Name
QESEM (ZNE), ibm_boston, ZZd2, 51qx26c
Circuit
floquet_mixed_field_ising_zzd2_51qx26c
Observable value
0.2604
Error bound (low)
0.2569
Error bound (high)
0.2639
Method
QESEM-ZNE, IBM
Method proof
The experiment is executed on ibm_boston using Qedma’s QESEM error-suppression
and error-mitigation framework. The protocol uses the same device characterization,
Pauli-noise modeling, error-suppression stack, drift handling, and hardware-native
fractional-angle gate support as QESEM-unbiased, building on the framework described
in Ref. [1]. As in the “QESEM (unbiased), ibm_boston, mag, 51qx16c #167”
solution, the Floquet circuit is implemented directly using the device’s native
fractional-angle gates, including fractional-angle RZZ gates.
For the later Floquet cycles reported here, the sampling overhead of the unbiased
quasiprobabilistic estimator is too large. We therefore use zero-noise extrapolation
(ZNE) based on QESEM, following the standard approach of estimating observables at
amplified noise levels and extrapolating to zero noise [2]. In this implementation,
double-noise data are generated using quasiprobabilistic error amplification from the
characterized noise model, and the zero-noise value is inferred using an exponential
extrapolation ansatz.
-
D. Aharonov et al., Reliable high-accuracy error mitigation for utility-scale
quantum circuits, arXiv:2508.10997, 2025.
-
A. Kandala et al., Error mitigation extends the computational reach of a noisy
quantum processor, Nature 567, 491–495 (2019).
Quantum runtime (seconds)
1200
Classical runtime (seconds)
668
Compute resources (quantum)
ibm_boston
Compute resources (classical)
32 CPUS, 32 GB
Notes
No response
Authors
No response
Institutions
Qedma, IBM, Riken, BlueQubit
Name
QESEM (ZNE), ibm_boston, ZZd2, 51qx26c
Circuit
floquet_mixed_field_ising_zzd2_51qx26c
Observable value
0.2604
Error bound (low)
0.2569
Error bound (high)
0.2639
Method
QESEM-ZNE, IBM
Method proof
The experiment is executed on ibm_boston using Qedma’s QESEM error-suppression and error-mitigation framework. The protocol uses the same device characterization, Pauli-noise modeling, error-suppression stack, drift handling, and hardware-native fractional-angle gate support as QESEM-unbiased, building on the framework described in Ref. [1]. As in the “QESEM (unbiased), ibm_boston, mag, 51qx16c #167” solution, the Floquet circuit is implemented directly using the device’s native fractional-angle gates, including fractional-angle RZZ gates.
For the later Floquet cycles reported here, the sampling overhead of the unbiased quasiprobabilistic estimator is too large. We therefore use zero-noise extrapolation (ZNE) based on QESEM, following the standard approach of estimating observables at amplified noise levels and extrapolating to zero noise [2]. In this implementation, double-noise data are generated using quasiprobabilistic error amplification from the characterized noise model, and the zero-noise value is inferred using an exponential extrapolation ansatz.
Quantum runtime (seconds)
1200
Classical runtime (seconds)
668
Compute resources (quantum)
ibm_boston
Compute resources (classical)
32 CPUS, 32 GB
Notes
No response
Authors
No response
Institutions
Qedma, IBM, Riken, BlueQubit