single Extraction
K 0

KatzSec DevOps

Alpha and Omega
Jan 17, 2022
Reaction score
2 years of service
TOP salamat sa pag contribute. Next time always upload your files sa
Please, Log in or Register to view URLs content!
para siguradong di ma dedeadlink. Let's keep on sharing to keep our community running for good. This community is built for you and everyone to share freely. Let's invite more contributors para mabalik natin sigla ng Mobilarian at tuloy ang puyatan. :)
Top Bottom