Quantum State Fidelity

Quantum state fidelity quantifies the similarity between an ideal quantum state and a realized one, crucial for assessing the accuracy of quantum computations and measurements. Current research focuses on improving fidelity through hybrid classical-quantum algorithms, such as those employing tensor networks for data compression and quantum-aware transformers for state tomography, and by leveraging machine learning techniques for enhanced readout discrimination in superconducting qubits. These advancements are vital for overcoming limitations in near-term quantum devices and improving the reliability and scalability of quantum technologies across various applications.