Antique.jl

Self-contained, well-tested, well-documented Analytical Solutions of Quantum Mechanical Equations.

Run the following code on the REPL or Jupyter Notebook to install this package.

]add Antique

Or specify the version like ]add Antique@0.11.1 to install a specific version. The version of this package can be found at ]status Antique.

Install Antique.jl for the first use and run using Antique before each use.

using Antique

The energy E(), the wave function ψ(), the potential V() and some other functions will be exported. There are two ways to avoid function name conflicts. Run import Antique instead of using Antique, and use the energy Antique.E(), the wave function Antique.ψ() and the potential Antique.V(). Or try giving other function names like using Antique: V as potential, E as energy, ψ as wavefuntion, HydrogenAtom. Here are examples for the hydrogen-like atom. The analytical notation of the energy (the eigen value of the Hamiltonian) is written as

The Hydrogen atom has the symbol $\mathrm{H}$ and atomic number 1 ($Z=1$). Therefore the ground state ($n=1$) energy is $-\frac{1}{2} E_\mathrm{h}$.

H = HydrogenAtom(Z=1)
E(H, n=1)
# output> -0.5

The Helium cation has the symbol $\mathrm{He}^+$ and atomic number 2 ($Z=2$). Therefore the ground state ($n=1$) energy is $-2 E_\mathrm{h}$.

He⁺ = HydrogenAtom(Z=2)
E(He⁺, n=1)
# output> -2.0

There are more examples on each model page.

• Delta Potential DeltaPotential
• Infinite Potential Well InfinitePotentialWell
• Harmonic Oscillator HarmonicOscillator
• PoschlTeller PoschlTeller
• Morse Potential MorsePotential
• Rigid Rotor RigidRotor
• Infinite PotentialWell 3D InfinitePotentialWell3D
• Spherical Oscillator SphericalOscillator
• Hydrogen Atom HydrogenAtom
• Coulomb 2-Body System CoulombTwoBody

This is an example of a variational calculation for the hydrogen atom based on Thijssen(2007). We check the accuracy of the numerical solution by comparison with the analytical solution. Comparing wavefunctions can be difficult, but Antique.jl makes it easy. You can extend it to excited states ($n>1$) as well as the ground state ($n=1$). Thus, Antique.jl is useful for testing numerical methods. We hope many numerical methods to be developed using Antique.jl.

# calculations based on Thijssen(2007) https://doi.org/10.1017/CBO9781139171397
using LinearAlgebra
α = [13.00773, 1.962079, 0.444529, 0.1219492] 
nₘₐₓ = length(α)
S = [(pi/(α[i]+α[j]))^(3/2) for i=1:nₘₐₓ, j=1:nₘₐₓ]
T = [3*pi^(3/2)*α[i]*α[j]/(α[i]+α[j])^(5/2) for i=1:nₘₐₓ, j=1:nₘₐₓ]
V = [-2*pi/(α[i]+α[j]) for i=1:nₘₐₓ, j=1:nₘₐₓ]
H = T + V
E, C = eigen(Symmetric(H),Symmetric(S))

# norm & energy
import Antique
HA = Antique.HydrogenAtom(Z=1, Eₕ=1.0, a₀=1.0, mₑ=1.0, ℏ=1.0)
println("Norm")
println("  numerical : ", transpose(C[:,1]) * S * C[:,1])
println("  analytical: ", 1)
println("Energy")
println("  numerical : ", E[1])
println("  analytical: ", Antique.E(HA,n=1))

# wave function
using CairoMakie
f = Figure(size=(420,300), fontsize=11.5)
ax = Axis(f[1,1], xlabel=L"$r$", ylabel=L"$\psi(r,0,0)$", limits=(0,4,0,0.6), ylabelsize=16.5, xlabelsize=16.5)
l1 = lines!(ax, 0:0.01:10, r -> sum(C[:,1] .* exp.(-α*r^2)))
l2 = lines!(ax, 0:0.01:10, r -> real(Antique.ψ(HA,r,0,0)), color=:black, linestyle=:dash, label="Antique.jl")
axislegend(ax, [l1,l2], ["Numerical, Thijssen(2007)","Analytical, Antique.jl"], position=:rt)
f

Norm
  numerical : 0.9999999999999997
  analytical: 1
Energy
  numerical : -0.49927840566748566
  analytical: -0.5

The candidate models are listed on the Wikipedia page of List of quantum-mechanical systems with analytical solutions. Please submit your requests and suggestions as issues on GitHub.

This is the guideline for adding new models. Adding a new model may take from a few days to a few weeks due to reference search, test implementation, and writing documentation.

1. First, please submit a new issue or comment here. I will assign you to the issue. We need to find orthodox references (textbooks or papers, not Wikipedia) for the analytical solutions (eigenvalues and eigenfunctions) before the development. This will take more time than you think.
2. Fork the repository on GitHub.
3. Clone the forked repository to your local machine by Git.
4. Please create 3 files:

5. Please rewrite 5 files:

6. Execute include("./dev/test.jl") to run tests. It will take few minutes to complete.
7. Execute include("./dev/docs.jl") to compile documents. HTML files (docs/build/*.html) will be generated. Please check them with Chrome or any other web browsers.
8. Commit and Push the codes.
9. Submit a pull request on GitHub.

Thanks to all contributors. This package was named by @KB-satou and @ultimatile. @MartinMikkelsen contributed to writing docstrings. Special thanks to @hyrodium for his help with managing the documentation and advice on coding style. @lhapp27 implemented 2 models, and @ajarifi implemented 3 models.