qutech / qupulse

Quantum Computing Toolkit for Qubit Control
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Compensation for distortion and crosstalk #149

Open terrorfisch opened 6 years ago

terrorfisch commented 6 years ago

The user wants to define a pulse that is preferrably independent of experiment specific distortions(filters, bias-t, ...).

We need a way to make the compensation for that easy and general.

terrorfisch commented 6 years ago

Furthermore one may wants to compensate the pulse in channel A by some modification to channel B and vice versa.

I am preferring to put this into the HardwareSetupclass. There is already a mapping with an arbitary function. This needs to be extended to take all channels as arguments. This solves the crosstalk compensation issue.

The problem of (pre-)distortion can only be solved if the complete program is run through some kind of filter. It can obviously not be done locally as the transients between different waveforms have to be taken into account.

terrorfisch commented 6 years ago

Together with @pcerf I came up with the idea to do this during the sequencing controlled by flags bound to an identifier. In this way it can be made pulse template specific.

lumip commented 6 years ago

In the original design I would have placed it in a step after sequencing which would then carry out final logical channel to hardware mapping and also take care of hardware/setup specific error correction. However, I am not yet sufficiently aware of all the changes that were made to sequencing and waveforms to make a call here. Doing the correction during the sequencing would mess up the clean separation of sequencing into an abstract waveform sequence from actual hardware requirements and make the whole process more complicated, so I'd refrain from doing that if it all possible and practical.

terrorfisch commented 6 years ago

Implementation fo linear cross talk compensation in the Waveform class via a generalized Transformation class. There is no interface yet https://github.com/qutech/qc-toolkit/tree/issues/149_linear_crosstalk_compensation

Based on #312

Adds pandas dependency.