Pilote project testing a quantum state classifier based on distance matrix computation on a set of twenty highly entangled separable states. A Monte Carlo simulation is performed to determine the minimal state copies allowing to maintain the error below a given threshold.
Improvement and review of statistics after acquiring new data on three other devices. Show that the discrimination between the set elements is better using an empirical PDM rather than the ideal PDM, and this in devices with different measurement error fidelity and quantum volume. Compare different metrics. Test discrimination before and after error correction (mitigation, or other?), with or without delay between state creation and measurements.
spencerking
commented
3 years ago
Improvement and review of statistics after acquiring new data on three other devices. Show that the discrimination between the set elements is better using an empirical PDM rather than the ideal PDM, and this in devices with different measurement error fidelity and quantum volume. Compare different metrics. Test discrimination before and after error correction (mitigation, or other?), with or without delay between state creation and measurements.