Entropy: A Lab Manager Software That Lowers the Lab Entropy and Boosts Your Productivity

Running computations on Quantum processors requires calibration of a growing number of qubits while allowing execution of complex control sequences. This joins a host of additional challenges such as collecting, sorting, and gaining insight into the experimental data records. However, human real-time cognitive processing capacity in the lab remains limited. To scale up, we need to provide a good contextual interface between experimental protocol, results, and narrative. 

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.