Sample Complexity of Black Box Work Extraction

Fuente: arXiv
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Main Authors: Chakraborty, Shantanav, Das, Siddhartha, Ghorui, Arnab, Hazra, Soumyabrata, Singh, Uttam
Format: Preprint
Published: 2024
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author Chakraborty, Shantanav
Das, Siddhartha
Ghorui, Arnab
Hazra, Soumyabrata
Singh, Uttam
author_facet Chakraborty, Shantanav
Das, Siddhartha
Ghorui, Arnab
Hazra, Soumyabrata
Singh, Uttam
contents Extracting work from a physical system is one of the cornerstones of quantum thermodynamics. The extractable work, as quantified by ergotropy, necessitates a complete description of the quantum system. This is significantly more challenging when the state of the underlying system is unknown, as quantum tomography is extremely inefficient. In this article, we analyze the number of samples of the unknown state required to extract work. With only a single copy of an unknown state, we prove that ergotropy approaches zero in the asymptotic limit, rendering work extraction nearly impossible. In contrast, when multiple copies are available, we quantify the sample complexity required to estimate extractable work, establishing a scaling relationship that balances the desired accuracy with success probability. Our work develops a sample-efficient protocol to assess the utility of unknown states as quantum batteries and opens avenues for estimating thermodynamic quantities using near-term quantum computers.
format Preprint
id arxiv_https___arxiv_org_abs_2412_02673
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Sample Complexity of Black Box Work Extraction
Chakraborty, Shantanav
Das, Siddhartha
Ghorui, Arnab
Hazra, Soumyabrata
Singh, Uttam
Quantum Physics
Mathematical Physics
Extracting work from a physical system is one of the cornerstones of quantum thermodynamics. The extractable work, as quantified by ergotropy, necessitates a complete description of the quantum system. This is significantly more challenging when the state of the underlying system is unknown, as quantum tomography is extremely inefficient. In this article, we analyze the number of samples of the unknown state required to extract work. With only a single copy of an unknown state, we prove that ergotropy approaches zero in the asymptotic limit, rendering work extraction nearly impossible. In contrast, when multiple copies are available, we quantify the sample complexity required to estimate extractable work, establishing a scaling relationship that balances the desired accuracy with success probability. Our work develops a sample-efficient protocol to assess the utility of unknown states as quantum batteries and opens avenues for estimating thermodynamic quantities using near-term quantum computers.
title Sample Complexity of Black Box Work Extraction
topic Quantum Physics
Mathematical Physics
url https://arxiv.org/abs/2412.02673