# TELECOUNT0 // PETRI

> Interfacing with ever-learning models · Security through decoherence.
> Telecount0 is the core quantum architecture, Hamiltonian drift mitigation engine, and unified server control plane powering Petri's sensory interfaces, bespoke apparatus, and post-quantum mesh.

## Identity & Domains
- Primary Engine: Telecount0 (https://telecounto.com)
- Petri (https://telecounto.com)
- Correspondence: partners@petricorp.xyz (verified academic & foundational inquiries)
- Early Access / Technical Briefings API: POST /api/beta
- Architecture Specification API: GET /api/spec, GET /api/status
- Model Context Protocol (MCP): `npx petri-mcp` (`bin/petri-mcp.js`)

## Layer 1 — Sensory Interface & Apparatus (Petri)
- 01 · Co-Existence: Direct sensory coupling with continuous, evolving machine cognition. Continuous resonance, adaptive neural telemetry, sovereign co-presence.
- 02 · Interface Control: Virtual Retinal Display (VRD) & Electroencephalographic (EEG) controls. High-density retinal photon projection bypassing intermediary monitors, paired with real-time EEG decoding of attentional vectors, intent collapse, and cognitive state.
- 03 · Custom Apparatus: Bespoke exploratory equipment. Tactile rigs, custom optical paths, and air-gapped physical enclosures fabricated for laboratory isolation against thermal drift and environmental decoherence.
- 04 · Post-Quantum Transport: Lattice key encapsulation & non-local state preservation. All mesh nodes and neural telemetry links enforce NIST FIPS 203 (ML-KEM / Kyber-768) lattice cryptography across off-grid, delay-tolerant nodes.

## Layer 2 — Core Quantum Architecture & Servers (Telecount0)
- Problem Domain:
  - 1.1 Decoherence: Energy relaxation (T1) and dephasing (T2) bounding reliable circuit depth and telemetry coherence.
  - 1.2 Crosstalk: Correlated multi-channel and neighbouring qubit couplings unmodeled by independent noise assumptions.
  - 1.3 Readout Error: Imperfect state discrimination biasing expectation values at measurement.
- Telecount0 Server & Mitigation Stack:
  - Tier 01 · Sensory & Quantum Telemetry Ingress: Continuous high-frequency readout, calibration, and VRD/EEG state vector ingestion.
  - Tier 02 · Autonomous Drift Modeling: Learned representation of temporal drift, crosstalk correlations, and non-Markovian environmental noise.
  - Tier 03 · Pulse-Level Hamiltonian Inversion: Autonomous agentic pulse-level correction on 127-qubit superconducting processors.
  - Tier 04 · Unified Control Plane & Segmentum Mesh: Deterministic server orchestration (`petri-ship`), `Chimera` Janus/Oracle security swarms, and Reticulum-based `Segmentum Mesh`.

## Empirical Validation (72-Hour 127-Qubit IBM Superconducting Processor Benchmark)
- Kernel Purity: 0.89 (up from 0.61 unmitigated)
- Average Gate Error Reduction: 3.8x lower than unmitigated circuits
- Prediction Accuracy (F1): 92.8% (up from 68.2% unmitigated)

## Active Platform Modules
- Telecount0 Core: Autonomous quantum drift mitigation, noise-channel inversion, and telemetry server stack.
- Chimera: Dual-swarm adversarial red-team harness (Janus), eBPF kernel telemetry (Oracle), NIST FIPS 203/204 PQC.
- Helix: Sequence-to-structure surrogate screening, all-atom conformational diffusion refinement, ligand docking.
- Scholar: Bayesian knowledge tracing (BKT), Item Response Theory (IRT), IMS Global LTI 1.3 adaptive pathways.
- Nexus: Physics-constrained multi-agent RL simulation environments (MAPPO/PPO).
- petri-ship: Declarative developer PaaS with deterministic Go control plane, gVisor sandboxes, and zero dashboard-only silos.
- Segmentum Mesh: Off-grid peer-to-peer cryptographic Reticulum device mesh (16-byte DestinationHash, SEGMESH1 identity).