When Computation Becomes Time: Superconducting neurons, memristive synapses, and the materials problem nobody wants to talk about
Year: 2026
Type: article
Abstract: This technical analysis examines the convergence of superconducting Josephson junction neurons and thin-film memristive synapses as a new paradigm where computation emerges from the temporal dynamics of physical systems. It introduces the "Temporal Logic Stack" as a framework for connecting device physics, circuit architecture, and industrial capacity. The article argues that strategic advantage in neuromorphic computing depends not only on scientific breakthroughs but on addressing architecture-specific materials dependencies, particularly rare-earth supply chains, and the engineering challenge of integrating picosecond spiking with nanosecond-to-millisecond plasticity.
Author: Damon John
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7221644958
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