Noisy Quantum

Noisy quantum computing focuses on developing and improving quantum algorithms and hardware that can function effectively despite the inherent noise present in current quantum devices. Research emphasizes mitigating noise effects through techniques like quantum compiling with reinforcement learning, developing noise-adaptive circuit architectures (e.g., sparse exploration methods), and employing error mitigation strategies such as variational denoising. These advancements are crucial for realizing the potential of near-term quantum computers in various fields, including quantum machine learning, quantum chemistry, and optimization problems, by enabling reliable and accurate computations on noisy hardware.