Quantification of the energy consumption of entanglement distribution
Karol Horodecki, Marek Winczewski, Leonard Sikorski, Pawe{\l} Mazurek, Miko{\l}aj Czechlewski, Raja Yehia

TL;DR
This paper develops a framework to quantify the fundamental energy cost of entanglement distribution in quantum networks, revealing irreversibility leads to non-zero energy costs and providing bounds on energy consumption.
Contribution
It introduces a hardware-independent measure of energy cost for entanglement distribution and derives bounds, highlighting the impact of irreversibility on energy requirements.
Findings
Lower bound on energy cost for distributing maximally entangled states.
Energy costs of entanglement distillation protocols exceed the fundamental bound.
Framework applicable to other quantum resources.
Abstract
Inspired by environmental sciences, we develop a framework to quantify the energy needed to generate quantum entanglement via noisy quantum channels, focusing on the hardware-independent, i.e. fundamental cost. Within this framework, we define a measure of the minimal fundamental energy consumption rate per distributed entanglement (expressed in Joule per ebit). We then derive a lower bound on the energy cost of distributing a maximally entangled state via a quantum channel, which yields a quantitative estimate of energy investment per entangled bit for future quantum networks. We thereby show that irreversibility in entanglement theory implies a non-zero energy cost in standard entanglement distribution protocols. We further establish an upper bound on the fundamental energy consumption rate of entanglement distribution by determining the minimal energy required to implement quantum…
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.
Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics
