This work proposes a novel cognitive model, called Aggregate-Superpose-Project (ASP), to facilitate problem solving and the analysis of algorithms in Quantum Computing (QC). Our model contains three simple abstractions that help students use classic computing concepts towards specifying quantum states and transformations. Simplicity is a major advantage of ASP along with reinforcing the use of classical concepts in learning QC abstractions. Preliminary evaluations indicate that ASP can provide students with the means to describe quantum algorithms at appropriate levels of abstraction
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