Pith. sign in

REVIEW 5 cited by

Digital zero noise extrapolation for quantum error mitigation

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2005.10921 v2 pith:6XVGPS6P submitted 2020-05-21 quant-ph

Digital zero noise extrapolation for quantum error mitigation

classification quant-ph
keywords quantumextrapolationnoisescalingdigitalerrortechniqueaccess
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
0 comments
read the original abstract

Zero-noise extrapolation (ZNE) is an increasingly popular technique for mitigating errors in noisy quantum computations without using additional quantum resources. We review the fundamentals of ZNE and propose several improvements to noise scaling and extrapolation, the two key components in the technique. We introduce unitary folding and parameterized noise scaling. These are digital noise scaling frameworks, i.e. one can apply them using only gate-level access common to most quantum instruction sets. We also study different extrapolation methods, including a new adaptive protocol that uses a statistical inference framework. Benchmarks of our techniques show error reductions of 18X to 24X over non-mitigated circuits and demonstrate ZNE effectiveness at larger qubit numbers than have been tested previously. In addition to presenting new results, this work is a self-contained introduction to the practical use of ZNE by quantum programmers.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 5 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Feynman's clock and hierarchy-informed sampling for quantum error mitigation

    quant-ph 2026-07 conditional novelty 6.0

    Feynman's clock maps arbitrary circuits onto Hamiltonian dynamics whose BBGKY hierarchy enables polynomial-overhead, controllable error mitigation via informed sampling.

  2. Quantum Simulation of the Real-time Dynamics in the multi-flavor Gross-Neveu Model at the utility scale using Superconducting Quantum Computers

    quant-ph 2026-05 unverdicted novelty 6.0

    A scalable Trotterization and Localized Diagonal Operator Approximation enable real-time quantum simulation of the multi-flavor Gross-Neveu model on utility-scale superconducting hardware.

  3. Overlapped groupings for quantum energy estimation: Maximal variance reduction and deterministic algorithms for reducing variance

    quant-ph 2026-04 unverdicted novelty 6.0

    Overlapped grouping enables linear-in-terms variance reduction for quantum energy estimation via a new repacking algorithm, with numerical gains growing with problem size.

  4. Continuous-time evolution via probabilistic angle interpolation and its applications

    quant-ph 2026-04 unverdicted novelty 6.0

    Continuous-time probabilistic angle interpolation enables Trotter-error-free stochastic quantum evolution, demonstrated on H3+ ground-state energy and sparse SYK out-of-time-ordered correlators via simulations and tra...

  5. Robustness Evaluation of Hybrid Quantum Neural Networks under Noise Models via System-Level Error Mitigation

    quant-ph 2026-04 unverdicted novelty 3.0

    Simulations show hybrid quantum neural networks on Iris data degrade under depolarizing and amplitude-damping noise while phase-flip and phase-damping noise are less damaging, with ZNE, DDD, LRE, and PEC providing lim...