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prerequisites
basic Python • basic math • basics of Jupyter Notebook
skills learned
programming circuits involving 2 qubits • quantum gates • Bell states • IBM Quantum Composer
Tony Holdroyd
1 week · 2-4 hours per week · BEGINNER
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Get tangled up in quantum computing! Action at a Distance Corporation, a consortium of venture capitalists, believes the time to invest in quantum computing startups is now. As the consortium’s resident researcher, your task is to understand the power of quantum computing.

You’ll learn to recognize normalized quantum states of two qubits, a key skill in implementing quantum algorithms. You’ll get familiar with the Controlled Not (CNOT) gate, vital to the construction of important, entangled states, and you’ll observe what Einstein called “spooky action at a distance” as you program the (famous!) entangled Bell states. Using the IBM Quantum Composer, you’ll visualize and animate quantum circuits, gaining insight into handling gates and their outcomes.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Tony Holdroyd

Tony Holdroyd has a master’s degree in computer science with postgraduate work in mathematics and shares his expertise in those subjects as a retired senior lecturer. Before retiring, he specialized in researching and teaching programming languages and led a number of teams that won significant contracts for degree-level courses from several educational institutions in the UK. Since retiring, he’s worked as a technical reviewer and beta-tester for a variety of major U.S. publishers, as well as being a published author in the machine learning space.

prerequisites

This liveProject is for anyone with basic algebra and geometry skills, basic complex number skills, basic Python programming skills, and a strong interest in learning about the physical principles and techniques of quantum computer programming using IBM Qiskit. To begin these liveProjects you’ll need to be familiar with the following:

TOOLS
  • Python programming basics
  • Basic algebra (equations and surds)
  • Basic linear algebra (vectors and matrices)
  • Basic geometry (diagrams and angles)
  • Basic complex numbers (format and simple manipulation)
  • Basic probability (using fractions and normalization)
  • Basic classical computing
  • Basics of quantum computing and Qiskit
TECHNIQUES
  • Use the command line in a terminal
  • Create a virtual environment in Python using Conda or otherwise
  • Install packages into a Python virtual environment, using pip
  • Code and run Python programs using Jupyter Notebook

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