ChemicalQDevice May 2023 R&D Update PDF 5/15/23.

➤ Original MVP: Brain Tumor Dataset, Binary Classification, Quantum
Transfer Learning for High Validation Accuracy and Low Loss

➤ Iteration #1: Increased Dataset Size, Optimized Hyperparameters for
Improved Validation Loss = 0.069 and Accuracy = 0.990.

➤ Iteration #2: Glioma/Meningioma/Pituitary/Notumor 1572 Multiclass
Images, Hyperparameter Optimizations, Scalable Model by Classes.

➤ Iteration #3: Quantum Circuit and Embedding Methods Screened for
Best Runtimes, Train/Validation Losses and Accuracies.

➤ Iteration #4: Circuit 5 from Iteration #3 Utilized for Improved Quantum
Multiclass Validation Accuracy = 0.875 vs Classical Model.