A Useful Metric for the NISQ Era: Qubit Error Probability and Its Role in Zero Noise Extrapolation
arXiv:2503.10204 · doi:10.1116/5.0287324
Abstract
Accurate assessment and management of errors is indispensable for extracting useful results from noisy intermediate-scale quantum (NISQ) devices. In this work, we propose the qubit error probability (QEP), a device specific metric that combines relaxation, dephasing, gate, and measurement contributions into a single per qubit figure of merit computable before execution. Leveraging QEP as the control variable, we revisit zero noise extrapolation (ZNE) by adding pairs of controlled native two-qubit gates on all connected qubit pairs to generate circuits with successively larger mean QEP; the zero error limit is then approximated by a linear regression of the measured observable against those values. Benchmarking on IBM Quantum Heron processors, we apply QEP guided ZNE to first order Trotterized simulations of the two dimensional transverse field Ising model, chosen as a representative interacting many body system, involving up to 68 qubits and 15 Trotter steps. In regimes where the raw circuits exhibit a finite mean QEP, the method suppresses observable errors beyond those attainable with circuit depth scaled ZNE, while requiring only three noise scaled evaluations and no additional classical post processing. These results demonstrate that QEP serves as a transparent and efficient error metric, and that its integration into ZNE provides a practical route to reliability gains on current superconducting hardware, without the resource costs associated with full quantum error correction.
arXiv comment9 pages, 6 figures
References in corpus (39)
- Quantum Computing in the NISQ era and beyond
- Supplementary information for "Quantum supremacy using a programmable superconducting processor"
- Charge insensitive qubit design derived from the Cooper pair box
- Variational Quantum Algorithms
- Hardware-efficient Variational Quantum Eigensolver for Small Molecules and Quantum Magnets
- Noisy intermediate-scale quantum (NISQ) algorithms
- Simulated Quantum Computation of Molecular Energies
- Error mitigation for short-depth quantum circuits
- Quantum Error Correction for Quantum Memories
- Strong quantum computational advantage using a superconducting quantum processor
- Quantum information processing with superconducting circuits: a review
- Quantum error correction below the surface code threshold
- Efficient variational quantum simulator incorporating active error minimisation
- Quantum Error Mitigation
- Superconducting qubit in waveguide cavity with coherence time approaching 0.1ms
- New material platform for superconducting transmon qubits with coherence times exceeding 0.3 milliseconds
- Noise tailoring for scalable quantum computation via randomized compiling
- Procedure for systematically tuning up crosstalk in the cross resonance gate
- Mitigating measurement errors in multi-qubit experiments
- Observation of Time-Crystalline Eigenstate Order on a Quantum Processor
- The Bitter Truth About Quantum Algorithms in the NISQ Era
- Model-free readout-error mitigation for quantum expectation values
- Resource Efficient Zero Noise Extrapolation with Identity Insertions
- Detector Tomography on IBM 5-qubit Quantum Computers and Mitigation of Imperfect Measurement
- Modelling and Simulating the Noisy Behaviour of Near-term Quantum Computers
- Exact Ising model simulation on a quantum computer
- Scaling of the quantum approximate optimization algorithm on superconducting qubit based hardware
- Multi-exponential Error Extrapolation and Combining Error Mitigation Techniques for NISQ Applications
- How many qubits are needed for quantum computational supremacy?
- Quantum-classical simulation of two-site dynamical mean-field theory on noisy quantum hardware
- Analytic Design of Accelerated Adiabatic Gates in Realistic Qubits: General Theory and Applications to Superconducting Circuits
- Determining quantum phase diagrams of topological Kitaev-inspired models on NISQ quantum hardware
- Approximating the quantum approximate optimization algorithm with digital-analog interactions
- Benchmarking Noise Extrapolation with OpenPulse
- Optimization of Richardson extrapolation for quantum error mitigation
- Error estimation in current noisy quantum computers
- Fidelity-Enhanced Variational Quantum Optimal Control
- Quantum error mitigation by layerwise Richardson extrapolation
- Mitigating Quantum Gate Errors for Variational Eigensolvers Using Hardware-Inspired Zero-Noise Extrapolation