• Challenges:
Error correction, decoherence, and scalability of quantum hardware.

• Research:
Focuses on novel algorithms, quantum-friendly ML models, and practical applications. Collaboration crucial for advancement.

• Applications:
Accelerates drug discovery, financial modeling, optimization, cryptography, and AI.

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