🔮Madjik

Adverse-Regime Sensitivity (M10067)

Metric IDM10067
Categorypersonal
Accesspersonal — computed per customer from the portfolio they submit; see Personal metrics
Classificationproprietary
Tierenterprise
ComputationClassical + Quantum (simulated)
Computed byBlack Belt Labs
Freshnessfresh

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 used13
Circuits per run2
Shots per run8,192
Circuit depth169
Two-qubit gates162
Gate basisu, cx (Aer, flattened)
Algorithmpersonal_core twin (see methodology)
Profilefull
Error mitigationnone (noise-free simulation)
How measuredrecorded circuits, compiled to u/cx
Notemaximum over 4 portfolios

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.

Hypotheses monitored by this metric

Access this metric

A personal metric: submit your portfolio, then read your own values. See the Personal metrics guide.

curl -X POST -H "X-API-Key: $MADJIK_API_KEY" -H "Content-Type: application/json" \
  -d '{"positions": [{"symbol": "BTC", "qty": 0.5}]}' https://api.madjik.io/v1/portfolio
curl -H "X-API-Key: $MADJIK_API_KEY" https://api.madjik.io/v1/metrics/personal

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