PHY 299-02: Quantum Computing and Information

Course Materials

• Syllabus

Lecture Topics

• What are Quantum Computers and How Do They Compare to Classical Computers?

  • Learning Objectives

  • Slides

  • Lecture Notes

  • Code

• Linear Algebra Overview and Using Python for Linear Algebra

  • Learning Objectives

  • Slides

  • Lecture Notes

  • Code

• Quantum Mechanics Crash Course (Part 1)

  • Learning Objectives

  • Slides

  • Lecture Notes

  • Code

• Quantum Mechanics Crash Course (Part 2)

  • Learning Objectives

  • Slides

  • Lecture Notes

  • Code

• Solving Quantum Mechanics Problems in Python

  • Learning Objectives

  • Slides

  • Lecture Notes

  • Code

• Quibits, Superposition, and Introduction to Qiskit

  • Learning Objectives

  • Slides

  • Lecture Notes

  • Code

• Quantum Measurement and Wavefunction Collapse

  • Learning Objectives

  • Slides

  • Lecture Notes

  • Code

• Quantum Entanglement

  • Learning Objectives

  • Slides

  • Lecture Notes

  • Code

• Quantum Gates

  • Learning Objectives

  • Slides

  • Lecture Notes

  • Code

• Quantum Circuits

  • Learning Objectives

  • Slides

  • Lecture Notes

  • Code

• Quantum Parallelism 

  • Learning Objectives

  • Slides

  • Lecture Notes

  • Code

• Deutsch-Jozsa Algorithm

  • Learning Objectives

  • Slides

  • Lecture Notes

  • Code

• Grover's Search Algorithm

  • Learning Objectives

  • Slides

  • Lecture Notes

  • Code

• Shor's Factoring Algorithm

  • Learning Objectives

  • Slides

  • Lecture Notes

  • Code

• Quantum Key Distribution

  • Learning Objectives

  • Slides

  • Lecture Notes

  • Code

• Quantum Teleportation

  • Learning Objectives

  • Slides

  • Lecture Notes

  • Code

• Quantum Cryptography

  • Learning Objectives

  • Slides

  • Lecture Notes

  • Code

• Quantum Simulations of Physical Systems

  • Learning Objectives

  • Slides

  • Lecture Notes

  • Code

• Variational Quatum Eigensolver (VQE)

  • Learning Objectives

  • Slides

  • Lecture Notes

  • Code

• Hybrid Quantum-Classical Algorithms

  • Learning Objectives

  • Slides

  • Lecture Notes

  • Code

• Quantum Errors and Noise

  • Learning Objectives

  • Slides

  • Lecture Notes

  • Code

• Quantum Error Correction

  • Learning Objectives

  • Slides

  • Lecture Notes

  • Code

• Quantum Hardware

  • Learning Objectives

  • Slides

  • Lecture Notes

  • Code

• Scalability of Quantum Computers

  • Learning Objectives

  • Slides

  • Lecture Notes

  • Code

• Quantum Machine Learning

  • Learning Objectives

  • Slides

  • Lecture Notes

  • Code

• Using Real Quantum Computers

  • Learning Objectives

  • Slides

  • Lecture Notes

  • Code

Homeworks

• Linear Algebra and Quantum Mechanics Crash Course

• Quantum Mechanics in Python

• Simulating Quibits, Superposition, Entanglement, and Measurement with Qiskit

• Simulating Quantum Gates and Circuits: Creating a Bell State and Demonstrating Entanglement

• Simulating More Complicated Quantum Circuits

• Implementing and Testing Deutsch-Josza Algorithm

• Implementing Grover's Search Algorithm and Comapring to Classical Search Algorithms

• Implementing Shor's Factoring Algorithm and Comparing to Classical Factoring Algorithms

• Implementing a Quantum Teleport Protocol

• Solving the Lipkin Model with the Variational Quantum Eigensolver

• Simulating Error Propagation and Error Correction in a Noisy Quantum Circuit

• Quantum Machine Learning

• Performing Calculations on Real Quantum Computers