Q-MCC: Quantum Molecular Conformer Classifier — Chemical Accuracy on IBM Torino (133-qubit Heron r1)
Q-MCC: Quantum Molecular Conformer Classifier — Chemical Accuracy on IBM Torino (133-qubit Heron r1)
We present Q-MCC (Quantum Molecular Conformer Classifier), a variational quantum algorithm for molecular conformer screening validated on IBM Torino (133-qubit Heron r1 processor). Using 111 QPU jobs executed during the cycle 02.02–02.03.2026, we achieved chemical accuracy with Δ_FCI = 0.24 mHartree (threshold: 1.6 mHartree), confirmed 6 independent times. Q-MCC correctly identified the H₂ equilibrium geometry at r = 0.735 Å with 100% accuracy. Multi-molecule results include H₂ (2 qubits), LiH (4 qubits), and BeH₂ (6 qubits). All Job IDs are publicly verifiable at: https://github.com/ernestpusch26-maxwell/maxwell-qmcc-results
conformer screening, NISQ, VQE, IBM Quantum, Qiskit, chemical accuracy, quantum computing, molecular simulation
conformer screening, NISQ, VQE, IBM Quantum, Qiskit, chemical accuracy, quantum computing, molecular simulation
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