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Learn to implement quantum algorithms from problem formulation to hardware execution in this comprehensive lecture that covers the complete workflow of quantum computing applications. Explore the essential steps of quantum algorithm development, including problem mapping techniques, workload optimization strategies, and practical hardware implementation considerations. Discover modern error mitigation and suppression methods crucial for extracting accurate results from today's noisy intermediate-scale quantum (NISQ) devices. Examine practical implementations of noise-aware computation techniques and emerging methodologies that bridge the gap toward fault-tolerant quantum computing. Gain insights into efficient and scalable quantum computing frameworks that maximize compatibility with existing software and hardware ecosystems while simplifying code reuse and development processes.
