Skip to content
DraconiticResearch
Search Sources API
184,584 studies31 sourcesUpdated 15 min ago
PreprintarXiv licencearXiv

State-adapted generalized mean-field projections for Pauli propagation of Heisenberg dynamics

Abstract

The Heisenberg picture can make quantum many-body simulation efficient when evolved observables admit compact operator representation within low-dimensional structures. Conventional Pauli-string propagation and truncation techniques exploit this structure, but in coherent Hamiltonian dynamics their error control is often heuristic and their stability can be poor. We introduce a state-adapted Krylov framework based on geometric generalized mean-field projections of many-body observables onto low-body operator subspaces. The resulting dynamics approximate expectation values, do not extend spatial support beyond that prescribed by Lieb-Robinson bounds, and compress high-body correlations onto their state-relevant low-body representatives rather than simply discarding them. We derive necessary operator-entanglement obstructions to low-body representation and conditional sufficient bounds on representation and dynamical errors involving nonstabilizerness and controlled high-body tails. Numerical benchmarks show improved, stable finite-m hierarchies and simulations on large three-dimensional lattices, establishing a scalable state-adapted alternative to conventional Heisenberg-picture weight-truncation of Pauli strings.

Related

  1. A Readout-Aware Theory of Approximate Heisenberg Propagation
    Yubraj Bhandari, Jakob S. Kottmann, Adelina Bärligea
    arXivPreprintarXiv licenceFull textMathematical physicsQuantum physics & quantum informationarXiv
  2. Target-adapted Green-Bessel SVGD: uniform-in-time propagation of chaos and last-iterate consistency
    Trevor Teolis, Maarten V. de Hoop
    arXivPreprintarXiv licenceFull textProbabilityarXiv
  3. Generalized Ricci Solitons on Heisenberg and Oscillator Algebras
    Vicente Cortés, Shubham Dwivedi, Lorenz Jetter
    arXivPreprintCC BY-SA 4.0Full textGeometry & topologyarXiv
  4. Generalized tri-circular projections on some vector-valued spaces of analytic functions
    Hemant Kumar, Himanshu Kumar, Abdullah Bin Abu Baker
    arXivPreprintarXiv licenceFull textAnalysis & PDEsarXiv
  5. Efficient ADMM for Soft-Constrained Quadratic Programs via Generalized Slack Projections
    Roland Schwan, Thomas Lew, Brian Plancher
    arXivPreprintarXiv licenceFull textOptimisation & controlarXiv
BibTeX
@misc{perez2026stateadapted,
  title = {{State-adapted generalized mean-field projections for Pauli propagation of Heisenberg dynamics}},
  author = {Federico Tomás B. Pérez and Gabriela Wójtowicz and Martin B. Plenio},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.12840},
  eprint = {2609.12840},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.12840},
}
RIS
TY  - UNPB
TI  - State-adapted generalized mean-field projections for Pauli propagation of Heisenberg dynamics
AU  - Federico Tomás B. Pérez
AU  - Gabriela Wójtowicz
AU  - Martin B. Plenio
PY  - 2026
DA  - 2026/09/11
PB  - arXiv
DO  - 10.48550/arxiv.2609.12840
UR  - https://arxiv.org/abs/2609.12840
AB  - The Heisenberg picture can make quantum many-body simulation efficient when evolved observables admit compact operator representation within low-dimensional structures. Conventional Pauli-string propagation and truncation techniques exploit this structure, but in coherent Hamiltonian dynamics their error control is often heuristic and their stability can be poor. We introduce a state-adapted Krylov framework based on geometric generalized mean-field projections of many-body observables onto low-body operator subspaces. The resulting dynamics approximate expectation values, do not extend spatial support beyond that prescribed by Lieb-Robinson bounds, and compress high-body correlations onto their state-relevant low-body representatives rather than simply discarding them. We derive necessary operator-entanglement obstructions to low-body representation and conditional sufficient bounds on representation and dynamical errors involving nonstabilizerness and controlled high-body tails. Numerical benchmarks show improved, stable finite-m hierarchies and simulations on large three-dimensional lattices, establishing a scalable state-adapted alternative to conventional Heisenberg-picture weight-truncation of Pauli strings.
ER  -