A Quantum Oracle Separation Between and
We find a quantum oracle relative to which . As a consequence, we resolve the no-disentanglers conjecture of Watrous: for every , any -disentangler requires input size exponential in the number of output qubits.
- Result
- Proved(see note)
- Status
- Resolved
- AI contribution
- AI-discovered
- Method
- Construction
- Field
- Quantum complexity theory
- Posed by
- John Watrous (the no-disentanglers conjecture, as reported by Aaronson, Beigi, Drucker, Fefferman and Shor)
- Year posed
- 2009
- Years open
- 17y
- Solved
- 2026-09-02
- Model
- ChatGPT 5.6 Sol
- Vendor
- OpenAI
- Collaborators
- John Bostanci; Sabee Grewal; Jonas Haferkamp; Andrew Huang; Yeongwoo Hwang; Anand Natarajan; Chinmay Nirkhe
- Verification
- Unreviewed
- Publication
- Preprint
- Significance
- 36 / 100
- Disclosed cost
- —
- Wikipedia
- 6 languages
What was actually shown
The authors construct a unitary oracle such thatTheir black-box problem is solvable by a verifier with one oracle query and linear-size unentangled proofs, whereas any verifier must use either exponentially many queries or an exponentially large witness.
As a non-oracle consequence, they prove that for every fixed with , any -disentangler requires exponentially many input qubits in the number of output qubits, resolving Watrous's no-disentanglers conjecture.
What the AI did
The authors explicitly state that the proof idea underlying the main theorem was generated using ChatGPT 5.6 Sol. They initially directed Sol to the unitary polynomial method of She and Yuen; with minimal further guidance, the model proposed the proof idea used in the paper. The authors then verified, simplified, and developed the argument. The key construction uses symmetric and antisymmetric subspace projectors to make the relevant local-unitary invariant polynomials collapse to a single univariate polynomial, reducing the lower bound to the approximate degree of .
Verification
Unreviewed. A 25-page preprint two days old, no peer review, no formalisation. Seven authors, including several who work on exactly this, state that they "verified, simplified, and developed" the model's proof idea and take full responsibility. The argument reduces to the approximate degree of OR through the She-Yuen unitary polynomial method, so it is checkable by anyone who knows that toolkit. Nobody outside the author list has done so on the record.
Sources
Submitted by VibeGene on