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AI Anomaly Detection (M50020)

Metric IDM50020
CategoryAI
Accesspublic
Classificationproprietary
ComputationAI + Classical + Quantum (simulated)
Computed byBlack Belt Labs
Freshnessfresh
Last refreshed

Calculation methods

MethodLast refreshed
Classical
AI
Quantum (simulated)

This is a proprietary Madjik metric. Its methodology is a trade secret; the values are available through the API.

Quantum configuration

Every quantum calculation of this metric, with the machine and circuit setup it runs on. Hardware values come from real IBM quantum computers; simulator values from a classical simulation of the same kind of circuit.

MethodQuantum computing simulated (quant-sim)
ProviderQiskit Aer simulator (IBM open-source software) on Google Cloud
Machineaer_simulator
Machine typeclassical simulator (CPU, noise-free)
Qubits used5
Circuits per run10
Shots per run20,480
Circuit depth1227
Two-qubit gates747
Gate basisu, cx (Aer, flattened)
Algorithmamplitude estimation (MLAE) of the |z|>2 exceedance mass across live metrics
Profilefull
Error mitigationnone (noise-free simulation)
How measuredrecorded circuits, compiled to u/cx

Personal metrics: figures are the maximum across submitted portfolios (circuit size follows portfolio size). Machine qubits is the size of the whole chip; qubits used is what this calculation needs.

Method comparison (experimental)

The same metric computed several ways on the same frozen inputs, one change at a time, so a gap between two rows has a known cause. Each plus/minus is the standard error of that value. How to read this, and how it scales.

Daily simulator-only comparison

Snapshot 20261016T0003_444fcc8e · 2026-10-16 00:03 UTC

StepMethodValue
Classical, exactclassical16.7
Production value (-5.8 h from the snapshot)AI75
Production value (-0.7 h from the snapshot)classical18.5
Quantum simulator, idealquantum simulated16.7
Quantum simulator, sampledquantum simulated16.7 ± 0.07355

Scored against what actually happened

Alert score 0-100. Outcome: 1 if BTC's next-24h move exceeds twice its trailing 30-day daily volatility. AUC: 0.5 means no skill, 1.0 is perfect.

MethodResult
AIAUC 0.44 over 259 forecasts (14 large moves)
classicalAUC 0.51 over 166 forecasts (6 large moves)
quantum simulatedAUC n/a over 63 forecasts (0 large moves)

Quantum values are not expected to beat the classical value at these problem sizes. The purpose of this section is to show, with uncertainty, how and why the methods differ. Small samples: treat scores as indicative.

Hypotheses monitored by this metric

Access this metric

Query it via the Madjik API:

curl -H "X-API-Key: $MADJIK_API_KEY" \
  https://api.madjik.io/v1/metrics/M50020

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