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Problems by Topic

Use this page when you know the subject area. Use Problems by Method when the technique, rather than the topic, is the important part.

Topic Problem Route Representative Skills
Prerequisites Self-Diagnostic Quiz and Diagnostic Checklist linear algebra, probability, differential equations, Fourier readiness
Core formalism Exercises and Problems basis changes, Born rule, commutators, projectors, density matrices
Wave mechanics Exercise Sets normalization, boundary conditions, spectra, current
Canonical numerical systems Benchmark Problems grid normalization, convergence, current conservation
Perturbation theory Anharmonic Oscillator Perturbation matrix elements, small parameters, first-order shifts
Scattering Gaussian Potential Born and WKB Barrier Tunneling Born approximation, WKB, current, cross sections
Tensor products Tensor Product Exercises product bases, local operators, basis ordering
Reduced states Partial Trace Exercises reduced density operators, local statistics
Identical particles Identical-Particle Exercises symmetrization, antisymmetrization, exchange
Fock space Fock-Space Exercises occupations, creation and annihilation operators
Quantum information Quantum Information Problem Map qubits, channels, stabilizers, entanglement measures
QFT bridge QFT Bridge Problem Map oscillators to fields, second quantization, scattering bridges

If a problem names a system, begin by topic. If it asks you to “show”, “derive”, “estimate”, “diagonalize”, “trace out”, or “check convergence”, begin by method. Many mature problems appear in both routes.

  • Treating a density-matrix problem as a state-vector problem because the Hilbert space is two-dimensional.
  • Treating a scattering problem as a bound-state normalization problem.
  • Treating an identical-particle problem as an ordinary distinguishable tensor product.
  • Treating a numerical benchmark as a plotting task rather than a convergence problem.
  • D. J. Griffiths and D. F. Schroeter, Introduction to Quantum Mechanics, 3rd ed., Cambridge University Press, 2018.
  • R. Shankar, Principles of Quantum Mechanics, 2nd ed., Springer, 1994.
  • M. A. Nielsen and I. L. Chuang, Quantum Computation and Quantum Information, Cambridge University Press, 2010.