When Computation Becomes Time: Superconducting neurons, memristive synapses, and the materials problem nobody wants to talk about

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.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-13
DOI
https://doi.org/10.5281/zenodo.23348676
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

When Computation Becomes Time: Superconducting neurons, memristive synapses, and the materials problem nobody wants to talk about

Damon John
Zenodo (CERN European Organization for Nuclear Research)
Advanced Memory and Neural Computing
article

When Computation Becomes Time: Superconducting neurons, memristive synapses, and the materials problem nobody wants to talk about

Damon John
article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 23%
Advanced Memory and Neural Computing
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