VQE H2 Ground State - Peruzzo et al. 2014
Overview
Reproduction of the original VQE paper - the first experimental demonstration of the Variational Quantum Eigensolver on a photonic quantum processor.
| Property | Value |
|---|---|
| Category | Research |
| Difficulty | Advanced |
| Framework | Qiskit |
| Qubits | 2 |
| Paper | Nature Communications 5, 4213 (2014) |
The Original Experiment
Peruzzo et al. demonstrated VQE on a photonic chip to find the ground state energy of molecular hydrogen (H2). This was the first practical quantum chemistry calculation on quantum hardware.
Key Innovation
- Classical-quantum hybrid optimization
- Shallow circuit amenable to NISQ devices
- Proof-of-concept for quantum chemistry
The H2 Hamiltonian
In the minimal (STO-3G) basis, H2 maps to 2 qubits:
CODEH = g₀I + g₁Z₀ + g₂Z₁ + g₃Z₀Z₁ + g₄(X₀X₁ + Y₀Y₁)
At equilibrium (R = 0.74 Å):
- g₀ = -1.0523 (constant)
- g₁ = 0.3979 (Z on qubit 0)
- g₂ = -0.3979 (Z on qubit 1)
- g₃ = -0.0112 (ZZ correlation)
- g₄ = 0.1809 (XX + YY exchange)
Circuit Ansatz
The minimal UCCSD ansatz for H2:
CODE┌───┐ q_0: ┤ X ├──────────●─── └───┘┌───────┐┌─┴─┐ q_1: ─────┤ RY(θ) ├┤ X ├ └───────┘└───┘
Only one parameter θ is needed for H2 at any bond length!
Running the Circuit
PYTHONfrom circuit import run_circuit # Reproduce dissociation curve (Figure 3 from paper) result = run_circuit( bond_lengths=[0.3, 0.5, 0.74, 1.0, 1.5, 2.0, 2.5, 3.0], n_steps=30 ) for r, data in result['bond_length_scan'].items(): print(f"R = {r:.2f} Å: E = {data['energy']:.4f} Ha") print(f"Chemical accuracy: {result['chemical_accuracy']}")
Expected Results
Dissociation Curve
| Bond Length (Å) | VQE Energy (Ha) | Exact (Ha) |
|---|---|---|
| 0.30 | ~-0.2 | -0.23 |
| 0.50 | ~-0.9 | -0.95 |
| 0.74 | ~-1.13 | -1.137 |
| 1.00 | ~-1.07 | -1.101 |
| 1.50 | ~-0.98 | -1.015 |
| 2.00 | ~-0.95 | -0.978 |
Key Metrics
- Equilibrium energy: -1.1373 Ha (exact)
- Chemical accuracy: < 1.6 mHa error
- Optimal θ: ~3.14 radians at equilibrium
Historical Significance
This paper:
- Introduced VQE as a practical algorithm
- First quantum chemistry on real quantum hardware
- Hybrid approach for NISQ devices
- Sparked the field of variational quantum algorithms
Paper Citation
BIBTEX@article{peruzzo2014variational, title={A variational eigenvalue solver on a photonic quantum processor}, author={Peruzzo, Alberto and McClean, Jarrod and others}, journal={Nature Communications}, volume={5}, pages={4213}, year={2014} }