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Quantum Model Reference Catalog

The Model Encyclopedia catalogs reusable idealizations of quantum systems. A model card identifies the degrees of freedom, Hilbert space, dynamical law, parameters, observables, solvability, validity regime, and the canonical pages where its physics is derived.

A model is more than a Hamiltonian formula. The same matrix can describe a spin, two localized orbitals, or two atomic levels, while the same named model can change when its dimension, boundary conditions, interactions, statistics, or approximation scheme changes. The card’s job is to expose those choices before a formula is reused.

Question Start here
Which model introduces continuous spectra and wave packets? Free Particle
Which bound model introduces ladder operators and zero-point energy? Harmonic Oscillator
Which model organizes Coulomb spectra and orbital structure? Hydrogen Atom
Which ideal model shows magnetic quantization? Landau-Level System
Which finite model captures mixing, avoided crossings, and coherent transfer? Two-Level System
Which lattice models introduce quantum magnetism and criticality? Ising Chain, Heisenberg Chain, or XY Model
Which models contrast bosonic and fermionic statistics? Ideal Bose Gas and Ideal Fermi Gas
Which models combine hopping with local interactions? Hubbard or Bose–Hubbard
Which model introduces pairing and quasiparticles? BCS Model
Which models couple matter to one quantized mode? Rabi, Jaynes–Cummings, or Dicke
Which models isolate error-correction structure? Stabilizer Circuit or Surface Code
Which one-qubit models describe standard noise? Depolarizing Channel or Amplitude-Damping Channel
Which band models introduce topology or Dirac cones? SSH, Kitaev Chain, or Graphene Dirac Model

For a compact operator expression, use the Operator and Hamiltonian Library. For a single equation with assumptions and units, use the Formula Compendium. A model card answers the broader question: what physical or computational problem has been defined?

A useful specification can be summarized schematically as

M=(H,G,λ,O,I,R),\mathcal M = \left( \mathcal H, \mathcal G, \boldsymbol\lambda, \mathcal O, \mathcal I, \mathcal R \right),

where:

  • H\mathcal H is the Hilbert space, including tensor factors, particle statistics, geometry, and boundary conditions;
  • G\mathcal G is the dynamical law, such as a Hamiltonian, time-dependent propagator, quantum channel, or master-equation generator;
  • λ\boldsymbol\lambda is the set of physical parameters and controls;
  • O\mathcal O is the set of observables or operational outputs of interest;
  • I\mathcal I specifies initial states, ensembles, temperature, filling, or preparation procedures;
  • R\mathcal R states the regime, approximation hierarchy, and interpretation.

Not every card needs this notation, but every mature card must communicate the corresponding information. A Hamiltonian without its Hilbert space is incomplete, and a Hilbert space plus Hamiltonian may still be insufficient for an open, driven, thermal, or measurement-based model.

Each mature model card should make the following items findable without reconstructing them from prose.

Field What the card must state
One-sentence description The model’s physical setup and distinctive idealization
Degrees of freedom Particles, sites, modes, spins, fields, or logical qubits
Hilbert space Configuration space, tensor product or Fock space, statistics, and boundary data
Dynamical law Hamiltonian, channel, circuit rules, or master equation
Parameters Meanings, units, signs, allowed ranges, and control status
Solvability Exactly which quantity is exact, approximate, numerical, or unknown
Spectrum and states Relevant quantum numbers, sectors, degeneracies, and limits
Key observables Quantities that diagnose motion, response, correlations, phases, or errors
What it teaches The reusable conceptual or methodological lesson
Validity Idealizations, truncations, omitted interactions, and failure conditions
Canonical home One page or volume owning the full explanation
Resources Formula cards, worked examples, notebooks, benchmarks, and references
Variants Nearby models and the term that changes between them

A short card can satisfy this contract by linking outward. It should not reproduce a canonical derivation merely to appear self-contained.

Solvability is a statement about a specified model and specified outputs, not a prestige label.

Label Meaning
Exactly solvable A stated spectrum, eigenbasis, propagator, or observable has a closed analytic construction under declared assumptions
Integrable The model has enough conserved structure for a specialized exact method in a specified dimension, geometry, and sector
Quadratic or Gaussian A canonical transformation reduces the dynamics to independent modes
Perturbative Results are organized in a controlled small parameter and retained order
Asymptotic or semiclassical Accuracy is tied to a scale limit rather than convergence at fixed parameters
Mean-field Interactions are replaced by a self-consistent effective field; fluctuations are omitted or added separately
Numerically tractable A method and convergence test are known for a stated size, geometry, sign structure, or tensor-network regime
Phenomenological Parameters encode observed behavior without a complete microscopic derivation
Benchmark model The model is selected because independent analytic or numerical checks are available

Several labels can apply at once. A quadratic model may be exactly solvable; an interacting model may be integrable only in one dimension; a mean-field Hamiltonian may be diagonalized exactly after an uncontrolled approximation.

The phrase exact diagonalization names a finite-matrix numerical method. It does not mean that the underlying many-body family has a closed-form solution as system size grows.

Before accepting an exact claim, ask:

  1. Which Hamiltonian or dynamical map is meant?
  2. Which dimension and boundary conditions are assumed?
  3. Which parameter regime or symmetry sector is included?
  4. Which quantity is obtained exactly?
  5. Is the statement finite-size, thermodynamic-limit, ground-state, equilibrium, or dynamical?

Exactly Solvable Models collects controlled laboratories for spectra, eigenstates, propagation, and scattering.

Model Defining structure What is solved Canonical use
Free Particle Kinetic energy on a stated geometry Fourier-diagonal spectrum and propagation Continuous spectra, packets, normalization
Harmonic Oscillator Positive quadratic Hamiltonian Complete number-state spectrum and dynamics Ladder operators, Gaussian states, normal modes
Hydrogen Atom Nonrelativistic Coulomb two-body reduction Bound spectrum and separated eigenstates Central potentials, angular structure, degeneracy
Landau-Level System Ideal charged particle in a uniform magnetic field Landau levels and degeneracy structure Gauge choice, magnetic quantization, edge of QH physics
Pöschl–Teller Potential Special hyperbolic well or barrier family Parameter-dependent bound or scattering data Shape invariance and reflectionless cases

Exactness is conditional. Boundaries alter the free spectrum, anharmonicity alters oscillator spacing, relativistic and radiative corrections alter hydrogen, disorder lifts ideal Landau degeneracy, and only specific Pöschl–Teller parameterizations possess the advertised closed forms.

Spin Models ranges from one effective two-state degree of freedom to interacting chains.

Model Degrees of freedom Main structure Solution character
Two-Level System One C2\mathbb C^2 sector General Hermitian 2×22\times2 dynamics Exactly diagonalizable when static
Ising Chain Local spins on a chain Ising exchange with specified field Classical or quantum; integrability is version-dependent
Heisenberg Chain Local spins with exchange Rotationally symmetric or anisotropic couplings Bethe-ansatz integrable in important one-dimensional cases
XY Model Planar spin chain Anisotropic xx-yy exchange and field Standard one-dimensional forms map to quadratic fermions

For spin chains, state the spin representation, lattice, interaction range, anisotropy, field direction, operator normalization, coupling sign, and boundary conditions. The label Heisenberg model alone does not select one Hamiltonian.

Many-Body Models identifies statistics, ensembles, interactions, phases, and solution methods. The Many-Body Model Encyclopedia owns the more detailed convention-complete dossiers.

Model Defining structure Main observables Solution character
Ideal Fermi Gas Noninteracting fermionic modes Occupations, Fermi energy, equation of state Mode-factorized; geometry and ensemble still matter
Ideal Bose Gas Noninteracting bosonic modes Occupations, condensate fraction, thermodynamics Mode-factorized; condensation depends on dimension and limit
Hubbard Model Fermion hopping plus onsite interaction Correlations, magnetism, charge response General problem numerical; exact in special limits and cases
Bose–Hubbard Model Boson hopping plus onsite interaction Number fluctuations, coherence, Mott and superfluid diagnostics Approximate or numerical in general
BCS Model Reduced pairing interaction Gap, quasiparticle spectrum, condensate response Standard treatment is a controlled or phenomenological mean-field reduction

Particle number, chemical potential, temperature, filling, dimensionality, lattice geometry, and thermodynamic limit are model data. A phase diagram cannot be transported between conventions without translating them.

Light–Matter Models compares few-mode quantum-optical Hamiltonians.

Model Matter and field content Terms retained Solution character
Rabi Model One two-level system and one bosonic mode Rotating and counter-rotating couplings Analytic structure plus truncation or specialized methods
Jaynes–Cummings Model One two-level system and one bosonic mode Rotating-wave excitation exchange Exactly block diagonal under its assumptions
Dicke Model Many two-level systems and one collective mode Convention-dependent collective coupling Symmetry reduction, approximations, and numerical treatment

Specify whether the field is classical or quantized, how gg is normalized, whether the rotating-wave approximation is made, how many emitters and modes are retained, and whether drive or loss is present. The Jaynes–Cummings model is not the full dipole-coupling Hamiltonian.

Quantum Information Models includes operational circuit, code, and channel models as well as Hamiltonian systems.

Model Mathematical object Main use Essential scope
Stabilizer Circuit Clifford operations, Pauli preparations and measurements Efficient algebraic tracking and code structure Not every efficiently simulable circuit is a stabilizer circuit
Surface Code Local stabilizer code with boundaries and syndrome extraction Logical encoding and fault-tolerance studies Performance depends on noise model, circuit, decoder, and geometry
Depolarizing Channel One-qubit completely positive trace-preserving map Isotropic noise benchmark Parameter conventions differ across sources
Amplitude-Damping Channel Nonunital completely positive trace-preserving map Energy-relaxation benchmark Preferred basis and time parameter must be stated

A quantum channel is a dynamical map on density operators, not a Hamiltonian. A code model requires physical-qubit layout, checks, logical operators, syndrome protocol, and decoder before a threshold or resource claim becomes meaningful.

Condensed-Matter Models collects lattice and low-energy band models.

Model Defining structure Main lesson Validity boundary
Tight-Binding Chain Orbitals with hopping on a one-dimensional lattice Band formation and boundary-sensitive modes Truncated orbital and hopping basis
Graphene Dirac Model Two-sublattice low-energy expansion near valleys Dirac cones, chirality, and valley structure Valid near the expansion points and within retained terms
SSH Model Alternating nearest-neighbor hopping Chiral symmetry, winding, and boundary states Topological statement assumes a gap and symmetry
Kitaev Chain Spinless p-wave superconducting chain Bogoliubov form and Majorana boundary modes Mean-field, symmetry, gap, and boundary assumptions

For every band model, record lattice vectors, unit cell, orbital ordering, Brillouin-zone convention, filling, boundary termination, interactions, disorder, and protecting symmetries. A band Hamiltonian is not a complete microscopic material description.

When deciding whether two formulas describe the same model, compare the following in order.

  1. Degrees of freedom: particle coordinates, sites, modes, spins, internal levels, or logical qubits.
  2. State space: first quantization, Fock space, tensor-product spins, code subspace, or operator space.
  3. Statistics and constraints: bosonic, fermionic, distinguishable, gauge constrained, fixed parity, or hard-core.
  4. Geometry: continuum or lattice, dimensionality, topology, and boundary conditions.
  5. Dynamics: closed Hamiltonian, driven Hamiltonian, channel, circuit, or master equation.
  6. Parameters: dimensions, signs, normalization, control protocol, and scale hierarchy.
  7. Symmetries: exact, approximate, explicitly broken, or emergent.
  8. Observables: spectrum, scattering, correlations, response, order parameters, logical errors, or trajectories.
  9. State or ensemble: initial preparation, particle number, filling, temperature, or steady-state condition.
  10. Solution claim: quantity, method, approximation order, finite-size regime, and convergence evidence.

Two Hamiltonians related by a unitary basis change may define the same abstract closed-system dynamics while their physical observables use different dictionaries. Conversely, identical-looking formulas on different domains or tensor factors can define different models.

Need Canonical layer
Compact operator expression and domain Operator and Hamiltonian Library
Physical setup and model taxonomy Model card in this encyclopedia
Full explanation or derivation Subject volume linked by the card
Reusable equation with assumptions Formula Compendium
Numerical implementation and convergence Software, Notebooks, and Benchmarks
Convention-complete many-body dossier Many-Body Model Encyclopedia
Experimental realization Application or experiment page in the relevant volume

This division enforces one canonical home. The model card states what is being modeled and where to continue; it does not become a second textbook chapter.

Before importing a result from one model into another, verify:

  • the Hilbert space and operator domain agree;
  • the same boundary conditions and geometry are used;
  • all parameters have compatible units, signs, and normalizations;
  • the same particle statistics, spin content, and tensor ordering apply;
  • the model is closed, driven, open, thermal, or measurement-based in the same sense;
  • the cited solution concerns the desired observable and parameter regime;
  • finite-size and thermodynamic-limit statements are not mixed;
  • an effective truncation remains separated from omitted states;
  • an exact statement has not been inherited from an approximate Hamiltonian without qualification;
  • numerical claims include convergence against basis size, lattice size, time step, bond dimension, sampling error, or another relevant control.
  • Treating a model name as a complete mathematical specification.
  • Assuming one standard convention exists for every named Hamiltonian.
  • Calling a physical system exactly solvable because an idealized limit is solvable.
  • Presenting a mean-field diagonalization as an exact solution of the interacting model.
  • Using exact diagonalization as a synonym for analytic exact solvability.
  • Generalizing an integrability statement across dimensions, boundary conditions, anisotropies, or perturbations.
  • Comparing phase diagrams without translating coupling and filling conventions.
  • Confusing bare model parameters with directly measured observables.
  • Treating a low-energy effective model as valid across the entire spectrum or Brillouin zone.
  • Calling a noise channel a Hamiltonian.
  • Quoting a code threshold without its noise model and decoder.
  • Duplicating a canonical derivation inside several model cards.

The Hamiltonian

H^=ϵσz−Jσx\hat H=\epsilon\sigma_z-J\sigma_x

can describe a spin-1/21/2 in a magnetic field or a particle restricted to two localized sites. List model data that distinguish the two realizations even though their spectra agree.

Solution

Both have eigenvalues

E±=±ϵ2+J2.E_\pm=\pm\sqrt{\epsilon^2+J^2}.

For a physical spin, the basis may be eigenstates of SzS_z, the Pauli matrices represent spin components, and ϵ\epsilon and JJ are components of a magnetic or effective field multiplied by the magnetic moment convention. Position is not represented by σz\sigma_z unless an additional encoding is declared.

For two localized sites, the basis states identify left and right orbitals, ϵ\epsilon is a site-energy bias, JJ is a tunneling amplitude, and σz\sigma_z is proportional to the population imbalance. Spatial position, current, and coupling to electric fields use the site dictionary.

The abstract unitary dynamics is equivalent after the parameter map, but preparations, observables, environmental couplings, and the validity of the two-state truncation differ. The model card must state those data.

Critique the sentence: “The Heisenberg model is exactly solvable.” Rewrite it as a defensible reference claim.

Solution

The sentence leaves the lattice, dimension, spin, interaction range, anisotropy, field, boundary conditions, and target quantity unspecified. Generic Heisenberg models are not covered by one exact solution.

A defensible version is: “The one-dimensional nearest-neighbor spin-1/21/2 isotropic Heisenberg chain is Bethe-ansatz integrable under standard boundary choices; obtaining a particular finite-size or thermodynamic observable still requires the corresponding Bethe equations and limit.” Related XXZ chains also have integrable regimes, but adding generic longer-range couplings, disorder, or fields can destroy that structure.

This revision identifies the model family, method, and scope without implying that every geometry and observable has a simple closed form.

  • R. Shankar, Principles of Quantum Mechanics, 2nd ed., Springer, 1994.
  • J. J. Sakurai and J. Napolitano, Modern Quantum Mechanics, 3rd ed., Cambridge University Press, 2020.
  • C. Cohen-Tannoudji, B. Diu, and F. Laloë, Quantum Mechanics, 2 vols., Wiley, 1977.
  • A. Altland and B. Simons, Condensed Matter Field Theory, 2nd ed., Cambridge University Press, 2010.
  • S. Sachdev, Quantum Phase Transitions, 2nd ed., Cambridge University Press, 2011.
  • M. O. Scully and M. S. Zubairy, Quantum Optics, Cambridge University Press, 1997.
  • M. A. Nielsen and I. L. Chuang, Quantum Computation and Quantum Information, Cambridge University Press, 2010.
  • H.-P. Breuer and F. Petruccione, The Theory of Open Quantum Systems, Oxford University Press, 2002.