PhaseAttention™ (Continuous Phase Space)

Live

Continuous phase-space attention substrate engineered to bypass quadratic attention and memory-bus walls across 100,000+ continuous tokens. Delivers 99.6% DRAM memory bypass at 100% causal fidelity, sub-Ångström structural precision in macromolecular complexes, and verified zero OOM scaling across N=5,000 assets.

Problem

Dense quadratic attention matrices and Pairformer architectures create crippling memory-bandwidth walls during long-context autoregressive reasoning and large-scale graph inference, dragging gigabytes across off-chip memory buses and starving compute cores.

Business & Systems Impact

  • 99.6% off-chip DRAM memory bypass at 100% causal fidelity across 100,000+ continuous tokens
  • Sub-Ångström structural precision on macromolecular benchmark complexes (0.27 Å on 1UBQ, 0.87 Å on 1TEN)
  • Verified zero OOM scaling across N=5,000 asset cross-attention benchmarks
  • Unified with PhaseSAE under Conner Kupferberg’s foundational Phase Substrate architecture
  • Live demonstration surface and encrypted briefing protocol active at phaseattention.pages.dev

Key Metrics

99.6% DRAM Bypass

0.27 Å Precision

Zero OOM at N=5k

Stealth Research

Solution Architecture

Formulated continuous phase-space routing to bypass dense quadratic evaluation while preserving causal fidelity and invariant geometric structure. Benchmarked across empirical biophysics and high-throughput cross-asset sequence reasoning.

Tech Stack

PyTorchContinuous Phase SpaceLie GroupsCUDAPython

Links