Abstract: A computer-implemented method is disclosed for mapping a dataset from a Hilbert space of a given dimension to a Hilbert space of a different dimension, the method comprising obtaining a dataset, for each data sample of the dataset, for a plurality of episodes, generating an encoded sample; configuring an adiabatic quantum device by embedding each encoded sample into a q-body Hamiltonian H representative of an adiabatic quantum device, causing the adiabatic quantum device to evolve from an initial state to a final state; and performing a projective measurement along z axis at the final state to determine the value of each qubit; generating a corresponding binary vector representative of the given data sample in a transformed Hilbert space using the determined value of each qubit at each episode and providing a mapped dataset comprising each of the generated corresponding binary vectors.

Abstract: A computer-implemented method is disclosed for mapping a dataset from a Hilbert space of a given dimension to a Hilbert space of a different dimension, the method comprising obtaining a dataset, for each data sample of the dataset, for a plurality of episodes, generating an encoded sample; configuring an adiabatic quantum device by embedding each encoded sample into a q-body Hamiltonian H representative of an adiabatic quantum device, causing the adiabatic quantum device to evolve from an initial state to a final state; and performing a projective measurement along z axis at the final state to determine the value of each qubit; generating a corresponding binary vector representative of the given data sample in a transformed Hilbert space using the determined value of each qubit at each episode and providing a mapped dataset comprising each of the generated corresponding binary vectors.