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arXiv 2602.07683cond-mat.stat-mechcs.ETnlin.AO
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动量驱动的可逆逻辑加速高效不可逆通用计算

Momentum-Driven Reversible Logic Accelerates Efficient Irreversible Universal Computation

University of California-Davis(加州大学戴维斯分校)

Kuen Wai Tang, Kyle J. Ray, James P. Crutchfield

AI总结:

动量驱动的可逆逻辑通过高效不可逆通用计算实现高性能计算

摘要:

我们展示了使用由耦合量子磁通参数子组成的2位逻辑单元实现的两种物理嵌入的计算通用逻辑运算。为了说明通用性,我们研究了由这两种不同的基本运算构建的NAND门。一方面,受控擦除(CE)通过固定点分析设计,假设信息必须存储在局部亚稳分布中。另一方面,擦除翻转(EF)利用动量作为计算资源,并显著优于亚稳方法,同时在不产生额外能量成本的情况下实现了更高的保真度和更快的计算速度。值得注意的是,动量自由度使EF能够通过在不同的逻辑子空间中同时使用非平凡的可逆和不可逆逻辑来实现通用性。这些结果不仅提供了一种实用的高性能协议,有望用于实验实现,还突显了基于动量的计算范式更广泛的可能性。

英文摘要:

We present implementations of two physically-embedded computation-universal logical operations using a 2-bit logical unit composed of coupled quantum flux parametrons -- Josephson-junction superconducting circuits. To illustrate universality, we investigate NAND gates built from these two distinct elementary operations. On the one hand, Controlled Erasure (CE) is designed using fixed-point analysis and assumes that information must be stored in locally-metastable distributions. On the other, Erasure-Flip (EF) leverages momentum as a computational resource and significantly outperforms the metastable approach, simultaneously achieving higher fidelity and faster computational speed without incurring any additional energetic cost. Notably, the momentum degree of freedom allows the EF to achieve universality by using both nontrivial reversible and irreversible logic simultaneously in different logical subspaces. These results not only provide a practical, high-performance protocol ripe for experimental realization but also underscore the broader potential of momentum-based computing paradigms.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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