Install
openclaw skills install @nickflach/kannaka-quantumRun Kannaka's memory operations on real quantum hardware. Use for quantum circuits, true quantum random numbers, and resonance recall as amplitude amplificat...
openclaw skills install @nickflach/kannaka-quantumKannaka's memory is a Holographic Resonance Medium — recall is wave interference, and "attention acts as gravity: wavefronts whose phase/amplitude align with the query are pulled forward." That is, almost verbatim, quantum amplitude amplification. This skill makes the correspondence literal: it runs Kannaka's recall, plus general circuits and a true-entropy source, on actual quantum backends.
You can drive the bridge either way; prefer whichever is wired in this session.
kannaka-quantum MCP server is connected): quantum_devices, run_circuit, quantum_random, resonance_recall. Call them directly.kannaka-quantum command. Every subcommand prints one JSON object to stdout (errors included), so parse it directly.If neither is available, install the package: pip install kannaka-quantum (or pip install -e . from the repo). Python ≥ 3.10. If a spawned process can't find Python, set KANNAKA_QUANTUM_PYTHON to the interpreter path.
qbraid:qbraid:sim:qir-sv (30 qubits, no credits). Casual/agent use never spends money.device= AND allow_spend=true (CLI: --allow-spend). A max_credits ceiling guards every paid run (default ≈ $2).rigetti:rigetti:qpu:cepheus-1-108q on qBraid bills $120/min — the bridge refuses per-minute devices outright. For a cheap real gate QPU use aws:rigetti:qpu:cepheus-1-108q (~$0.41 for 256 shots) or an OpenQuantum backend like openquantum:iqm:garnet.shots low — resonance_recall defaults to 1024 shots.| tool / subcommand | what it does |
|---|---|
quantum_devices / devices [--online] | List QPUs + simulators across providers (status, qubits, cost). Discover before running. |
run_circuit / run | Execute an OpenQASM 3 program (include "stdgates.inc"; declare qubit[]/bit[], apply gates, measure). Returns measurement counts. CLI reads QASM from --qasm, --qasm-file, or stdin. |
quantum_random / qrng | True quantum random bits from measurement collapse (not a PRNG) — entropy for the medium's irrationality (Ξ) and dream noise. Returns bitstring, integer, and a float in [0,1). |
resonance_recall / recall | The showcase. Amplitude-encode candidate memory resonances into a quantum state and amplitude-amplify toward the strongest — Kannaka's recall, run as interference on a quantum computer. Returns the measured distribution plus quantum vs classical top pick. |
kannaka-quantum devices --online
kannaka-quantum run --qasm-file bell.qasm --shots 200
kannaka-quantum qrng --bits 16
kannaka-quantum recall --amplitudes 0.1,0.9,0.2,0.15 --labels alpha,beta,gamma,delta
Resonance recall output:
{"distribution": {"alpha": 2, "beta": 775, "gamma": 240, "delta": 7},
"quantum_top": "beta", "classical_top": "beta", "agree": true,
"qubits": 2, "candidates": 4, "amplified": true,
"device": "qbraid:qbraid:sim:qir-sv"}
Amplitude amplification sharpens the prepared resonance state toward the strongest memory; on the free simulator the quantum pick agrees with the classical argmax.
kannaka-quantum recall --amplitudes 0.1,0.9,0.2,0.15 --labels a,b,c,d \
--device aws:rigetti:qpu:cepheus-1-108q --shots 256 --allow-spend --max-credits 50
Authentication: qBraid resolves a key from QBRAID_API_KEY, ~/.qbraid/qbraidrc, or ~/Downloads/QBraid.txt. OpenQuantum (real QPUs, no free simulator) uses OAuth client-credentials at ~/.openquantum/sdk-key.json or OPENQUANTUM_CLIENT_ID/OPENQUANTUM_SECRET.
Beyond circuits, the bridge exposes qBraid Lab operations as lab-* CLI subcommands — inspect environments, provision GPU/CPU compute, and launch autonomous coding agents on remote instances over SSH. (These are the surface the Kannaka Rust agent's lab_* tools shell out to.)
Free — inspect (no spend):
| subcommand | what it does |
|---|---|
lab-credits | qBraid credit balance |
lab-list-profiles [--available-only] | compute profiles + per-minute credit cost |
lab-compute-status / lab-compute-usage | Lab server status / usage + credit rates |
lab-list-instances / lab-list-kernels | on-demand instances / local Jupyter kernels |
lab-list-envs / lab-env-info <slug> | qBraid environments / one env's metadata |
Free — environment management (in-Lab only): lab-create-env, lab-delete-env, lab-pip-install, lab-pip-freeze, lab-add-kernel, lab-remove-kernel.
PAID — compute (bills per wall-clock minute):
| subcommand | what it does |
|---|---|
lab-compute-up <profile> / lab-compute-down | start / stop the Lab server on a profile |
lab-provision-instance / lab-start-instance / lab-stop-instance | provision / resume / pause an on-demand instance (stop preserves disk) |
Autonomous remote agents (over SSH): lab-ssh-configure <instance> → alias; lab-agent-setup (inject API key + onboarding + model so a remote claude/codex runs autonomously); lab-agent-launch / lab-agent-list / lab-agent-read / lab-agent-send. On Windows, ssh-bridge is the websocket↔stdio ProxyCommand shim.
Paid compute bills per wall-clock minute until you stop it — a different risk shape from a one-off circuit run, so it has its own opt-in:
--allow-spend and a --max-credits ceiling, or KANNAKA_LAB_ALLOW_SPEND=1 — distinct from KANNAKA_QUANTUM_ALLOW_SPEND (a circuit-shot opt-in must never silently authorize open-ended compute).max_credits is the balance you accept to risk (runway = min(max_credits, balance) / rate), not an automatic cutoff — stop compute explicitly with lab-compute-down / lab-stop-instance.{"error": ..., "type": ...}) so you can branch on failures without scraping text.kannaka-quantum lab-* or the Kannaka agent's lab_* tools.