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Counterparty Exposure Index (M50006)

Metric IDM50006
Categoryderivatives
Accesspublic
Classificationproprietary
ComputationClassical + Quantum (hardware) + Quantum (simulated)
Computed byBlack Belt Labs
Freshnessfresh
Last refreshed

Calculation methods

MethodLast refreshed
Classical
Quantum (simulated)
Quantum (hardware)

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 on hardware (quant-hw)
ProviderIBM Quantum Platform (Open plan)
Machineibm_marrakesh (156 qubits)
Machine typesuperconducting QPU (IBM Heron)
Qubits used4
Circuits per run4
Shots per run16,384
Circuit depth9
Two-qubit gates2
Gate basiscz, rz, sx, x (IBM Heron native)
Algorithmtwo-copy collision test on the OI-share state (counterparty concentration)
Profilefull
Error mitigationdynamical decoupling + measurement twirling; no post-hoc correction
Hardware runs2
Last run2026-10-05T06:31:02
IBM job iddb1k38ivog1s73fi8b60
How measuredIBM job record (transpiled circuit stats)
MethodQuantum computing simulated (quant-sim)
ProviderQiskit Aer simulator (IBM open-source software) on Google Cloud
Machineaer_simulator
Machine typeclassical simulator (CPU, noise-free)
Qubits used4
Circuits per run4
Shots per run16,384
Circuit depth4
Two-qubit gates2
Gate basisu, cx (Aer, flattened)
Algorithmtwo-copy collision test on the OI-share state (counterparty concentration)
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 20261016T0000_969f7081 · 2026-10-16 00:00 UTC

StepMethodValue
Classical, exactclassical41.6
Production value (-0.0 h from the snapshot)classical41.6
Quantum simulator, idealquantum simulated41.6
Quantum simulator, sampledquantum simulated41.8 ± 0.2351
Noisy device modelquantum simulated40.8 ± 0.2697

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/M50006

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