The PPT-squared conjecture: is the composition of two PPT channels always entanglement breaking?
A linear map is PPT if both and are completely positive, the transpose, and entanglement breaking if is separable for every positive , equivalently its Choi matrix is separable. Christandl conjectured that composing two PPT channels always yields an entanglement-breaking channel; the question was recorded as Problem G of the 2012 BIRS workshop 'Operator structures in quantum information theory', and stated for pairs of PPT maps as Conjecture IV.1 of Christandl, Muller-Hermes and Wolf (2019). Is entanglement breaking for all PPT channels , in particular is entanglement breaking for every PPT channel ?
- Result
- Disproved(see note)
- Status
- Candidate (review pending)
- AI contribution
- AI-discovered
- Method
- Construction
- Field
- Quantum channels: PPT maps and entanglement breaking
- Posed by
- M. Christandl, recorded as Problem G of the BIRS workshop report 12w5084 (2012); stated as Conjecture IV.1 by M. Christandl, A. Muller-Hermes and M. M. Wolf, Ann. Henri Poincare 20 (2019)
- Year posed
- 2012
- Years open
- 14y
- Solved
- 2026-09-27
- Model
- Unreleased internal OpenAI model
- Vendor
- OpenAI
- Collaborators
- —
- Verification
- Lean-checked, statement unaudited
- Publication
- Announced
- Collection
- OpenAI math release (October 2026), version adc7f12
- Significance
- 36 / 100
- Disclosed cost
- —
- Wikipedia
- No dedicated article
What was actually shown
Theorem 1.3: there is an explicit trace-preserving PPT channel on with not entanglement breaking, answering the 2012 channel question negatively with the same channel in both slots. Theorem 1.2: explicit PPT maps on (not trace preserving) whose composition has nonzero Choi matrix with no product vector in its range, refuting the unrestricted two-map Conjecture IV.1. The same pair yields the zero-key entangled state of the companion entry. Not shown: minimal dimensions, or whether every PPT channel becomes entanglement breaking after three compositions (the PPT-cubed question).
What the AI did
The OpenAI math release (github.com/openai/math, commit adc7f12) states that its results were produced by an unreleased internal OpenAI model under one fixed procedure, averaging about three hours of ChatGPT Pro thinking compute per result. This result is not among the README's stated exceptions (the Re(s) > 11/12 zero-free region write-up and the Hodge conjecture for CM abelian varieties). The manuscript is credited to OpenAI alone and names no human author. The release also supplies Lean statements for both counterexamples, produced as part of the same release.
Verification
No independent mathematician has checked this yet. Checked here: Theorems 1.2 and 1.3 of the TeX source against BIRS Problem G and CMHW Conjecture IV.1, and the Lean statements lean/ComparatorChallenges/DimensionTenChannel.lean (OAI.DimensionTen.exists_channel_fin21) and DimensionTenPair.lean (OAI.DimensionTen.main_pair), whose solution modules exist at the pinned commit. Neither challenge is in the formalization catalogue; the statements were read here and were not rebuilt. exists_channel_fin21 states the headline directly: a trace-preserving PPT linear map on complex matrices whose square is not entanglement breaking, with PPT, trace preservation and entanglement breaking defined from scratch. main_pair states the two-map counterexample in dimension ten with explicitly defined maps. No minimal dimension is claimed.
Sources
- Lean proofLean comparator statement: DimensionTenChannel.leanLean solution module: OAI/Analysis/Quantum/DimensionTen/Channel.leanLean comparator statement: DimensionTenPair.lean
- CodeOpenAI math release: Entanglement with zero distillable secret key in local dimension ten
- Problem recordBIRS workshop 12w5084 report (2012), Problem GChristandl, Muller-Hermes, Wolf, When do composed maps become entanglement breaking? (arXiv:1807.01266)