Bulletin of the American Physical Society
53rd Annual Meeting of the APS Division of Atomic, Molecular and Optical Physics
Volume 67, Number 7
Monday–Friday, May 30–June 3 2022; Orlando, Florida
Session Z03: Focus Session: Machine Learning for Quantum Gases: Theory and Experiment
10:30 AM–12:06 PM,
Friday, June 3, 2022
Room: Grand Ballroom B
Chair: Shah Saad Alam, Rice
Abstract: Z03.00005 : Entropy: A Lab Manager Software That Lowers the Lab Entropy and Boosts Your Productivity
11:54 AM–12:06 PM
Presenter:
Gal Winer
(Quantum Machines)
Authors:
Nikola Sibalic
(Quantum Machines)
Guy Kerem
(Quantum Machines)
Gal Winer
(Quantum Machines)
We present Entropy, a software solution that manages complex experimental workflows, provides drilled-down views on the system in both real-time and off-line and ensures a consistent and future-proof record of lab operations. Entropy enables automatic calibration, easy debugging, and universally hyperlinked and searchable experiment-runs, results, and lab notebooks.
Entropy is a free and open-source solution with a modern web interface and modular architecture. It is built with the best open-source industry-standard stack, giving a performant out-of-box experience and innumerable options for customization and extensions. In this, we will show a live demonstration of how a researcher can use Entropy to improve their workflow.
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