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_kingston (156 qubits)
Machine type
superconducting QPU (IBM Heron)
Qubits used
1
Circuits per run
1
Shots per run
8,192
Circuit depth
5
Two-qubit gates
0
Gate basis
cz, rz, sx, x (IBM Heron native)
Algorithm
shallow hardware profile of the personal twin (direct readout, small QAOA grid)
Profile
shallow
Error mitigation
dynamical decoupling + measurement twirling; no post-hoc correction
Hardware runs
15
Last run
2026-10-11T09:01:26
How measured
recorded circuits compiled with the ibm_kingston device model (estimate of the submitted circuits)
Note
maximum over 6 portfolios; circuits differ with portfolio size
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
1
Circuits per run
4
Shots per run
8,192
Circuit depth
2
Two-qubit gates
0
Gate basis
u, cx (Aer, flattened)
Algorithm
personal_core twin (see methodology)
Profile
full
Error mitigation
none (noise-free simulation)
How measured
recorded circuits, compiled to u/cx
Note
maximum over 6 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.