Depth Quantum Circuit

Depth quantum circuits focus on designing shallow, efficient quantum circuits for various applications, addressing limitations of noisy intermediate-scale quantum (NISQ) devices. Research emphasizes developing robust algorithms for quantum parameter estimation, quantum machine learning (including novel quantum neural network architectures), and quantum simulation, often employing techniques like quantum signal processing and genetic algorithms for circuit optimization. These efforts aim to improve the accuracy and efficiency of quantum computations on near-term hardware, impacting fields such as quantum chemistry, materials science, and machine learning by enabling practical applications with limited quantum resources.