Advances in Modeling of Noisy Quantum Computers: Spin Qubits in Semiconductor Quantum Dots

The new quantum era is expected to have an unprecedented social impact, enabling the research of tomorrow in several pivotal fields. These perspectives require a physical system able to encode, process and store for a sufficiently long amount of time the quantum information. However, the optimal eng...

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Main Authors: Davide Costa, Mario Simoni, Gianluca Piccinini, Mariagrazia Graziano
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10242110/
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author Davide Costa
Mario Simoni
Gianluca Piccinini
Mariagrazia Graziano
author_facet Davide Costa
Mario Simoni
Gianluca Piccinini
Mariagrazia Graziano
author_sort Davide Costa
collection DOAJ
description The new quantum era is expected to have an unprecedented social impact, enabling the research of tomorrow in several pivotal fields. These perspectives require a physical system able to encode, process and store for a sufficiently long amount of time the quantum information. However, the optimal engineering of currently available quantum computers, which are small and flawed by several non-ideal phenomena, requires an efficacious methodology for exploring the design space. Hence, there is an unmet need for the development of reliable hardware-aware simulation infrastructures able to efficiently emulate the behaviour of quantum hardware that commits to looking for innovative systematic ways, with a bottom-up approach starting from the physical level, moving to the device level and up to the system level. This article discusses the development of a classical simulation infrastructure for semiconductor quantum-dot quantum computation based on compact models, where each device is described in terms of the main physical parameters affecting its performance in a sufficiently easy way from a computational point of view for providing accurate results without involving sophisticated physical simulators, thus reducing the requirements on CPU and memory. The effectiveness of the involved approximations is tested on a benchmark of quantum circuits — in the expected operating ranges of quantum hardware — by comparing the corresponding outcomes with those obtained via numeric integration of the Schrödinger equation. The achieved results give evidence that this work is a step forward towards the definition of a classical simulator of quantum computers.
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spelling doaj.art-2fa3553ee8734b83a68e1a7b06a8ba992023-10-06T23:01:27ZengIEEEIEEE Access2169-35362023-01-0111988759891310.1109/ACCESS.2023.331255910242110Advances in Modeling of Noisy Quantum Computers: Spin Qubits in Semiconductor Quantum DotsDavide Costa0Mario Simoni1https://orcid.org/0000-0002-5702-2505Gianluca Piccinini2Mariagrazia Graziano3https://orcid.org/0000-0002-8721-9990QuTech and Kavli Institute of Nanoscience, Delft University of Technology, Delft, The NetherlandsDepartment of Electronics and Telecommunications, Politecnico di Torino, Torino, ItalyDepartment of Electronics and Telecommunications, Politecnico di Torino, Torino, ItalyDepartment of Applied Science and Technology, Politecnico di Torino, Torino, ItalyThe new quantum era is expected to have an unprecedented social impact, enabling the research of tomorrow in several pivotal fields. These perspectives require a physical system able to encode, process and store for a sufficiently long amount of time the quantum information. However, the optimal engineering of currently available quantum computers, which are small and flawed by several non-ideal phenomena, requires an efficacious methodology for exploring the design space. Hence, there is an unmet need for the development of reliable hardware-aware simulation infrastructures able to efficiently emulate the behaviour of quantum hardware that commits to looking for innovative systematic ways, with a bottom-up approach starting from the physical level, moving to the device level and up to the system level. This article discusses the development of a classical simulation infrastructure for semiconductor quantum-dot quantum computation based on compact models, where each device is described in terms of the main physical parameters affecting its performance in a sufficiently easy way from a computational point of view for providing accurate results without involving sophisticated physical simulators, thus reducing the requirements on CPU and memory. The effectiveness of the involved approximations is tested on a benchmark of quantum circuits — in the expected operating ranges of quantum hardware — by comparing the corresponding outcomes with those obtained via numeric integration of the Schrödinger equation. The achieved results give evidence that this work is a step forward towards the definition of a classical simulator of quantum computers.https://ieeexplore.ieee.org/document/10242110/ModelsNISQnoisenoisy intermediate scale quantum computersheterostructuresquantum computing
spellingShingle Davide Costa
Mario Simoni
Gianluca Piccinini
Mariagrazia Graziano
Advances in Modeling of Noisy Quantum Computers: Spin Qubits in Semiconductor Quantum Dots
IEEE Access
Models
NISQ
noise
noisy intermediate scale quantum computers
heterostructures
quantum computing
title Advances in Modeling of Noisy Quantum Computers: Spin Qubits in Semiconductor Quantum Dots
title_full Advances in Modeling of Noisy Quantum Computers: Spin Qubits in Semiconductor Quantum Dots
title_fullStr Advances in Modeling of Noisy Quantum Computers: Spin Qubits in Semiconductor Quantum Dots
title_full_unstemmed Advances in Modeling of Noisy Quantum Computers: Spin Qubits in Semiconductor Quantum Dots
title_short Advances in Modeling of Noisy Quantum Computers: Spin Qubits in Semiconductor Quantum Dots
title_sort advances in modeling of noisy quantum computers spin qubits in semiconductor quantum dots
topic Models
NISQ
noise
noisy intermediate scale quantum computers
heterostructures
quantum computing
url https://ieeexplore.ieee.org/document/10242110/
work_keys_str_mv AT davidecosta advancesinmodelingofnoisyquantumcomputersspinqubitsinsemiconductorquantumdots
AT mariosimoni advancesinmodelingofnoisyquantumcomputersspinqubitsinsemiconductorquantumdots
AT gianlucapiccinini advancesinmodelingofnoisyquantumcomputersspinqubitsinsemiconductorquantumdots
AT mariagraziagraziano advancesinmodelingofnoisyquantumcomputersspinqubitsinsemiconductorquantumdots