QVF is a quantum implicit neural representation that uses a learnable, Boltzmann-style amplitude encoding and a real-valued entangled circuit, and it outperforms prior quantum INRs while competing with classical baselines on simulator experiments.
Parameterized quantum circuits as machine learn- ing models
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Quantum Visual Fields with Neural Amplitude Encoding
QVF is a quantum implicit neural representation that uses a learnable, Boltzmann-style amplitude encoding and a real-valued entangled circuit, and it outperforms prior quantum INRs while competing with classical baselines on simulator experiments.