Speaker
Description
Hybrid Quantum-Classical Networks (HQCNs) have
emerged as a promising paradigm for harnessing the power of
both classical and quantum computing. This paper explores the
characteristics and optimizations associated with these networks.
Firstly, the characteristics of HQCNs are discussed, including the
integration of classical and quantum components, task allocation,
parallel processing, and the exploitation of quantum speedup.
The paper then delves into optimization techniques in hybrid
networks, such as dynamic task allocation, workload distribution,
and resource management. Optimizations for error correction
and noise mitigation in HQCNs involve fault-tolerant protocols
that enhance the resilience of quantum computations to errors
and noise. The paper concludes by emphasizing the importance of
understanding the characteristics and optimizations in HQCNs to
fully leverage their potential for solving complex computational
problems efficiently and effectively.
