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Analog Superposition Increases Effective PCM Storage Density (IBM Research Europe)

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Analog Superposition Increases Effective PCM Storage Density (IBM Research Europe)

Researchers at IBM Research Europe published “Superposed analog memory for vector storage in neural networks.”

Researchers demonstrated an analog phase-change memory architecture that stores multiple AI vectors in superposition, increasing effective storage density with a tunable accuracy tradeoff. Tests on prototype PCM hardware showed inference accuracy close to full-precision software.

Vasilopoulos, Athanasios, Patrick Diener, Michael Hersche, Abbas Rahimi, and Abu Sebastian. “Superposed analog memory for vector storage in neural networks.” arXiv preprint arXiv:2610.26118 (2026). CC BY-NC-SA 4.0 License



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