The QuaST Decision Tree is a configurable modular system that automates recommendations for hybrid quantum algorithms, featuring a module for assessing variational algorithm feasibility through scalability analysis.
SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python,
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The paper introduces and demonstrates a complementary set of five visualizations including tempographs, spline-smoothed histograms, ridgeline plots, stacked bar charts, and combination charts for bar-level tempo data from Beethoven piano and cello sonata recordings spanning 1930-2012.
citing papers explorer
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The QuaST Decision Tree: Achieving Automation With Data-Based Recommendations
The QuaST Decision Tree is a configurable modular system that automates recommendations for hybrid quantum algorithms, featuring a module for assessing variational algorithm feasibility through scalability analysis.
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A Complementary Visualisation Suite for Empirical Performance Analysis: Tempographs, Histograms, Ridgeline Plots, Stacked Bar Charts, and Combination Charts Applied to Beethoven's Piano and Cello Sonatas
The paper introduces and demonstrates a complementary set of five visualizations including tempographs, spline-smoothed histograms, ridgeline plots, stacked bar charts, and combination charts for bar-level tempo data from Beethoven piano and cello sonata recordings spanning 1930-2012.