Quantum state certification with local measurements
Given a full classical description of an arbitrary reference state and copies of an unknown -qubit state , determine the optimal copy complexity of testing versus , with success at least , u
Problem statement
Given a full classical description of an arbitrary reference state and copies of an unknown -qubit state , determine the optimal copy complexity of testing versus , with success at least , using adaptive single-qubit Pauli measurements and no entangling measurements within or across copies. Seek matching instance-dependent bounds and the accompanying classical running time.
Lean 4
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Background
A full reference-state description can itself be exponentially long in ; computational costs must count its input length. Rank, spectrum and the reference eigenbasis relative to the allowed local measurements can matter. This concrete certification target is distinct from estimating an unknown state's spectral functional or learning many observable expectations.
What is known: Haah–Harrow–Ji–Wu–Yu establish sample-optimal tomography bounds in their collective-measurement model (IEEE TIT 63, 2017). August 2026 preprints refine restricted models: Wang's framework gives nearly tight lower bounds for a broad collection of spectral-functional tasks, while Acharya–Dharmavarapu–Liu–Yu nearly determine mixedness testing under single-qubit Pauli measurements, with copies. The maximally mixed reference is a benchmark, not a solution for every reference state or measurement trade-off.
A neighbouring August preprint by Stempin–Llorens–Huber disproves the fractional-colouring conjecture proposed as a route to universal triply efficient Pauli shadow tomography. It rules out that route, not every possible algorithm. Its front matter explicitly credits GPT Sol 5.6 with contributions to Theorems A and B; the previous no-disclosure statement was incorrect. Related: E3, A11.
Source disclosures
Wang reports ChatGPT 5.5/5.6 assistance with proof exploration and calculations, with substantial human input and author responsibility. Source
Stempin, Llorens and Huber explicitly report GPT Sol 5.6 contributions to their principal results, Theorems A and B, and say they verified and contextualized them. This corrects the former assertion that no declaration was present. Source
Progress & source assessment
Source catalogue review: 4 September 2026. Improved indicates partial progress, including qualified preprint claims.
preprint: Lower-bound framework for multiple quantum spectral-functional estimation tasks; task-specific hypotheses still apply. Evidence
preprint: Nearly tight single-qubit Pauli mixedness-testing copy complexity; arbitrary-reference certification remains a separate target. Evidence
preprint: Counterexamples close the proposed universal fractional-colouring route to triply efficient Pauli shadow tomography. Evidence
- [1]Haah, Harrow, Ji, Wu & Yu, 'Sample-optimal tomography of quantum states', IEEE Trans. Inf. Theory 63 (2017) link
- [2]Wang, 'A Lower Bound Framework for Quantum Functional Estimation' (2026 preprint) link
- [3]Acharya, Dharmavarapu, Liu & Yu, 'Quantum Mixedness Testing with Pauli Measurements' (2026 preprint) link
- [4]Stempin, Llorens & Huber, 'Counterexamples to the fractional coloring conjecture for triply efficient shadow tomography' (2026 preprint) link
Recorded progress
Add yours →Nothing recorded yet. A pointer to a paper the entry is missing counts.
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Discussion
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