Teaching archive

Quantum computing meets physics.

Guest lecture notes for Computational Physics, April 26, 2022.

  1. Remember to do your AEFIS surveys.

  2. The big application of quantum computing is as follows.

    1. We wish to understand various physical systems like

      1. protein folding,

      2. molecules in rechargeable batteries,

      3. photosynthesis

    2. Their behavior depends on quantum physics.

    3. The equations have no closed forms, but must be simulated.

    4. Simulating a quantum phenomenon on a classical computer carries an exponential penalty compared to simulating it on a quantum computer.

  3. There are also math problems where no physics is involved but the quantum algorithms are faster than the classical ones.

  4. I'll go over my quantum computing summary, presented to various RPI groups.

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