Bond resilient connectivity across satellite, cellular, and fiber

Taurnet 1.0 serves multipath bonding, Bell-state path optimization, and BB84 session protection — MPTCP transport with hybrid QKD/PQC security from Zi R&D Center.

Top research capabilities

Zi Humana advances resilient connectivity through multipath bonding, quantum-safe key management, and laboratory traffic intelligence under published MPTCP and PQC standards.

Taurnet 1.0™

Live bonding console — Starlink, 5G, and Fiber paths with compose-stack telemetry.

1.0

Bonding engine

UDP round-robin data plane across three laboratory interfaces at 250 Mbps / 15 ms.

250M

Bell-state picker

1024-shot path optimization — decision rule from |00⟩ versus |11⟩ counts.

1024

BB84 sifting

Decoy-state BB84 session protection with hybrid ML-KEM / ML-DSA fallback.

BB84

/api/taurnet/*

Same-origin proxy to bonding, quantum optimize, and QKD generate endpoints.

REST

Multipath Bonding

Research program — four-plane architecture, scheduler weights, and application mapping.

MPB

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API Taurnet 1.0 · /api/taurnet/*

Same-origin proxy at /api/taurnet forwards JSON payloads to the multipath bonding backend. Endpoints: /api/bonding/status, /api/bonding/start?user_id=, /api/bonding/sessions, POST /api/quantum/optimize, and POST /api/qkd/generate. Demo is open — no API key required; optional x-api-key is forwarded when present. Static laboratory snapshots load when the backend is offline.

Taurnet 1.0 · research dashboard

Quantum Multipath Bonding lab console

Compiled from the bonding engine, Bell-state path picker, and BB84 sifting service — same figures and tables used in the manuscript.

LINK
THROUGHPUT
LATENCY
ENGINE

Bonded session

Round-robin UDP across satellite, cellular, and fiber.

Path recommendation

Bell-state path optimization · 1024 shots

Session protection

Decoy-state BB84 sifting · hybrid QKD/PQC fallback

Figure source A — lab telemetry

Lab telemetry tiles and bonded interfaces

Figure source B — four-plane architecture

Intelligence, security, control, and data planes

Figure source C — bonded paths

Session to scheduler to three paths

Figure source D — Bell-state counts

Bell state histogram 00 versus 11

Figure source E — BB84 sifting

Alice and Bob basis agreement

Table source — path inventory from the bonding service

PathKindBindTarget
Starlinksatellite127.0.0.1:9001127.0.0.1:10001
5Gcellular127.0.0.1:9002127.0.0.1:10002
Fiberterrestrial127.0.0.1:9003127.0.0.1:10003

Listing source — Bell-state decision (control excerpt)

qc = QuantumCircuit(2, 2)
qc.h(0)
qc.cx(0, 1)
qc.measure([0, 1], [0, 1])
# if C(00) > C(11): first path else last path
selected = paths[0] if counts.get("00", 0) > counts.get("11", 0) else paths[-1]

Session log

  • No API calls yet — refresh status or run an action above.

Sources: docs/static/media/*.json, bonding engine, quantum optimize, QKD generate. Laboratory snapshot used by manuscript figures.

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