Simplifying Qiskit to make developing quantum circuits and applications faster
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Updated
May 21, 2019 - HTML
Simplifying Qiskit to make developing quantum circuits and applications faster
Want to learn about quantum superposition? Flip a coin!
A task I completed as screening for the QOSF Mentorship program.
Using Qiskit Aqua as the backend, we have created an API that compares classical and quantum solutions for the most efficient VRP over a selected region of the US.
Solutions for the Qiskit Global Summer School (QGSS) 2020
Solutions for the IBM Quantum Challenge 2021 (May 20 - 26)
Solutions for the Qiskit Global Summer School 2021
Open-source quantum computing lessons, for high school students
Solutions for the IBM Quantum Challenge Africa 2021
Solutions for the IBM Quantum Challenge Fall 2021
This is my official website repo. Here you can see all my work on the topics listed below.
Code samples for Programming Quantum Computers, from O'Reilly Media
Solutions for the IBM Quantum Spring Challenge 2022
Solutions for the IBM Quantum Fall Challenge 2022
Django Web-Based Quantum Playground
A Python-Qiskit-based package that provides capabilities of easily generating, executing and analyzing quantum circuits for satisfiability problems according to user-defined constraints. The circuits being generated by the program are based on Grover's algorithm and its amplitude-amplification generalization.
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