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Orbital-Optimized Unitary Coupled Cluster for Indirect Nuclear Spin-Spin Coupling Constants within a Quantum Linear
Juliane H Fuglsbjerg1, Peter Reinholdt2, Erik Kjellgren2
1Department of Chemistry, University of Copenhagen, Universitetsparken 5, DK-2100 Copenhagen Ø, Denmark.
We developed a quantum linear response (qLR) method using unitary coupled cluster (UCC) for predicting nuclear spin-spin coupling constants. Orbital optimization significantly improves accuracy, matching classical computational chemistry results.
Area of Science:
- Quantum chemistry
- Computational spectroscopy
- Nuclear Magnetic Resonance (NMR)
Background:
- Indirect nuclear spin-spin coupling constants are crucial for interpreting NMR spectra.
- Accurate prediction of these constants requires sophisticated quantum chemical methods.
- Developing quantum computing-compatible methods is a key goal in computational chemistry.
Purpose of the Study:
- To present a quantum linear response (qLR) approach for calculating nuclear spin-spin coupling constants.
- To implement this approach using unitary coupled cluster (UCC) and orbital-optimized UCC (ooUCC) for quantum computing suitability.
- To assess the accuracy and impact of orbital optimization on coupling constant predictions.
Main Methods:
- Quantum linear response (qLR) theory applied within an active space framework.
- Unitary Coupled Cluster (UCC) and its orbital-optimized variant (ooUCC) ansatz.
- Comparison with established methods like CASCI, CASSCF, CCSD, and CC3.
Main Results:
- The qLR approach with UCC/ooUCC successfully computes spin-spin coupling constants.
- Results obtained are comparable to those from traditional classical methods.
- Orbital optimization in ooUCC significantly impacts the computed couplings, enhancing agreement with CCSD and CC3.
Conclusions:
- The qLR method with UCC/ooUCC is a viable approach for predicting NMR spin-spin coupling constants.
- Orbital response is a critical factor for achieving high accuracy in these predictions.
- The developed method shows promise for quantum computing applications in NMR spectroscopy.
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