Schmidt Decomposition-Based Methods for Efficient Quantum Image Encoding
Researchers have developed a new method using Schmidt decomposition to improve the efficiency of quantum image encoding for NISQ devices. This technique approximates quantum states by retaining only the most significant entanglement structures, thereby reducing circuit complexity. The study compared three encoding methods (FRQI, QPIE, NEQR) with and without low-rank approximation, finding that FRQI achieved a 97% reduction in circuit depth while maintaining high reconstruction accuracy. AI
IMPACT This research could enable more complex image processing tasks on near-term quantum computers.