A Comparison of Three Ways to Measure Time-Dependent Densities With Quantum Simulators
Quantum algorithms are touted as a way around some classically intractable problems such as the simulation of quantum mechanics. At the end of all quantum algorithms is a quantum measurement whereby classical data is extracted and utilized. In fact, many of the modern hybrid-classical approaches are...
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2021-03-01
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doaj-078acfe487734aa4ac9e2465f7c653a02021-03-19T06:01:02ZengFrontiers Media S.A.Frontiers in Physics2296-424X2021-03-01910.3389/fphy.2021.546538546538A Comparison of Three Ways to Measure Time-Dependent Densities With Quantum SimulatorsJun YangJames BrownJames Daniel WhitfieldQuantum algorithms are touted as a way around some classically intractable problems such as the simulation of quantum mechanics. At the end of all quantum algorithms is a quantum measurement whereby classical data is extracted and utilized. In fact, many of the modern hybrid-classical approaches are essentially quantum measurements of states with short quantum circuit descriptions. Here, we compare and examine three methods of extracting the time-dependent one-particle probability density from a quantum simulation: direct Z-measurement, Bayesian phase estimation, and harmonic inversion. We have tested these methods in the context of the potential inversion problem of time-dependent density functional theory. Our test results suggest that direct measurement is the preferable method. We also highlight areas where the other two methods may be useful and report on tests using Rigetti's quantum virtual device. This study provides a starting point for imminent applications of quantum computing.https://www.frontiersin.org/articles/10.3389/fphy.2021.546538/fullquantum measurementTDDFTBayesian inferenceharmonic inversionpotential inversion |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jun Yang James Brown James Daniel Whitfield |
spellingShingle |
Jun Yang James Brown James Daniel Whitfield A Comparison of Three Ways to Measure Time-Dependent Densities With Quantum Simulators Frontiers in Physics quantum measurement TDDFT Bayesian inference harmonic inversion potential inversion |
author_facet |
Jun Yang James Brown James Daniel Whitfield |
author_sort |
Jun Yang |
title |
A Comparison of Three Ways to Measure Time-Dependent Densities With Quantum Simulators |
title_short |
A Comparison of Three Ways to Measure Time-Dependent Densities With Quantum Simulators |
title_full |
A Comparison of Three Ways to Measure Time-Dependent Densities With Quantum Simulators |
title_fullStr |
A Comparison of Three Ways to Measure Time-Dependent Densities With Quantum Simulators |
title_full_unstemmed |
A Comparison of Three Ways to Measure Time-Dependent Densities With Quantum Simulators |
title_sort |
comparison of three ways to measure time-dependent densities with quantum simulators |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Physics |
issn |
2296-424X |
publishDate |
2021-03-01 |
description |
Quantum algorithms are touted as a way around some classically intractable problems such as the simulation of quantum mechanics. At the end of all quantum algorithms is a quantum measurement whereby classical data is extracted and utilized. In fact, many of the modern hybrid-classical approaches are essentially quantum measurements of states with short quantum circuit descriptions. Here, we compare and examine three methods of extracting the time-dependent one-particle probability density from a quantum simulation: direct Z-measurement, Bayesian phase estimation, and harmonic inversion. We have tested these methods in the context of the potential inversion problem of time-dependent density functional theory. Our test results suggest that direct measurement is the preferable method. We also highlight areas where the other two methods may be useful and report on tests using Rigetti's quantum virtual device. This study provides a starting point for imminent applications of quantum computing. |
topic |
quantum measurement TDDFT Bayesian inference harmonic inversion potential inversion |
url |
https://www.frontiersin.org/articles/10.3389/fphy.2021.546538/full |
work_keys_str_mv |
AT junyang acomparisonofthreewaystomeasuretimedependentdensitieswithquantumsimulators AT jamesbrown acomparisonofthreewaystomeasuretimedependentdensitieswithquantumsimulators AT jamesdanielwhitfield acomparisonofthreewaystomeasuretimedependentdensitieswithquantumsimulators AT junyang comparisonofthreewaystomeasuretimedependentdensitieswithquantumsimulators AT jamesbrown comparisonofthreewaystomeasuretimedependentdensitieswithquantumsimulators AT jamesdanielwhitfield comparisonofthreewaystomeasuretimedependentdensitieswithquantumsimulators |
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1724214569676570624 |