VibeMathedMath problems solved with AI

The Fractional Colouring Conjecture for Triply Efficient Pauli Shadow Tomography

Conjecture 13 of King, Gosset, Kothari and Babbush asserts that for the set Bε(ρ)B_\varepsilon(\rho) of Pauli observables with expectation value at least ε\varepsilon in magnitude, the fractional chromatic number of the induced anticommutation graph is O(ε2)O(\varepsilon^{-2}); it would give a triply efficient Pauli shadow tomography algorithm. False: there are states and observables for which no finite constant bounds χfε2\chi_f \varepsilon^2.

Result
Disproved
Status
Candidate (review pending)
AI contribution
AI co-developed
Method
Construction
Field
Shadow tomography
Posed by
Robbie King, David Gosset, Robin Kothari and Ryan Babbush
Year posed
2025
Years open
1y
Solved
2026-08-20
Model
GPT Sol 5.6
Vendor
OpenAI
Collaborators
Jędrzej Stempin, Santiago Llorens, Felix Huber
Verification
Unreviewed
Publication
Preprint
Significance
16 / 100
Disclosed cost
Wikipedia
No dedicated article

What the AI did

The arXiv comments field reads "Found with GPT Sol 5.6", and the paper's AI statement says the model was used to derive the main results, Theorem A and Theorem B. The construction amplifies fractional chromatic numbers, beta numbers and expectation values through lexicographic graph products.

Verification

Checked by this site on 21 August 2026 against the paper (arXiv:2608.20113v1, 14pp): the refuted statement is Conjecture 13 of King, Gosset, Kothari and Babbush in PRX Quantum 6, 010336 (2025), and the AI statement is as quoted. The constructions were not checked here. Days-old preprint, no independent review.

Source

Changelog1 change

Discussion