Lecture 3, Tues Jan 24: Basic Rules of QM Tensor products are a way of building bigger vectors out of smaller ones. Let’s apply a NOT operation to the first bit, and do nothing to the second bit. That’s really the sa

Source URL: www.scottaaronson.com

• Quantum mechanics
• Physics
• Theoretical computer science
• Quantum information science
• Quantum states
• Quantum computing
• Information theory
• Qubit
• Mathematical formulation of quantum mechanics
• Unitary matrix
• Quantum superposition
• Matrix

Lecture 12, Thurs Feb 23: Interpretation of QM (Copenhagen, Dynamical Collapse, MWI, Decoherence) At this point in the course, we’re finally in a position to step back and ask,“What is quantum mechanics telling us ab

Source URL: www.scottaaronson.com

• Quantum mechanics
• Physics
• Quantum measurement
• Interpretations of quantum mechanics
• Quantum information science
• Quantum computing
• Many-worlds interpretation
• Measurement problem
• Schrdinger's cat
• Quantum entanglement
• Qubit
• Copenhagen interpretation

Lecture 2, Thurs Jan 19: Probability Theory and QM Feynman said that everything about quantum mechanics could be encapsulated in the ​Double Slit Experiment. In the double-slit experiment, you shoot photons one at a ti

Source URL: www.scottaaronson.com

• Physics
• Quantum mechanics
• Quantum superposition
• Double-slit experiment
• Probability distribution
• Photon
• Introduction to quantum mechanics
• Electron
• Quantum decoherence
• Quantum computing
• Probability amplitude
• Negative probability

PDF Document

Source URL: qm.phil-fak.uni-koeln.de

PDF Document

Source URL: qm.phil-fak.uni-koeln.de

PDF Document

Source URL: qm.phil-fak.uni-koeln.de

PDF Document

Source URL: qm.phil-fak.uni-koeln.de

PDF Document

Source URL: qm.phil-fak.uni-koeln.de

PDF Document

Source URL: qm.phil-fak.uni-koeln.de

PDF Document

Source URL: qm.phil-fak.uni-koeln.de