Process Tensor Framework¶
Claim/Theorem¶
Pollock, Rodriguez-Rosario, Frauenheim, Paternostro, and Modi give a complete operational framework for non-Markovian quantum processes in terms of a process tensor: a multilinear object, equivalently a generalized Choi state, that determines the statistics of any allowed sequence of interventions using only experimentally accessible quantities. This provides the natural mathematical language for replacing a time-correlated noise history by one finite tensor object on the intervention slots.
Dependencies¶
- None.
Conflicts/Gaps¶
- This is a representation theorem, not an anticoncentration theorem.
- The framework is completely general and does not by itself encode bounded memory, nonunitality, contraction, or spatial locality.
- To use it in Conjecture 1, one still needs an additional structural restriction, such as finite Markov order or an efficiently compressible tensor-network form.
Sources¶
10.1103/PhysRevA.97.012127