Entropy: a modern toolchain to empower workflows of the current and next-generation Quantum Processing Units

The control of quantum computations, and the classical resources needed for such control, pose many technical challenges. Tools are needed to manage the control flow, assist in data collection and visualization, keep track of the experiment codebase and facilitate documentation of the work. Many of these challenges are generic to experimental lab work whereas others are unique to quantum computation.

Entropy is a lab management suite built to address these problems. Entropy aims to provide a modern toolchain to empower workflows and enable interaction with the current and next generation of Quantum Processing Units (QPUs) in the university lab and data center.

In this workshop, we will demonstrate how Entropy is used to describe a set of devices as one quantum abstract machine. We will then run an experiment distributed across multiple and heterogeneous instruments. We will discuss how the execution model behind Entropy is unique and useful and discuss how these capabilities are crucial to operating a well-calibrated QPU.

Finally, we will show how we can use the integrated data observability tools to monitor the experiment in real-time and collect the resulting datasets into a database for later analysis.