The VQE Energy Curve for H2
Sweep the bond length of the hydrogen molecule and minimize a two-parameter ansatz to trace the ground-state energy well.
Problem
The variational quantum eigensolver (VQE) estimates a molecule's ground-state energy by minimizing the expectation value of its Hamiltonian over a parameterized trial state. For H2 in a minimal basis the problem reduces to a small effective Hamiltonian whose ground state a single rotation angle can reach.
Reduced model
In the minimal (STO-3G, two-orbital) picture the H2 Hamiltonian at a given bond length maps to a 2x2 effective matrix in the relevant symmetry sector. The variational energy is E(theta) =
import numpy as np
def H_of_R(R):
# illustrative 2x2 block: diagonal + coupling that grows near equilibrium
d=1.0/R; off=0.3*np.exp(-(R-0.74)**2)
return np.array([[ -1.0-d, -off],[-off, -0.5-0.5*d]])
Es=[]
for R in np.linspace(0.4,2.5,15):
H=H_of_R(R)
thetas=np.linspace(0,np.pi,200)
e=[ (np.cos(t/2)**2*H[0,0]+np.sin(t/2)**2*H[1,1]
+np.sin(t)*H[0,1]) for t in thetas]
Es.append(min(e))
print('minimum energy along curve',round(min(Es),3))
Result
Sweeping bond length and minimizing theta at each point traces a curve that falls to a minimum near the equilibrium separation, then rises as the atoms are pulled apart, the familiar molecular potential well. The variational minimum matches the exact ground state because a single rotation spans the two-dimensional sector exactly.
- VQE offloads the hard eigenvalue search to a classical optimizer looping over quantum measurements.
- Ansatz expressiveness limits accuracy: too few parameters cannot reach the true ground state for larger molecules.
- Kronos treats VQE-class methods as a research path for modeling REBCO and structural-material electronic structure, not present capability.