A Design Space for Quantum Circuit Visualizations
2026-07-27 • Human-Computer Interaction
Human-Computer Interaction
AI summaryⓘ
The authors study how quantum circuits are shown visually because these pictures help people understand and share quantum programs. They found many different ways these circuits are drawn, but no one clear system that works everywhere. So, they looked at lots of examples and made a design guide that shows all the ways quantum circuits can be drawn. They also talk about how their guide fits with other visualization ideas and point out future improvements for making these visuals easier to use and understand.
quantum circuitvisualizationquantum computingdata visualizationdesign spaceinteractive visualizationcognitionintegrabilityrenderingmachine learning platforms
Authors
Hyeok Kim, Leilani Battle
Abstract
Quantum circuit visualizations play an essential role in supporting sense-making and communication of quantum programs. While several tools exist for rendering quantum circuits, they vary widely in encoding options due to idiosyncrasies among machine and platform providers. We observe an opportunity to coalesce these disparate rendering approaches under a single, unified grammar to enable consistent, cross-platform enhancement of quantum circuit visualizations. However, it is unclear how to design such a grammar to best support the quantum computing community. Towards this end, we contribute a design space of quantum circuit visualizations by analyzing 182 static and 12 interactive cases collected from online tutorials and documentations, research publications, public presentations, and prior systems. Based on our analysis, we discuss how our design space relates to existing visualization principles yet exhibits unique aspects. We conclude with opportunities for future systems regarding data structure, cognition, and integrability.