Binding analysis was completed by using Iff Technology's Polar+ tool , which was virtualized using Rigetti's Quantum Virtual Machine (QVM) running on the same laptop. Polar+ finds optimal binding sites through simulated quantum electrodynamics interactions. In order to use this tool, a PDB file for the SARS-CoV-2 spike-ACE2 complex was obtained from the Research Collaboratory for Structural Bioinformatics (RCSB) . Running the PDB file through Polar+ created an electrodynamics map of the protein using a quantum circuit as an analog, which was output as a list of vectors. In order to allow for analysis to be completed in other software suites for biological modeling, Polar+ also outputs the atoms that are related to the best binding sites in the form of a PDB file. A PDB file of the atoms related to these binding sites can be found in this short-term repository on Github: Then, the PDB files for the ligands, in this case hydroxychloroquine and azithromycin, needed to be obtained for further docking analysis, and were obtained on the Canadian Institute of Health's DrugBank . Lastly, in order to identify the binding conformations between the ligands and the SARS-CoV-2 spike-ACE2 complex, Autodock Vina , one of the most prominent pieces of software used for molecular docking calculations, was utilized on the same computer to calculate the binding affinities of each particular binding site through geometric conformation analysis and charge-to-charge interactions. In order to load the PDB files into Autodock, the files were changed to PDBQT format within the Python Molecule Viewer provided by Autodock Tools, which allows users to save PDB files as PDBQT files.