Benchmark

N2 Dissociation Curve Benchmark

VQE with UCCSD / Contextual Subspace VQE · Chemistry · 12 qubits · Qiskit Nature, PennyLane, TenCirChem

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.

VQEUCCSDnitrogendissociationchemistrystrong-correlation

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.

Key Metrics
Qubits used
12
Key method
Contextual Subspace VQE
Why It Matters

The N2 triple bond is a stringent test of strongly correlated methods — success here indicates readiness for industrially relevant chemistry problems.

Hardware

IBM Quantum, simulators

Framework

Qiskit Nature, PennyLane, TenCirChem