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PhasorFlow library enables unit circle computing for AI tasks

Researchers have introduced PhasorFlow, an open-source Python library designed for computations on the unit circle. This library formalizes the Phasor Circuit model, which uses unitary wave-interference gates to preserve global norm while allowing components to drift. PhasorFlow also includes the Variational Phasor Circuit for optimizing continuous phase parameters and the Phasor Transformer, which replaces traditional attention mechanisms with a parameter-free DFT token-mixing layer. The library has been validated on various tasks, including time-series prediction and financial volatility, and demonstrated competitive performance on real-world EEG data with fewer parameters than standard baselines. AI

IMPACT Introduces a novel, parameter-efficient computing paradigm for classical hardware that could influence future AI model architectures.

RANK_REASON The cluster describes a new open-source library and associated computational models presented in an academic paper. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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PhasorFlow library enables unit circle computing for AI tasks

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The cluster describes a new open-source library and associated computational models presented in an academic paper. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Dibakar Sigdel, Namuna Panday ·

    PhasorFlow: A Python Library for Unit Circle Based Computing

    arXiv:2603.15886v3 Announce Type: replace-cross Abstract: We present PhasorFlow, an open-source Python library for computing on the $S^1$ unit circle. Inputs are encoded as complex phasors $z=e^{i\phi}$ on the $N$-torus ($\mathbb{T}^N$); as computation proceeds through unitary wa…