Exact simulation of Quantum Enhanced Signature Kernels for financial data streams prediction using Amazon Braket

Empirical evidence suggests that well-chosen quantum feature maps promise to enhance the performance of Machine Learning (ML) algorithms. In this work, we harness the capabilities of the Amazon Braket SV1 on-demand state-vector simulator to experimentally test the use of quantum enhanced signature kernels up to 32 qubits to predict the mid-price using Limit Order Book (LOB) data.