Model of quantum measurement and thermodynamical cost of accuracy and stability of information processing
Robert Alicki

TL;DR
This paper introduces a new quantum measurement model using a coupled spin and oscillator, analyzing the quantum-classical transition, measurement accuracy, stability, and thermodynamic costs, with implications for quantum information processing.
Contribution
It presents a solvable quantum measurement model with a controlled single-bit memory, providing new insights into measurement accuracy, stability, and thermodynamic costs beyond Landauer's principle.
Findings
Stable pointer states are Gaussian states of the quantum oscillator.
Relations between measurement accuracy, stability, and thermodynamic costs are derived.
Implications for the efficiency of quantum Szilard engines and minimal work estimates.
Abstract
The quantum measurement problem is revisited and discussed in terms of a new solvable measurement model which basic ingredient is the quantum model of a controlled single-bit memory. The structure of this model involving strongly coupled spin and quantum harmonic oscillator allows to define stable pointer states as well-separated Gaussian states of the quantum oscillator and analyze the transition from quantum to classical regime. The relations between accuracy of measurement, stability of pointer states, effective temperature of joint thermal and quantum noise and minimal work needed to perform the bit-flip are derived. They differ from those based on the Landauer principle and are used to analyze thermodynamic efficiency of quantum Szilard engine and imply more realistic estimations of minimal amount of work needed to perform long computations.
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 · Advanced Thermodynamic Systems and Engines · Field-Flow Fractionation Techniques
