  As quantum computers progress towards a larger scale, it is imperative that
the "top" of the computing-technology stack is improved. This project
investigates the quantum resources required to compute primitive arithmetic
algorithms, particularly multiplication. By using various quantum resource
estimators, like Microsoft's Azure Quantum Resource Estimator, one can
determine the resources required for numerous quantum algorithms [5]. In this
paper, we will provide a comprehensive resource analysis of numerous quantum
multiplication algorithms such as Karatsuba, schoolbook, and windowed
arithmetic for different qubit platforms (trapped ion, superconducting, and
Majorana) using the new Azure Quantum Resource Estimator.
