The mPPU Architecture: Magneto-scopic Photonic Processing Units
Authors/Creators
Description
This document presents the theoretical framework for magneto-scopic Photonic Processing Units (mPPUs), a novel computing architecture that fundamentally reimagines computation by eliminating the von Neumann bottleneck through unified photonic-magnetic substrate integration. The mPPU combines light-based computation with magneto-optic memory in a single substrate, enabling processing speeds at the picosecond scale while dramatically reducing power consumption and thermal output.
Key innovations include: (1) substrate-level integration of computation and storage using photonic logic gates and all-optical switching in ferrimagnetic materials, (2) a novel Optical Gateway Chip (OGC) employing maglev-suspended graphene for photonic-to-electronic translation, (3) optically-induced dynamic superconductivity in twisted graphene via photo-mechanical manipulation, and (4) self-regulating optical feedback stabilization systems operating at picosecond timescales.
The architecture addresses fundamental limitations in current computing by replacing electrical signal propagation with light-speed photonic transmission, co-locating memory with processing logic, and introducing Surface Plasmon Polariton (SPP) hybrid paths that enable seamless electron-photon coupling without traditional transduction bottlenecks.
Technical info
Version 2.0 Release Notes (December 13, 2025)
(Document V1.0.1 | Zenodo v2) introduces technical realization pathways tiered by maturity: build-now, near-term, and exploratory goals, with proof-of-concept demonstrators for systematic validation.
Version 3.0 Release Notes (December 30, 2025)
This release consolidates the Magneto-Acoustic mPPU architecture into a comprehensive assembly proposal, integrating theoretical foundations with simulation validation.
Key additions in v3:
- Thermal Management Architecture: Introduction of Surface Acoustic Wave (SAW) solid-state cooling system, replacing earlier mechanical approaches (CNT cilia) after fatigue analysis revealed 28-second failure threshold
- MBDL Theoretical Framework: Formal integration of Many-Body Dynamical Localization principles (Guo et al., 2025) with Fibonacci quasiperiodic lattice design
- Simulation Results: Thermal comparison data (217× temperature reduction vs. periodic lattice), SAW drive validation (28 W/m, 1 cm/s flow), and logic fidelity eye diagram (83.54° opening)
- Fabrication Roadmap: Gap analysis identifying heterogeneous integration challenges (CTE mismatch, ion beam milling requirements, pressure containment)
- Optical Hive Interface: Cross-sectional schematic for legacy system integration via VCSEL arrays and free-space optics
- 3D Lattice Visualizations: Fibonacci spiral renders (perspective and top-down) with STL file for physical prototyping
Version 4.0 Release Notes (January 21, 2026)
This release introduces the mPPU "Retina" architecture revision, pivoting the interconnect design from fixed waveguide routing to dynamic free-space optical steering via liquid crystal-infiltrated metasurfaces.
Key additions in v4:
- LC-Metasurface Steering Layer: Replacement of thermal phase shifting with voltage-controlled refractive index modulation (Δn) using nematic liquid crystal infiltration between dielectric nano-pillars (a-Si/TiO₂). Achieves ~1,000,000× power efficiency gain (50 nW/channel vs. 15 mW/channel) by exploiting capacitive rather than resistive switching.
- Fibonacci Geometry Constraint: Formal specification of phyllotaxis spiral distribution for metasurface elements to suppress grating lobe interference. Non-Manhattan lithography mask requirement documented; rectangular grid optimization explicitly prohibited as it defeats the noise filtering mechanism.
- Performance Validation Data: Signal stability comparison (thermal drift vs. adaptive metasurface phase jitter), power scaling analysis demonstrating "thermal wall" limits at ~10⁴ channels for legacy approach vs. 10⁶+ channel scalability for LC architecture, and feature comparison matrix covering crosstalk, fabrication complexity, and response time tradeoffs.
- Fabrication Query Framework: Structured technical questions for foundry engagement addressing LC vacuum infiltration process flow, ITO electrode deposition thermal budget constraints, and achievable dielectric pillar aspect ratios.
- Supporting Literature Integration: Cross-referencing with Chen et al. (2025) bionic LiDAR work validating software-defined optical routing on TFLN platforms, reinforcing architectural convergence on reconfigurable electro-optic beam steering principles.
Notes
Files
mppu signal routing stability.png
Files
(3.4 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:22f4fbaf600d446b73b6036308d2db65
|
105.7 kB | Preview Download |
|
md5:ff66187b62900de43dbbeaf88fb4a968
|
25.1 kB | Download |
|
md5:ff1d830a6bd995a21a537fd10c029db5
|
656.7 kB | Download |
|
md5:708c3dc5d23d74db4d285315e23c759c
|
46.1 kB | Download |
|
md5:f8880a9aa91e22e2ad5592e19f050676
|
673.0 kB | Preview Download |
|
md5:7d6d70a4e48a77c18878962b51397709
|
360.7 kB | Download |
|
md5:ef5cedba1adabf1e76af9265dea0b7ec
|
1.4 MB | Preview Download |
|
md5:71df07fd6b1de742e7be1eff00862e35
|
79.9 kB | Download |
|
md5:4c8d68398b725048ae5c015cd39bcd51
|
9.9 kB | Download |
|
md5:f27104a41ec06b404f0c1c000c6d523e
|
58.3 kB | Preview Download |
Additional details
Dates
- Submitted
-
2025-12-10Date of Original Submission
- Updated
-
2025-12-13Date of Technical Realization Submission
- Updated
-
2025-12-30Date of Assembly Proposal and Imaging Submission