Superactivation of memory effects in a classical Markov environment
Fabio Benatti, Giovanni Nichele

TL;DR
This paper explores the superactivation phenomenon where two non-Markovian dynamics combined exhibit information backflow, revealing new insights into classical Markov environments and quantum correlations.
Contribution
It demonstrates that superactivation of information backflow occurs in classical Markov environments and clarifies the role of quantum correlations without entanglement.
Findings
Superactivation occurs in classical Markov environments.
Backflow of information can be witnessed without entanglement.
The mechanism applies in both discrete and continuous-time dynamics.
Abstract
We investigate a phenomenon known as Superactivation of Backflow of Information (SBFI); namely, the fact that the tensor product of a non-Markovian dynamics with itself exhibits Backflow of Information (BFI) from environment to system even if the single dynamics does not. Such an effect is witnessed by the non-monotonic behaviour of the Helstrom norm and emerges in the open dynamics of two independent, but statistically coupled, parties. We physically interpret SBFI by means of the discrete-time non-Markovian dynamics of two open qubits collisionally coupled to an environment described by a classical Markov chain. In such a scenario SBFI can be ascribed to the decrease of the qubit-qubit-environment correlations in favour of those of the two qubits, only. We further prove that the same mechanism at the roots of SBFI also holds in a suitable continuous-time limit. We also show that SBFI…
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Taxonomy
TopicsNeural Networks and Applications · Neural dynamics and brain function
