Loss-of-entanglement prediction of a controlled-PHASE gate in the framework of steepest-entropy-ascent quantum thermodynamics
J. A. Monta\~nez-Barrera, Cesar E. Damian-Ascencio, Michael R. von, Spakovsky, Sergio Cano-Andrade

TL;DR
This paper applies the steepest-entropy-ascent quantum thermodynamics framework to predict entanglement loss in a controlled-PHASE gate, offering a thermodynamic perspective on irreversibility effects in quantum computing.
Contribution
It introduces a novel approach using nonequilibrium thermodynamics to model and predict entanglement loss in quantum gates, aligning well with experimental data.
Findings
Predicted entanglement loss correlates with irreversibilities.
Framework reproduces experimental behavior of controlled-PHASE gate.
Provides insights for improving quantum fidelity and entanglement duration.
Abstract
As has been shown elsewhere, a reasonable model of the loss of entanglement or correlation that occurs in quantum computations is one which assumes that they can effectively be predicted by a framework that presupposes the presence of irreversibilities internal to the system. It is based on the steepest-entropy-ascent principle and is used here to reproduce the behavior of a controlled-PHASE gate in good agreement with experimental data. The results show that the loss of entanglement predicted is related to the irreversibilities in a nontrivial way, providing a possible alternative approach that warrants exploration to that conventionally used to predict the loss of entanglement. The results provide a means for understanding this loss in quantum protocols from a nonequilibrium thermodynamic standpoint. This framework permits the development of strategies for extending either the maximum…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
