Bits to Qubits: A Comparative Study of Memory Management in Classical and Quantum Systems

Abstract

In the near future, as quantum and classical systems coexist, managing hybrid systems will require efficient conversion between bits and qubits. Therefore, understanding memory management for both classical and quantum systems is essential. Along that line, this survey provides a comparative analysis of memory management in classical and quantum architectures. The traditional memory hierarchy and allocation strategies used in classical systems are examined along with caching and paging techniques which optimize performance and resource utilization. On the other hand, quantum memory management focuses on addressing unique challenges such as quantum decoherence and error correction using advanced techniques such as Shor’s code, Surface codes, and other specialized error correction codes. This study explores Quantum Random Access Memory (QRAM) and its role in enabling efficient data retrieval in quantum systems. Quantum read/write operations and their impact on coherence and fidelity are analyzed, highlighting advancements in qubit state measurement and error mitigation. While classical systems take benefits of deterministic and hierarchical memory structures, quantum systems must overcome environmental noise and decoherence to maintain data stability. Furthermore, scalability issues and emerging trends in quantum architecture are discussed, emphasizing how advancements in Quantum Error Correction (QEC) and hybrid systems can address current limitations in memory management.