Quick Navigation

Topics

Trapped Ion Quantum Computing Quantum Simulation

Calculating the quantum Fisher information via the truncated Wigner method

arXiv
Authors: Thakur G. M. Hiranandani, Joseph J. Hope, Simon A. Haine

Year

2026

Paper ID

38949

Status

Preprint

Abstract Read

~2 min

Abstract Words

95

Citations

N/A

Abstract

In this work, we propose new methods of parameter estimation using stochastic sampling quantum phase-space simulations. We show that it is possible to compute the quantum Fisher information (QFI) from semiclassical stochastic samples using the Truncated Wigner Approximation (TWA). This method extends the class of quantum systems whose fundamental sensitivity limit can be computed efficiently to any system that can be modelled using the TWA, allowing the analysis of more meteorologically useful quantum states. We illustrate this approach with examples, including a system that evolves outside the spin-squeezing regime, where the method of moments fails.

Why This Paper Matters

  • This paper contributes to the Quantum Simulation research area in the Quantum Articles archive.
  • It adds a 2026 reference point for readers tracking recent quantum research.
  • In this work, we propose new methods of parameter estimation using stochastic sampling quantum phase-space simulations.

Paper Tools

Become a member to use research tools

Sign in to open papers, visit source links, share, cite, compare, copy DOI links, request category corrections, and build your reading list.

Show Paper arXiv Publisher Share Cite This Paper Copy URL Compare Copy DOI Add to Reading List Category Correction Request

References & Citation Signals

Local Citation Graph (Related-Paper Links)

Current Paper #38949 #69038 Physically Constrained Ensemble... #69023 Scalable Quantum Algorithms for... #68990 Driving Exchange Interaction in... #68985 Floquet Entanglement Generation...

External citation index: OpenAlex citation signal

Community Reactions

Quick sentiment from readers on this paper.

Score: 0
Likes: 0 Dislikes: 0

Sign in to react to this paper.

Discussion & Reviews (Moderated)

Average Rating: 0.0 / 5 (0 ratings)

No written reviews yet.