Software tool-set for automated quantum system identification and device bring up

• URL: http://arxiv.org/abs/2205.04829v1
• Date: Tue, 10 May 2022 12:06:53 GMT
• Title: Software tool-set for automated quantum system identification and device bring up
• Authors: Anurag Saha Roy, Kevin Pack, Nicolas Wittler and Shai Machnes
• Abstract summary: We present a software tool-set which combines the theoretical, optimal control view of quantum devices with the practical operation and characterization tasks. We perform model-based simulations to create control schemes, calibrate these controls in a closed-loop with the device. Finally, we improve the system model through minimization of the mismatch between simulation and experiment, resulting in a digital twin of the device.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We present a software tool-set which combines the theoretical, optimal control view of quantum devices with the practical operation and characterization tasks required for quantum computing. In the same framework, we perform model-based simulations to create control schemes, calibrate these controls in a closed-loop with the device (or in this demo - by emulating the experimental process) and finally improve the system model through minimization of the mismatch between simulation and experiment, resulting in a digital twin of the device. The model based simulator is implemented using TensorFlow, for numeric efficiency, scalability and to make use of automatic differentiation, which enables gradient-based optimization for arbitrary models and control schemes. Optimizations are carried out with a collection of state-of-the-art algorithms originated in the field of machine learning. All of this comes with a user-friendly Qiskit interface, which allows end-users to easily simulate their quantum circuits on a high-fidelity differentiable physics simulator.

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