SBQE offers a practical data-loading method for near-term quantum machine learning that avoids deep circuits, works within hardware constraints, and achieves competitive accuracy by treating shot allocation as a learnable parameter.
This paper introduces Shot-Based Quantum Encoding (SBQE), a new way to load data into quantum computers that works better with current noisy quantum hardware.