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Nonlinear Quantum Mechanics and Artificial Intelligence

Jonathan Oppenheim

TL;DR

This work examines a criterion for relativistic covariance of nonlinear quantum field theory recently proposed by GPT-5 and shows that this criterion inadvertently tests a different property -- locality of the Hamiltonian -- and is insensitive to whether the theory is nonlinear.

Abstract

We examine a criterion for relativistic covariance of nonlinear quantum field theory recently proposed by GPT-5 and published in Physics Letters B. We show that this criterion inadvertently tests a different property -- locality of the Hamiltonian -- and is insensitive to whether the theory is nonlinear. We recall the correct criterion, identified by Gisin and Polchinski thirty-five years ago, and reformulate their result in field-theoretic language.

Nonlinear Quantum Mechanics and Artificial Intelligence

TL;DR

This work examines a criterion for relativistic covariance of nonlinear quantum field theory recently proposed by GPT-5 and shows that this criterion inadvertently tests a different property -- locality of the Hamiltonian -- and is insensitive to whether the theory is nonlinear.

Abstract

We examine a criterion for relativistic covariance of nonlinear quantum field theory recently proposed by GPT-5 and published in Physics Letters B. We show that this criterion inadvertently tests a different property -- locality of the Hamiltonian -- and is insensitive to whether the theory is nonlinear. We recall the correct criterion, identified by Gisin and Polchinski thirty-five years ago, and reformulate their result in field-theoretic language.

Paper Structure

This paper contains 6 equations.