Separation of Variables in AdS/CFT: Functional Approach for the Fishnet CFT
Andrea Cavagli\`a, Nikolay Gromov, Fedor Levkovich-Maslyuk

TL;DR
This paper develops a functional separation of variables approach for the fishnet 4D CFT, enabling non-perturbative computation of complex observables and providing insights potentially applicable to N=4 SYM.
Contribution
It introduces a novel functional SoV formalism for the fishnet CFT, facilitating non-perturbative calculations of observables with potential extensions to N=4 SYM.
Findings
Developed a functional SoV formalism for fishnet CFT.
Derived a SoV-type expression for diagonal OPE coefficients.
Discussed the potential application of methods to N=4 SYM.
Abstract
The major simplification in a number of quantum integrable systems is the existence of special coordinates in which the eigenstates take a factorised form. Despite many years of studies, the basis realising the separation of variables (SoV) remains unknown in N=4 SYM and similar models, even though it is widely believed they are integrable. In this paper we initiate the SoV approach for observables with nontrivial coupling dependence in a close cousin of N=4 SYM - the fishnet 4D CFT. We develop the functional SoV formalism in this theory, which allows us to compute non-perturbatively some nontrivial observables in a form suitable for numerical evaluation. We present some applications of these methods. In particular, we discuss the possible SoV structure of the one-point correlators in presence of a defect, and write down a SoV-type expression for diagonal OPE coefficients involving an…
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