Learning parameterized quantum circuits with quantum gradient
• Abstract Parameterized quantum circuits (PQCs) are crucial for quantum machine learning and circuit synthesis, enabling the practical implementation of complex quantum tasks • Ho
Parameterized
Statistics-informed parameterized quantum circuit: towards practical quantum state preparation and learning via maximum entropy principle
• Abstract Quantum computing offers significant potential for tackling complex problems, yet preparing quantum states from real-world data remains a critical challenge. • We introd