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LEARNING PATHWAY

Quantum Monte Carlo

Variational sampling, projection, and the sign problem.

Learning sequence

  1. Variational Monte Carlo and local energy — Rewrite a quantum expectation as a sampled local-energy average.
  2. Imaginary time and diffusion Monte Carlo — Derive drift-diffusion and separate nodal, timestep and sampling errors.
  3. Path integrals, ring polymers, and the sign problem — Derive a closed imaginary-time path and understand exchange cancellation.

Read in sequence. Each lesson states its assumptions, derivation steps, and domain of validity.

Quantum Monte Carlo