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.
Method
Quantum computing on hardware (quant-hw)
Provider
IBM Quantum Platform (Open plan)
Machine
ibm_marrakesh (156 qubits)
Machine type
superconducting QPU (IBM Heron)
Qubits used
4
Circuits per run
2
Shots per run
16,384
Circuit depth
65
Two-qubit gates
16
Gate basis
cz, rz, sx, x (IBM Heron native)
Algorithm
direct amplitude readout on hardware (shallow profile)
Profile
shallow
Error mitigation
dynamical decoupling + measurement twirling; no post-hoc correction
Hardware runs
2
Last run
2026-10-05T06:30:33
IBM job id
db1k3juegvvc73bho9vg
How measured
IBM job record (transpiled circuit stats)
Method
Quantum computing simulated (quant-sim)
Provider
Qiskit Aer simulator (IBM open-source software) on Google Cloud
Machine
aer_simulator
Machine type
classical simulator (CPU, noise-free)
Qubits used
6
Circuits per run
10
Shots per run
20,480
Circuit depth
2789
Two-qubit gates
1658
Gate basis
u, cx (Aer, flattened)
Algorithm
MLAE amplitude estimation of the fraction of marked (outperforming) items; >32 coins split over <=32-outcome circuits and recombined by count
Profile
full
Error mitigation
none (noise-free simulation)
How measured
recorded 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.