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Anytime-Valid Quantum State Tomography via Confidence Sequences

Information Theory 2026-05-18 v2 math.IT Statistics Theory Statistics Theory

Abstract

In this letter, we address the problem of developing quantum state tomography (QST) methods that remain valid at any time during a sequence of measurements. Specifically, the aim is to provide a rigorous quantification of the uncertainty associated with the current state estimate as data are acquired incrementally. To this end, the proposed framework augments existing QST techniques by associating current point estimates of the state with confidence sets that are guaranteed to contain the true quantum state with a user-defined probability. The methodology is grounded in recent statistical advances in anytime-valid confidence sequences. Numerical results confirm the theoretical coverage properties of the proposed anytime-valid QST.

Keywords

Cite

@article{arxiv.2601.20761,
  title  = {Anytime-Valid Quantum State Tomography via Confidence Sequences},
  author = {Aldo Cumitini and Luca Barletta and Osvaldo Simeone},
  journal= {arXiv preprint arXiv:2601.20761},
  year   = {2026}
}

Comments

Paper submitted to an IEEE journal

R2 v1 2026-07-01T09:24:11.810Z