Electronic Resource

entropylab

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: entropylab
Συγγραφείς: Quantum Machines
Στοιχεία εκδότη: Zenodo
Έτος έκδοσης: 2021
Συλλογή: Zenodo
Περιγραφή: Entropy Entropy is a lab workflow managment package built for, but not limitied-to, streamlining the process of running quantum information processing experiments. Entropy is built to solve a few major hurdles in experiment design: Building, maintaining and executing complex experiments Data collection Device management Calibration automation To tackle these problems, Entropy is built around the central concept of a graph strucutre. The nodes of a graph give us a convenient way to brake down experiments into stages and to automate some of the tasks required in each node. For example data collection is automated, at least in part, by saving node data and code to a persistant database. Device managment is the challange of managing the state and control of a variety of different resources. These include, but are not limited to, lab instrumnets. They can also be computational resources, software resources or others. Entropy is built with tools to save such resources to a shared database and give nodes access to the resources needed during an experiment. Performing automatic calibration is an important reason why we built Entropy. This could be though of as the usecase most clearly benefiting from shared resources, persistant storage of different pieced of information and the graph structure. If the final node in a graph is the target experiment, then all the nodes between the root and that node are often calibration steps. The documentation section will show how this can be done. The Entropy system is built with concrete implemnetations of the various parts (database backend, resource managment and others) but is meant to be completely customizable. Any or every part of the system can be tailored by end users.
Τύπος εγγράφου: software
Γλώσσα: unknown
Relation: https://zenodo.org/records/4785097; oai:zenodo.org:4785097; https://doi.org/10.5281/zenodo.4785097
DOI: 10.5281/zenodo.4785097
Διαθεσιμότητα: https://doi.org/10.5281/zenodo.4785097
https://zenodo.org/records/4785097
Αριθμός Καταχώρησης: edsbas.D1F681A7
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  Data: Entropy Entropy is a lab workflow managment package built for, but not limitied-to, streamlining the process of running quantum information processing experiments. Entropy is built to solve a few major hurdles in experiment design: Building, maintaining and executing complex experiments Data collection Device management Calibration automation To tackle these problems, Entropy is built around the central concept of a graph strucutre. The nodes of a graph give us a convenient way to brake down experiments into stages and to automate some of the tasks required in each node. For example data collection is automated, at least in part, by saving node data and code to a persistant database. Device managment is the challange of managing the state and control of a variety of different resources. These include, but are not limited to, lab instrumnets. They can also be computational resources, software resources or others. Entropy is built with tools to save such resources to a shared database and give nodes access to the resources needed during an experiment. Performing automatic calibration is an important reason why we built Entropy. This could be though of as the usecase most clearly benefiting from shared resources, persistant storage of different pieced of information and the graph structure. If the final node in a graph is the target experiment, then all the nodes between the root and that node are often calibration steps. The documentation section will show how this can be done. The Entropy system is built with concrete implemnetations of the various parts (database backend, resource managment and others) but is meant to be completely customizable. Any or every part of the system can be tailored by end users.
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