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:

• 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

• 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

you will learn

In this liveProject, you’ll learn fundamental quantum computing concepts and skills as well as the emerging importance of its increasingly wider application.

• Create and test a Python Qiskit imports template
• Investigate the Qiskit ecosystem and its Aer simulators
• Create and visualize qubits stored in quantum registers in their two computational (Z) basis states
• Create and directly initialize qubits in a variety of normalized superposed states; visualize them as Bloch spheres and qspheres, and represent them in complex vector form and in Dirac notation
• Run quantum circuits to obtain their state vectors; visualize them as Bloch spheres and qspheres, and represent them in complex vector forms and in Dirac notation
• Learn what the amplitude and probability of single-qubit states are and how to normalize the state of a single qubit
• Investigate and summarize general information about quantum tech and some of the major players in quantum