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Whale Accumulation Index (M50037)

Metric IDM50037
Categoryonchain
Accesspublic
Classificationclassic
Tierpro
ComputationClassical + Quantum (hardware) + Quantum (simulated)
Computed byBlack Belt Labs
Freshnessfresh

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_kingston (156 qubits)
Machine typesuperconducting QPU (IBM Heron)
Qubits used3
Circuits per run5
Shots per run10,240
Circuit depth288
Two-qubit gates83
Gate basiscz, rz, sx, x (IBM Heron native)
Algorithmamplitude estimation (MLAE) of the balance-weighted non-exchange mass
Profilefull
Error mitigationdynamical decoupling + measurement twirling; no post-hoc correction
Hardware runs1
Last run2026-09-29T17:16:00
IBM job iddatv43rg95ks73ehhcfg
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 used3
Shots per run10,240
Gate basisu, cx (Aer, flattened)
Algorithmamplitude estimation (MLAE) of the balance-weighted non-exchange mass
Profilefull
Error mitigationnone (noise-free simulation)
How measuredmetadata of the last stored result (twin not re-recordable on current inputs)
Notecircuit count, depth and gate counts unavailable for this metric right now

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

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