How can quantum computing improve optimization problems?
Quantum computing can solve complex optimization problems faster than classical computers by leveraging quantum bits.
What types of optimization problems are best suited for quantum computing?
Problems like the traveling salesman, portfolio optimization, and resource allocation are particularly well-suited.
Are there any real-world applications of this technology?
Yes, companies are using quantum computing for supply chain optimization, financial modeling, and drug discovery.
What are the current limitations of quantum computing in this field?
Current limitations include qubit coherence times, error rates, and the need for specialized algorithms.
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