SchWARMA: A model-based approach for time-correlated noise in quantum circuits

Temporal noise correlations are ubiquitous in quantum systems, yet often neglected in the analysis of quantum circuits due to the complexity required to accurately characterize and model them. Autoregressive moving average (ARMA) models are a well-known technique from time series analysis that model...

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Main Authors: Kevin Schultz, Gregory Quiroz, Paraj Titum, B. D. Clader
Format: Article
Language:English
Published: American Physical Society 2021-09-01
Series:Physical Review Research
Online Access:http://doi.org/10.1103/PhysRevResearch.3.033229
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author Kevin Schultz
Gregory Quiroz
Paraj Titum
B. D. Clader
author_facet Kevin Schultz
Gregory Quiroz
Paraj Titum
B. D. Clader
author_sort Kevin Schultz
collection DOAJ
description Temporal noise correlations are ubiquitous in quantum systems, yet often neglected in the analysis of quantum circuits due to the complexity required to accurately characterize and model them. Autoregressive moving average (ARMA) models are a well-known technique from time series analysis that model time correlations in data. By identifying the space of completely positive trace preserving (CPTP) quantum operations with a particular matrix manifold, we generalize ARMA models to the space of CPTP maps to parametrize and simulate temporally correlated noise in quantum circuits. This approach, denoted Schrödinger wave ARMA (SchWARMA), provides a natural path for generalization of classic techniques from signal processing, control theory, and system identification for which ARMA models and linear systems are essential. This enables the broad theory of classical signal processing to be applied to quantum system simulation, characterization, and noise mitigation.
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spelling doaj.art-dbcb293c3f094833b1d28576cfa0708a2024-04-12T17:13:44ZengAmerican Physical SocietyPhysical Review Research2643-15642021-09-013303322910.1103/PhysRevResearch.3.033229SchWARMA: A model-based approach for time-correlated noise in quantum circuitsKevin SchultzGregory QuirozParaj TitumB. D. CladerTemporal noise correlations are ubiquitous in quantum systems, yet often neglected in the analysis of quantum circuits due to the complexity required to accurately characterize and model them. Autoregressive moving average (ARMA) models are a well-known technique from time series analysis that model time correlations in data. By identifying the space of completely positive trace preserving (CPTP) quantum operations with a particular matrix manifold, we generalize ARMA models to the space of CPTP maps to parametrize and simulate temporally correlated noise in quantum circuits. This approach, denoted Schrödinger wave ARMA (SchWARMA), provides a natural path for generalization of classic techniques from signal processing, control theory, and system identification for which ARMA models and linear systems are essential. This enables the broad theory of classical signal processing to be applied to quantum system simulation, characterization, and noise mitigation.http://doi.org/10.1103/PhysRevResearch.3.033229
spellingShingle Kevin Schultz
Gregory Quiroz
Paraj Titum
B. D. Clader
SchWARMA: A model-based approach for time-correlated noise in quantum circuits
Physical Review Research
title SchWARMA: A model-based approach for time-correlated noise in quantum circuits
title_full SchWARMA: A model-based approach for time-correlated noise in quantum circuits
title_fullStr SchWARMA: A model-based approach for time-correlated noise in quantum circuits
title_full_unstemmed SchWARMA: A model-based approach for time-correlated noise in quantum circuits
title_short SchWARMA: A model-based approach for time-correlated noise in quantum circuits
title_sort schwarma a model based approach for time correlated noise in quantum circuits
url http://doi.org/10.1103/PhysRevResearch.3.033229
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AT bdclader schwarmaamodelbasedapproachfortimecorrelatednoiseinquantumcircuits