Quantifying computational advantage of Grover’s algorithm with the trace speed
Abstract Despite intensive research, the physical origin of the speed-up offered by quantum algorithms remains mysterious. No general physical quantity, like, for instance, entanglement, can be singled out as the essential useful resource. Here we report a close connection between the trace speed an...
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2021-01-01
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Online Access: | https://doi.org/10.1038/s41598-020-80153-z |
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doaj-d6b0b61ac3d9426e9f5be5d58874ebfa2021-01-17T12:44:50ZengNature Publishing GroupScientific Reports2045-23222021-01-011111710.1038/s41598-020-80153-zQuantifying computational advantage of Grover’s algorithm with the trace speedValentin Gebhart0Luca Pezzè1Augusto Smerzi2QSTAR, INO-CNR and LENSQSTAR, INO-CNR and LENSQSTAR, INO-CNR and LENSAbstract Despite intensive research, the physical origin of the speed-up offered by quantum algorithms remains mysterious. No general physical quantity, like, for instance, entanglement, can be singled out as the essential useful resource. Here we report a close connection between the trace speed and the quantum speed-up in Grover’s search algorithm implemented with pure and pseudo-pure states. For a noiseless algorithm, we find a one-to-one correspondence between the quantum speed-up and the polarization of the pseudo-pure state, which can be connected to a wide class of quantum statistical speeds. For time-dependent partial depolarization and for interrupted Grover searches, the speed-up is specifically bounded by the maximal trace speed that occurs during the algorithm operations. Our results quantify the quantum speed-up with a physical resource that is experimentally measurable and related to multipartite entanglement and quantum coherence.https://doi.org/10.1038/s41598-020-80153-z |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Valentin Gebhart Luca Pezzè Augusto Smerzi |
spellingShingle |
Valentin Gebhart Luca Pezzè Augusto Smerzi Quantifying computational advantage of Grover’s algorithm with the trace speed Scientific Reports |
author_facet |
Valentin Gebhart Luca Pezzè Augusto Smerzi |
author_sort |
Valentin Gebhart |
title |
Quantifying computational advantage of Grover’s algorithm with the trace speed |
title_short |
Quantifying computational advantage of Grover’s algorithm with the trace speed |
title_full |
Quantifying computational advantage of Grover’s algorithm with the trace speed |
title_fullStr |
Quantifying computational advantage of Grover’s algorithm with the trace speed |
title_full_unstemmed |
Quantifying computational advantage of Grover’s algorithm with the trace speed |
title_sort |
quantifying computational advantage of grover’s algorithm with the trace speed |
publisher |
Nature Publishing Group |
series |
Scientific Reports |
issn |
2045-2322 |
publishDate |
2021-01-01 |
description |
Abstract Despite intensive research, the physical origin of the speed-up offered by quantum algorithms remains mysterious. No general physical quantity, like, for instance, entanglement, can be singled out as the essential useful resource. Here we report a close connection between the trace speed and the quantum speed-up in Grover’s search algorithm implemented with pure and pseudo-pure states. For a noiseless algorithm, we find a one-to-one correspondence between the quantum speed-up and the polarization of the pseudo-pure state, which can be connected to a wide class of quantum statistical speeds. For time-dependent partial depolarization and for interrupted Grover searches, the speed-up is specifically bounded by the maximal trace speed that occurs during the algorithm operations. Our results quantify the quantum speed-up with a physical resource that is experimentally measurable and related to multipartite entanglement and quantum coherence. |
url |
https://doi.org/10.1038/s41598-020-80153-z |
work_keys_str_mv |
AT valentingebhart quantifyingcomputationaladvantageofgroversalgorithmwiththetracespeed AT lucapezze quantifyingcomputationaladvantageofgroversalgorithmwiththetracespeed AT augustosmerzi quantifyingcomputationaladvantageofgroversalgorithmwiththetracespeed |
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