Quantifying memory capacity as a quantum thermodynamic resource

The information-carrying capacity of a memory is known to be a thermodynamic resource facilitating the conversion of heat to work. Szilard's engine explicates this connection through a toy example involving an energy-degenerate two-state memory. We devise a formalism to quantify the thermodynam...

Full description

Saved in:
Bibliographic Details
Main Authors: Narasimhachar, Varun, Thompson, Jayne, Ma, Jiajun, Gour, Gilad, Gu, Mile
Other Authors: School of Physical and Mathematical Sciences
Format: Article
Language:English
Published: 2019
Subjects:
Online Access:https://hdl.handle.net/10356/85422
http://hdl.handle.net/10220/48311
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-85422
record_format dspace
spelling sg-ntu-dr.10356-854222023-02-28T19:22:42Z Quantifying memory capacity as a quantum thermodynamic resource Narasimhachar, Varun Thompson, Jayne Ma, Jiajun Gour, Gilad Gu, Mile School of Physical and Mathematical Sciences Quantum Optics Memory Capacity DRNTU::Science::Physics The information-carrying capacity of a memory is known to be a thermodynamic resource facilitating the conversion of heat to work. Szilard's engine explicates this connection through a toy example involving an energy-degenerate two-state memory. We devise a formalism to quantify the thermodynamic value of memory in general quantum systems with nontrivial energy landscapes. Calling this the thermal information capacity, we show that it converges to the nonequilibrium Helmholtz free energy in the thermodynamic limit. We compute the capacity exactly for a general two-state (qubit) memory away from the thermodynamic limit, and find it to be distinct from known free energies. We outline an explicit memory-bath coupling that can approximate the optimal qubit thermal information capacity arbitrarily well. NRF (Natl Research Foundation, S’pore) MOE (Min. of Education, S’pore) Published version 2019-05-22T03:11:39Z 2019-12-06T16:03:30Z 2019-05-22T03:11:39Z 2019-12-06T16:03:30Z 2019 Journal Article Narasimhachar, V., Thompson, J., Ma, J., Gour, G., & Gu, M. (2019). Quantifying memory capacity as a quantum thermodynamic resource. Physical Review Letters, 122(6), 060601-. doi:10.1103/PhysRevLett.122.060601 0031-9007 https://hdl.handle.net/10356/85422 http://hdl.handle.net/10220/48311 10.1103/PhysRevLett.122.060601 en Physical Review Letters © 2019 American Physical Society. Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. 6 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Quantum Optics
Memory Capacity
DRNTU::Science::Physics
spellingShingle Quantum Optics
Memory Capacity
DRNTU::Science::Physics
Narasimhachar, Varun
Thompson, Jayne
Ma, Jiajun
Gour, Gilad
Gu, Mile
Quantifying memory capacity as a quantum thermodynamic resource
description The information-carrying capacity of a memory is known to be a thermodynamic resource facilitating the conversion of heat to work. Szilard's engine explicates this connection through a toy example involving an energy-degenerate two-state memory. We devise a formalism to quantify the thermodynamic value of memory in general quantum systems with nontrivial energy landscapes. Calling this the thermal information capacity, we show that it converges to the nonequilibrium Helmholtz free energy in the thermodynamic limit. We compute the capacity exactly for a general two-state (qubit) memory away from the thermodynamic limit, and find it to be distinct from known free energies. We outline an explicit memory-bath coupling that can approximate the optimal qubit thermal information capacity arbitrarily well.
author2 School of Physical and Mathematical Sciences
author_facet School of Physical and Mathematical Sciences
Narasimhachar, Varun
Thompson, Jayne
Ma, Jiajun
Gour, Gilad
Gu, Mile
format Article
author Narasimhachar, Varun
Thompson, Jayne
Ma, Jiajun
Gour, Gilad
Gu, Mile
author_sort Narasimhachar, Varun
title Quantifying memory capacity as a quantum thermodynamic resource
title_short Quantifying memory capacity as a quantum thermodynamic resource
title_full Quantifying memory capacity as a quantum thermodynamic resource
title_fullStr Quantifying memory capacity as a quantum thermodynamic resource
title_full_unstemmed Quantifying memory capacity as a quantum thermodynamic resource
title_sort quantifying memory capacity as a quantum thermodynamic resource
publishDate 2019
url https://hdl.handle.net/10356/85422
http://hdl.handle.net/10220/48311
_version_ 1759853910643703808