QruiseOS
AI Technology DASHBOARD DATA ANALYSIS EDGE COMPUTING KNOWLEDGE MANAGEMENT MODEL DRIFT MODEL MONITORING MODEL PERFORMANCE MANAGEMENT MODEL VALIDATION SAAS SOLUTION SOFTWAREThe QruiseOS enables system characterisation experiments to be performed that allow a crude model of a quantum system to be created - a simplified digital twin.
This model can be used by the toolset to predict experimental results and enables optimal control. This is an optimisation aimed at finding the best control settings and pulses to perform the desired operations.
Since the model is imperfect, the result of optimal control is also imperfect. Therefore, a closed-loop calibration is performed - a model-free control optimisation to achieve better results.
Furthermore, the toolset can use the data observed during calibration to fine-tune the model, i.e. to improve the device characterisation. This is done by optimising the model parameters so that they best reflect the observed experimental data. The user can then improve the digital twin by extending the model and/or collecting more experimental data and re-running the characterisation procedure.