Quantum Processor
Quantum processors are computing devices leveraging quantum mechanical phenomena to solve complex problems intractable for classical computers. Current research focuses on improving quantum algorithm design and implementation, including developing efficient circuit synthesis methods, optimizing qubit allocation strategies (e.g., using reinforcement learning), and mitigating noise through error correction techniques and advanced hardware designs. These advancements are driving progress in quantum machine learning applications, such as improved classification and optimization algorithms, and hold significant potential for impacting fields like medicine, materials science, and cryptography.
Papers
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