Incremental Data-Uploading for Full-Quantum Classification. (arXiv:2205.03057v1 [quant-ph])

Web: http://arxiv.org/abs/2205.03057

The data representation in a machine-learning model strongly influences its
performance. This becomes even more important for quantum machine learning
models implemented on noisy intermediate scale quantum (NISQ) devices. Encoding
high dimensional data into a quantum circuit for a NISQ device without any loss
of information is not trivial and brings a lot of challenges. While simple
encoding schemes (like single qubit rotational gates to encode high dimensional
data) often lead to information loss within the circuit, complex encoding
schemes …

arxiv classification data incremental quantum