Skip to content

Quantum Integrability

Learn finite quantum chains through magnon scattering, Bethe equations and commuting transfer matrices, with preparation in complex linear algebra.

For preparation, use Eigenvalues, commutators & tensor products to check complex norms, ordered tensor bases and invariant sectors with explicit small matrices.

Begin with the XXX spin-chain sequence: build the Hamiltonian, solve one magnon, derive two-magnon scattering and ring quantization, then check a Bethe eigenvector against exact diagonalization. The six steps have worked examples, practice and solutions.

Then follow four lessons on the algebraic mechanism: verify a rational R-matrix, build monodromy and transfer matrices, derive commuting charges and the Hamiltonian, then construct regular Bethe eigenvectors. You can enter this sequence directly if tensor products and the spin-chain Hamiltonian are already familiar.

Use that state in two lessons on observables: normalize a Bethe vector, calculate spin matrix elements, and reconstruct an exact finite-chain correlation. Selection rules and sum rules expose mistakes that an energy spectrum alone cannot detect. The chapter map links these sequences and describes further planned coverage, including thermodynamics.

Readings and planned coverage

CHAPTER 01

Spins & Scattering

CHAPTER 02

The Quantum-Gas Route

Planned coverage

  • Derive contact-interaction matching
  • Solve two Lieb-Liniger bosons
  • Build many-particle Bethe equations
  • Check the Tonks-Girardeau limit

CHAPTER 03

The Algebraic Mechanism

CHAPTER 04

The Thermodynamic Limit

Planned coverage

  • From roots to densities
  • Find an interacting ground state
  • Introduce entropy and TBA
  • Solve one TBA equation with checks

CHAPTER 05

From Spectra to Observables

Planned coverage

  • Compare conserved charges after a quench

CHAPTER 06

Extend the Quantum Toolbox

Planned coverage

  • Read a TQ equation
  • A first nested Bethe ansatz
  • Quantum course synthesis & exit tasks

Looking for a different way into the subject?

Learning routesLibraryModel atlasReference