Develop Quantum Algorithms you own this product

prerequisites
basic Python • basic Jupyter Notebook • basic math
skills learned
Shor’s algorithm concepts/techniques • quantum superdense coding teleportation • quantum Fourier transforms • quantum phase estimation • quantum oracles
Tony Holdroyd
1 week · 6-8 hours per week · BEGINNER
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As the researcher for venture capital firm Action at a Distance Corporation your job is to evaluate proposals from quantum startups hoping to secure an investment. But first, you need to expand your knowledge of quantum computing.

You’ll build your quantum muscles by investigating and coding key quantum algorithms including the quantum teleportation algorithm, the quantum phase estimation algorithm, the quantum Fourier transform algorithm, and Grover’s algorithm. With your new knowledge, you’ll compose a brief report about whether or not now is the right time to invest in quantum startups.

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 other system
  • Install packages into a Python virtual environment, using pip
  • Code and run Python programs using Jupyter Notebook

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