Minimising the heat dissipation of quantum information erasure
M. Hamed Mohammady, Masoud Mohseni, and Yasser Omar

TL;DR
This paper investigates how to minimize heat dissipation during quantum information erasure within physical constraints, optimizing over unitary operations and exploring scenarios surpassing Landauer's limit.
Contribution
It provides a framework for minimizing heat dissipation in quantum erasure by explicit optimization over unitaries, including cases beyond Landauer's fundamental limit.
Findings
Optimal unitaries characterized using majorisation theory
Minimal heat dissipation can be below Landauer's limit under certain conditions
Explicit bounds on heat costs for probabilistic quantum state preparation
Abstract
Quantum state engineering and quantum computation rely on information erasure procedures that, up to some fidelity, prepare a quantum object in a pure state. Such processes occur within Landauer's framework if they rely on an interaction between the object and a thermal reservoir. Landauer's principle dictates that this must dissipate a minimum quantity of heat, proportional to the entropy reduction that is incurred by the object, to the thermal reservoir. However, this lower bound is only reachable for some specific physical situations, and it is not necessarily achievable for any given reservoir. The main task of our work can be stated as the minimisation of heat dissipation given probabilistic information erasure, i.e., minimising the amount of energy transferred to the thermal reservoir as heat if we require that the probability of preparing the object in a specific pure state…
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
TopicsQuantum Information and Cryptography · Quantum Mechanics and Applications · Advanced Thermodynamics and Statistical Mechanics
