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Experimental control software (Python based) for automating a challenging Penning trap quantum simulator experiment I built during my PhD at the Quantum Contorl Lab, the University of Sydney.

HarrisonBall/experimental-control

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qsim-experimental-control

During my PhD at the University of Sydney, Quantum Contorl Lab, I built a challenging atomic physics experiment, now one of three in the world, including a working Penning trap, custom UV laser system & experimental control software (Python based), supporting quantum simulation research with hundreds of spin qubits.

This repository contains the experimental control software I wrote for automating control of this experimental system.

More information about this system experiment can be found in my PhD thesis:

Harrison B. Ball (2018).
Robust quantum control & verification & quantum simulation with trapped ions. Doctoral dissertation, http://hdl.handle.net/2123/17899, 2018, The University of Sydney

and in the follow-up publication

Harrison Ball, Christian D. Marciniak, Robert N. Wolf, Alex T.-H. Hung, Karsten Pyka, Michael J. Biercuk (2018).
Site-resolved imaging of beryllium ion crystals in a high-optical-access Pen- ning trap with in-bore optomechanics.
arXiv:1807.00902 [physics]

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Experimental control software (Python based) for automating a challenging Penning trap quantum simulator experiment I built during my PhD at the Quantum Contorl Lab, the University of Sydney.

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