2023 Fall: Quantum for Engineers
Time: Tuesday, Thursday, 56:15pm
Course syllabus
Lecture recordings from 2020 fall semester are available in the Youtube playlist: https://www.youtube.com/playlist?list=PL1oGCa9XVlcT_pMxTSlPMtDHCOzER98zSLinks to an external site.
Prerequisites:
APMA 1110  Single Variable Calculus II, APMA 2120  Multivariable Calculus, PHYS 1425  General Physics I: Mechanics, Thermodynamics
Note: PHYS 1425 and APMA 2130 can be taken at the same time with this course. Only a small fraction of the content in these two courses will be used in this quantum class.
Examinations and Grading: Homework (40%), Midterm exam (midterm exam 30%, final exam 30%), or Mini project to substitute final exam (30%).
Textbook (recommend):
Introduction to Quantum Mechanics, by David J. Griffiths.
Quantum Mechanics for Scientists and Engineers, by David A. B. Miller.
Quantum Mechanics in Simple Matrix Form, by Thomas Jordan.
Reading Material:
Quantum Computation and Quantum Information, by Michael Nielsen and Isaac Chuang.
Course description:
Quantum mechanics is one of the most important discoveries in the 20thcentury and has reshaped today’s science and technology. The rapid development in quantum computation and information is calling for a revolution in engineering and computation. Quantum information and quantum computing is fundamentally different from the classical computers. In order to understand how to build and use a quantum computer, we will review the birth of quantum mechanics and introduce the basic ideas and principles of quantum mechanics. The fundamental concepts in quantum information and computing, such as qubit, entanglement and squeezing, will be discussed. Finally, we will take a quick tour at the physics platform candidates for quantum computing implementation, and the IBM Q quantum computing resources.
Course objectives:
1. To expose our students to the basic concepts and principles of quantum mechanics.
2. To provide students with the tool to solve simple quantum problems using Schrödinger equation.
3. To introduce the ideas and concepts of quantum computation and quantum information.
Note: The course will differentiate itself from the Quantum Mechanics course (PHY 3650, 3660) taught in Physics department. We will not explore the contents where nontrivial mathematical formalism, such as complex Hilbert space, are required. Contents that are physics oriented will be avoided as well, such as identical particle statistics, the variational principle, the WKB approximation, scattering and partial wave analysis.
Course outline:
Chapter 1: Introduction to the quantum world

Can you win this probability game? A peek of Schrodinger’s cat and uncertainty principle.

Where it started: the cloud of classical physics  ultraviolet catastrophe.

Quanta? Photoelectric Effect.

Particle and wave duality for electron in hydrogen atom.
Chapter 2: Quantum 101

The birth of Schrödinger equation.

The probability wave and Schrödinger’s cat.

Quantum operators and uncertainty principle.

The Postulates of quantum mechanics.
Chapter 3: Physics system with quantum mechanics

Quantum well system: a quantum system in your iPhone.

Practice quantum postulates with quantum well system.

Harmonics Oscillator and photons.

Prepare for quantum information/computation: Dirac notation.
Chapter 4: Quantum information 101

Qubit: why is it better than classical bit?

The EPR paradox: do qubits communicate fast than speed of light?

Entanglement 1: teleportation.

Entanglement 2: quantum cryptography and key distribution no eavesdropper.
Chapter 5: Quantum computer 101

Quantum gate vs. classical gate.

Quantum algorithm.

How to build a quantum computer?

Handson time: the IBM Q quantum computer.