In quantum physics, the concept of Channel-State duality is of prime importance in understanding the final state of the system after passing through a channel or performing quantum operations. The result uses Choi-Jamiolkowski isomorphism since completely positive (CP) maps are involved.
Given a map $T:\mathcal{M}_d\to\mathcal{M}_d$ (matrices), then $T$ is completely positive iff $$ \tau:=(T\otimes \mathrm{id}_d)(|\Omega\rangle\langle \Omega|)$$ is a positive semidefinite matrix, where $|\Omega\rangle=\sum_{i=1}^d |ii\rangle$ the maximally entangled state.
I know that this theorem works fine for CP maps. Is there a generalization under the weaker assumption that one of the eigenvalues is negative? Essentially, does this theorem have a counterpart for not completely positive maps?
The following extension is the only extension that I know in the direction you want.
Given a $k-$positive map $T:\mathcal{M}_d\to\mathcal{M}_d$, then $$ \tau:=(\mathrm{id}_m \otimes T^*)(\rho)$$ has at most $(m-k)(d-k)$ negative eigenvalues, where $\rho$ is any state of $\mathcal{M}_m\otimes \mathcal{M}_d$.
Check the third paragraph of page 5 and theorem 1 of page 3 of this this paper.
Note that a $d-$positive map $T:\mathcal{M}_d\to\mathcal{M}_d$ is simply a completely positive map.