σ-VQE uses low-depth circuits and an energy-selective cost function to preferentially prepare quantum many-body scar states on NISQ devices.
Benchmarking variational quantum eigensolvers for quantum chemistry
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A DMET-VQE co-optimization framework reduces qubit requirements and enables equilibrium geometry optimization for molecules up to the size of glycolic acid C2H4O3.
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$\sigma$-VQE: Excited-state preparation of quantum many-body scars with shallow circuits
σ-VQE uses low-depth circuits and an energy-selective cost function to preferentially prepare quantum many-body scar states on NISQ devices.
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Large-scale Efficient Molecule Geometry Optimization with Hybrid Quantum-Classical Computing
A DMET-VQE co-optimization framework reduces qubit requirements and enables equilibrium geometry optimization for molecules up to the size of glycolic acid C2H4O3.