Machine learning on time traces of repetitive qubit readouts improves fidelity over threshold photon counting by identifying back-action.
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A hybrid quantization scheme enables efficient switching between first- and second-quantization in quantum circuits for molecular systems, claiming up to three orders of magnitude fewer ground-state preparations for 2-RDM measurements.
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Repetitive Readout Enhanced by Machine Learning
Machine learning on time traces of repetitive qubit readouts improves fidelity over threshold photon counting by identifying back-action.
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Optimizing Quantum Chemistry Simulations with a Hybrid Quantization Scheme
A hybrid quantization scheme enables efficient switching between first- and second-quantization in quantum circuits for molecular systems, claiming up to three orders of magnitude fewer ground-state preparations for 2-RDM measurements.