Bayesian quantum noise spectroscopy

Quantum computers promise a considerable speedup over classical computers in solving various classes of problems by exploiting the properties of superposition. Today, the prospects of quantum computers are more promising than ever before, but there are still major challenges ahead. The realisation o...

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Main Author: Koh, Zhi Yang
Other Authors: Koh Teck Seng
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/148507
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author Koh, Zhi Yang
author2 Koh Teck Seng
author_facet Koh Teck Seng
Koh, Zhi Yang
author_sort Koh, Zhi Yang
collection NTU
description Quantum computers promise a considerable speedup over classical computers in solving various classes of problems by exploiting the properties of superposition. Today, the prospects of quantum computers are more promising than ever before, but there are still major challenges ahead. The realisation of quantum computers is plagued by the sensitivity of quantum systems to unwanted perturbations. This indicates the importance of qubits noise characterisation and mitigation protocols. We will start by discussing and quantifying mitigation, specifically the CPMG dynamical decoupling sequence. We find that the ubiquitous 1/f dephasing noise contributes a Gaussian decay in a qubit’s fidelity. Under a CPMG-n sequence, the qubits has a characteristic decay time of T_phi ∝ n^0.566. We then demonstrate noise spectroscopy using Bayesian inference and frequentist methods. We find that the Bayesian results offer more insight into the quantities that we are estimating by directly giving us the probability density function of those quantities. We can also obtain the frequentist results by taking the maximum a posteriori probability (MAP) estimates of the Bayesian results. We end by showing how Bayesian inference can be used to compare two models used to describe the same physical phenomenon.
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spelling ntu-10356/1485072023-02-28T23:18:49Z Bayesian quantum noise spectroscopy Koh, Zhi Yang Koh Teck Seng School of Physical and Mathematical Sciences kohteckseng@ntu.edu.sg Science::Physics Quantum computers promise a considerable speedup over classical computers in solving various classes of problems by exploiting the properties of superposition. Today, the prospects of quantum computers are more promising than ever before, but there are still major challenges ahead. The realisation of quantum computers is plagued by the sensitivity of quantum systems to unwanted perturbations. This indicates the importance of qubits noise characterisation and mitigation protocols. We will start by discussing and quantifying mitigation, specifically the CPMG dynamical decoupling sequence. We find that the ubiquitous 1/f dephasing noise contributes a Gaussian decay in a qubit’s fidelity. Under a CPMG-n sequence, the qubits has a characteristic decay time of T_phi ∝ n^0.566. We then demonstrate noise spectroscopy using Bayesian inference and frequentist methods. We find that the Bayesian results offer more insight into the quantities that we are estimating by directly giving us the probability density function of those quantities. We can also obtain the frequentist results by taking the maximum a posteriori probability (MAP) estimates of the Bayesian results. We end by showing how Bayesian inference can be used to compare two models used to describe the same physical phenomenon. Bachelor of Science in Physics 2021-04-28T05:19:41Z 2021-04-28T05:19:41Z 2021 Final Year Project (FYP) Koh, Z. Y. (2021). Bayesian quantum noise spectroscopy. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/148507 https://hdl.handle.net/10356/148507 en application/pdf Nanyang Technological University
spellingShingle Science::Physics
Koh, Zhi Yang
Bayesian quantum noise spectroscopy
title Bayesian quantum noise spectroscopy
title_full Bayesian quantum noise spectroscopy
title_fullStr Bayesian quantum noise spectroscopy
title_full_unstemmed Bayesian quantum noise spectroscopy
title_short Bayesian quantum noise spectroscopy
title_sort bayesian quantum noise spectroscopy
topic Science::Physics
url https://hdl.handle.net/10356/148507
work_keys_str_mv AT kohzhiyang bayesianquantumnoisespectroscopy