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PhaseGate3d4

Quantum device architectures & field-modulated traps
Research prototype · Non-clinical · Under active investigation
Project overview · Quantum substrate R&D

Spectral-Domain Trap & Gate Platform

PhaseGate3d4 is an experimental hardware platform for quantum-structured substrates, harmonic trap layers, and field-modulated ion and signal control. The work focuses on engineered Casimir cavities, NV/CNT arrays, and χ-space drive fields that steer particles and excitations through programmable “phase gates” in 3D.

Technical focus

Current prototypes explore stacked trap layers and quantum-active surfaces designed to couple to external χ-field drivers and PsiPi-class reconstruction engines.

  • Quantum-structured substrates with Casimir-conditioned cavities.
  • Harmonic and Bessel-mode trap geometries for phase-selective capture.
  • NV / CNT / W@C60 arrays for eigenmode routing and sensing.
  • Vault-trap and “scramjet” intake concepts for guided ion flow.
  • Integration hooks for χ-space controllers (Eigen_Drive, Ghost Function Library).
Vault trap layer Quantum scramjet intake Casimir funnels Topological χ-pads
Status & collaboration

PhaseGate3d4 is operated as a private R&D program under PsiPi.Ai, LLC. Current work is pre-prototype: device concepts are evaluated through numerical simulation, benchtop experiments, and materials feasibility studies.

  • Focus on benchtop-scale substrates and trap tiles.
  • No devices cleared or approved for human use.
  • Open to non-clinical collaborations around modeling, fabrication pathways, and diagnostic signal integration.
Quantum sensing Ion / spin control Electromagnetic traps NV / diamond
Contact (research / collaboration only):
PsiPi.Ai, LLC · Attn: Chad Wayne Smiddy
pi@psipi.ai

Device concepts

Includes the PhaseGate3d4 vault-trap layer, quantum scramjet intake, χ-pad fan arrays, and related harmonic gate structures. These elements are designed to interface with χ-field drivers and external imaging / sensing stacks.

Software stack

Hardware is developed in tandem with PsiPi-class toolchains: χ-space reconstruction, Eigen_Drive control kernels, and ghost- function diagnostics for tuning trap response in k-space and configuration space.

Companion site: psipi.ai

IP & publications

Provisional patent filings and technical notes are in preparation. Formal claims will describe quantum-engineered trap geometries, field-modulated gate operations, and χ-driven eigenstate control over ions and excitations within layered substrates.