Quantum computing has the potential to revolutionize various fields, including energy efficiency, but it's essential to understand its limitations. The Quantum Control Problem is a significant challenge in maintaining control over quantum states as systems scale up in size and complexity. Robust control techniques like dynamical decoupling and noise spectroscopy can help suppress decoherence, while error correction codes detect and correct errors during computation or simulation. Machine learning and artificial intelligence have also been applied to optimize quantum error correction codes and learn models of quantum systems. Despite advances, significant challenges remain in scaling up quantum systems while maintaining control over their evolution.
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