Quantum exploration strategies refer to techniques that leverage quantum computing principles to efficiently search and sample from complex solution spaces. These strategies aim to enhance the performance of algorithms in various applications, including optimization and reinforcement learning, by using quantum superposition and entanglement to explore multiple possibilities simultaneously.
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