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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.

TopicProblem RouteRepresentative Skills
PrerequisitesSelf-Diagnostic Quiz and Diagnostic Checklistlinear algebra, probability, differential equations, Fourier readiness
Core formalismExercises and Problemsbasis changes, Born rule, commutators, projectors, density matrices
Wave mechanicsExercise Setsnormalization, boundary conditions, spectra, current
Canonical numerical systemsBenchmark Problemsgrid normalization, convergence, current conservation
Perturbation theoryAnharmonic Oscillator Perturbationmatrix elements, small parameters, first-order shifts
ScatteringGaussian Potential Born and WKB Barrier TunnelingBorn approximation, WKB, current, cross sections
Tensor productsTensor Product Exercisesproduct bases, local operators, basis ordering
Reduced statesPartial Trace Exercisesreduced density operators, local statistics
Identical particlesIdentical-Particle Exercisessymmetrization, antisymmetrization, exchange
Fock spaceFock-Space Exercisesoccupations, creation and annihilation operators
Quantum informationQuantum Information Problem Mapqubits, channels, stabilizers, entanglement measures
QFT bridgeQFT Bridge Problem Maposcillators 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.