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Quantum Machine Learning
Quantum Computing and Visualization Research Challenges and Opportunities
arXiv
Authors: E. Wes Bethel, Roel Van Beeumen, Talita Perciano
Year
2026
Paper ID
3994
Status
Preprint
Abstract Read
~2 min
Abstract Words
75
Citations
N/A
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.
Why This Paper Matters
- This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
- It adds a 2026 reference point for readers tracking recent quantum research.
- Quantum computing (QC) has experienced rapid growth in recent years with the advent of robust programming environments, readily accessible software simulators and cloud-based...
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