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+[ChemicalQDevice May 2023 R&D Update](https://www.chemicalqdevice.com/chemicalqdevice-may-2023-rd-update) PDF 5/15/23.
+
+➤ Original MVP: Brain Tumor Dataset, Binary Classification, Quantum
+Transfer Learning for High Validation Accuracy and Low Loss <br>
+➤ Iteration #1: Increased Dataset Size, Optimized Hyperparameters for
+Improved Validation Loss = 0.069 and Accuracy = 0.990. <br>
+➤ Iteration #2: Glioma/Meningioma/Pituitary/Notumor 1572 Multiclass
+Images, Hyperparameter Optimizations, Scalable Model by Classes. <br>
+➤ Iteration #3: Quantum Circuit and Embedding Methods Screened for
+Best Runtimes, Train/Validation Losses and Accuracies. <br>
+➤ Iteration #4: Circuit 5 from Iteration #3 Utilized for Improved Quantum
+Multiclass Validation Accuracy = 0.875 vs Classical Model. <br>