Abstract from BrainTalk’s website:
This work proposes a quantum natural language processing-inspired approach for classifying SQL queries based on their execution times and cardinalities. Using parameterized quantum circuits and an iterative method for their optimization, we estimate query metrics by executing optimized circuits on a quantum computer or simulating them. Our results achieve comparable accuracy to previous research in quantum natural language processing, suggesting the potential of this approach in applications beyond quantum natural language processing. We also analyze the model’s expressibility and entangling capability histograms for further insights.