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The Physics of Information

MIT
#Information Theory #Physics #Education

Course Overview

I developed and taught this special course at MIT exploring the deep connections between physical systems and information processing.

Topics Covered

Information Theory Fundamentals

  • Entropy and thermodynamics
  • Maxwell’s demon and information
  • Landauer’s principle (physical limits of computation)

Quantum Information

  • Quantum entropy
  • Superposition and entanglement
  • Quantum computing basics

Computation and Physics

  • Reversible computing
  • Energy costs of computation
  • The physical limits of information processing

Teaching Philosophy

I believe in:

  1. Hands-on experimentation: Students built simple information processing devices
  2. Mathematical rigor: Formally proving all major results
  3. Historical perspective: Understanding how ideas developed

Student Projects

Students explored topics like:

  • Building mechanical entropydemonstrations
  • Analyzing biological information systems
  • Simulating quantum information processing

Impact

This course influenced generations of students who went on to work in quantum computing, bioinformatics, and the physics of computation.

Information sits at the intersection of mathematics, physics, and engineering.