N2 Dissociation Curve Benchmark
Benchmark of quantum chemistry methods for computing the potential energy curve of molecular nitrogen (N2) dissociation. The N2 triple bond makes this a challenging test of strongly correlated electron methods. Contextual Subspace VQE has been demonstrated on superconducting quantum hardware for the entire N2 potential energy curve, while cyclic VQE variants achieve chemical accuracy even where standard UCCSD errors increase significantly.[1]
- Algorithm: VQE with UCCSD / Contextual Subspace VQE
- Category: chemistry
- Qubits: 12
- Framework: Qiskit Nature, PennyLane, TenCirChem
- Hardware: IBM Quantum, simulators
- Reproducible: Yes
- Published:
- VQE
- UCCSD
- nitrogen
- dissociation
- chemistry
- strong-correlation
What algorithm does N2 Dissociation Curve Benchmark use?
N2 Dissociation Curve Benchmark uses the VQE with UCCSD / Contextual Subspace VQE algorithm, categorized under chemistry.
Frequently Asked Questions
What is the N2 Dissociation Curve Benchmark benchmark?
Benchmark of quantum chemistry methods for computing the potential energy curve of molecular nitrogen (N2) dissociation. The N2 triple bond makes this a challenging test of strongly correlated electron methods. Contextual Subspace VQE has been demonstrated on superconducting quantum hardware for the entire N2 potential energy curve, while cyclic VQE variants achieve chemical accuracy even where standard UCCSD errors increase significantly.
Is N2 Dissociation Curve Benchmark reproducible?
Yes, this benchmark is reproducible.