Improving dispersive readout of a superconducting qubit by machine learning on path signature
One major challenge that arises from quantum computing is to implement fast, high-accuracy quantum state readout. For superconducting circuits, this problem reduces to a time series classification problem on readout signals. We propose that using path signature methods to extract features can enhanc...
| Main Authors: | , , , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
2023
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