Two-qubit CZ gates robust against charge noise in silicon while
compensating for crosstalk using neural network
- URL: http://arxiv.org/abs/2202.00572v3
- Date: Tue, 28 Jun 2022 19:45:42 GMT
- Title: Two-qubit CZ gates robust against charge noise in silicon while
compensating for crosstalk using neural network
- Authors: David W. Kanaar, Utkan G\"ung\"ord\"u, J. P. Kestner
- Abstract summary: A two-qubit gate is robust against charge noise errors while also taking crosstalk into account.
We present a method of using a deep neural network to optimize the components of an analytically designed composite pulse sequence.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The fidelity of two-qubit gates using silicon spin qubits is limited by
charge noise. When attempting to dynamically compensate for charge noise using
local echo pulses, crosstalk can cause complications. We present a method of
using a deep neural network to optimize the components of an analytically
designed composite pulse sequence, resulting in a two-qubit gate robust against
charge noise errors while also taking crosstalk into account. We analyze two
experimentally motivated scenarios. For a scenario with strong EDSR driving and
negligible crosstalk, the composite pulse sequence yields up to an order of
magnitude improvement over a simple cosine pulse. In a scenario with moderate
ESR driving and appreciable crosstalk such that simple analytical control
fields are not effective, optimization using the neural network approach allows
one to maintain order-of-magnitude improvement despite the crosstalk.
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