Skip to content
DraconiticResearch
Search Sources API
203,948 studies31 sourcesUpdated 15 min ago
PreprintCC BY-NC-SA 4.0arXiv

Heisenberg Echo Symmetrization for Gate-Insertion Error Mitigation

Abstract

Gate insertion (GI) quantum error mitigation replaces involutory gates such as CZ and CX with 2j+1 repetitions of the same gates to nominally amplify noise by the same factor. Analytical and experimental results show that this amplification scaling fails for non-commuting gate noise, as typically encountered in realistic devices. Here we introduce Heisenberg-echo symmetrization (HES), which combines standard GI with an echo inspired by the Heisenberg representation to cancel the leading GI error. In our simulations, HES reduces the absolute fidelity error by one to two orders of magnitude compared with GI. Unlike the more accurate Layered-KIK method, HES is compatible with any hardware and requires only circuit-level access. It enables virtual noise scaling across platforms, potentially reducing sampling overhead substantially. Its agnostic noise amplification also provides full resilience to temporal noise drift. For pure initial states, however, high-rank observables can substantially increase the echo variance relative to non-echoed circuits, whereas rank-one observables incur no additional sampling overhead compared with GI or Layered-KIK. HES is therefore particularly suited to rank-one or nearly rank-one observables.

Related

  1. From Round-Trip State Echo to Error Recovery: Snapshot-Resolved Quantum-Hardware Diagnostics
    Isaac Barouch Essayag, Aryeh Lev Zabokritskiy
    arXivPreprintarXiv licenceFull textQuantum physics & quantum informationarXiv
  2. Quantum error mitigation simulates general non-Hermitian dynamics
    Hiroki Kuji, Suguru Endo, Tetsuro Nikuni +2
    Physical Review ResearchPeer-reviewedCC BY 4.0Atomic, molecular & optical physicsCrossref
  3. Feynman's clock and hierarchy-informed sampling for quantum error mitigation
    Theo Saporiti
    arXivPreprintCC BY 4.0Full textQuantum physics & quantum informationarXiv
  4. Proof of Heisenberg's Error-Disturbance Relation for Individual Measurements
    Seiji Kosugi
    arXivPreprintarXiv licenceFull textQuantum physics & quantum informationarXiv
  5. Probing the Error-Mitigation Threshold with Matrix Product States
    Jia-Yao Zhao, Zhi-Yuan Wei, Michael J. Gullans
    arXivPreprintarXiv licenceFull textQuantum physics & quantum informationarXiv
BibTeX
@misc{uzdin2026heisenberg,
  title = {{Heisenberg Echo Symmetrization for Gate-Insertion Error Mitigation}},
  author = {Raam Uzdin},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.11372},
  eprint = {2610.11372},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.11372},
  note = {CC BY-NC-SA 4.0},
}
RIS
TY  - UNPB
TI  - Heisenberg Echo Symmetrization for Gate-Insertion Error Mitigation
AU  - Raam Uzdin
PY  - 2026
DA  - 2026/10/08
PB  - arXiv
DO  - 10.48550/arxiv.2610.11372
UR  - https://arxiv.org/abs/2610.11372
AB  - Gate insertion (GI) quantum error mitigation replaces involutory gates such as CZ and CX with 2j+1 repetitions of the same gates to nominally amplify noise by the same factor. Analytical and experimental results show that this amplification scaling fails for non-commuting gate noise, as typically encountered in realistic devices. Here we introduce Heisenberg-echo symmetrization (HES), which combines standard GI with an echo inspired by the Heisenberg representation to cancel the leading GI error. In our simulations, HES reduces the absolute fidelity error by one to two orders of magnitude compared with GI. Unlike the more accurate Layered-KIK method, HES is compatible with any hardware and requires only circuit-level access. It enables virtual noise scaling across platforms, potentially reducing sampling overhead substantially. Its agnostic noise amplification also provides full resilience to temporal noise drift. For pure initial states, however, high-rank observables can substantially increase the echo variance relative to non-echoed circuits, whereas rank-one observables incur no additional sampling overhead compared with GI or Layered-KIK. HES is therefore particularly suited to rank-one or nearly rank-one observables.
ER  -