Quantum Computing and Visualization Research Challenges and Opportunities
E. Wes Bethel, Roel Van Beeumen, Talita Perciano

TL;DR
This paper explores the challenges and opportunities in visualizing quantum computing processes and data, aiming to facilitate practical applications and understanding of this emerging technology.
Contribution
It provides a comprehensive analysis of visualization research challenges and opportunities specific to quantum computing, bridging the gap between quantum technology and visualization techniques.
Findings
Identifies key visualization challenges in quantum computing
Highlights opportunities for visualization to enhance quantum algorithm understanding
Suggests future research directions in quantum visualization
Abstract
Quantum computing (QC) has experienced rapid growth in recent years with the advent of robust programming environments, readily accessible software simulators and cloud-based QC hardware platforms, and growing interest in learning how to design useful methods that leverage this emerging technology for practical applications. From the perspective of the field of visualization, this article examines research challenges and opportunities along the path from initial feasibility to practical use of QC platforms applied to meaningful problems.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Data Visualization and Analytics · Scientific Computing and Data Management
