Challenges and perspectives in the modeling of spin qubits

Niquet, Yann-Michel; Hutin, Louis; Diaz, Bernard M.; Venitucci, Benjamin; Li, J.; Michal, V. P.; Fernandez-Bada, G. Troncoso; Jacquinot, H.; Amisse, A.; Aprá, A.; Ezzouch, R.; Piot, N.; Yu, Chao; Zihlmann, Simon; Brun-Barrière, Boris; Schmitt, Vivien; Dumur, Étienne; Maurand, Romain; Jehl, X.; Sanquer, M.; Bertrand, Benoît; Rambal, N.; Niebojewski, Heimanu; Bédécarrats, Thomas; Cassé, M.; Catapano, E.; Mortemousque, Pierre-André; Thomas, Candice; Thonnart, Yvain; Billiot, G.; Morel, Adrien; Charbonnier, Jean; Pallegoix, L.; Niegemann, David J.; Klemt, Bernhard; Urdampilleta, Matias; Homsy, V. El; Nurizzo, M.; Chanrion, Emmanuel; Jadot, Baptiste; Spence, Cameron; Thiney, Vivien; Paz, Bruna Cardoso; Franceschi, S. De; Vinet, M.; Meunier, Tristan

doi:10.1109/iedm13553.2020.9371962

Cited by 5 publications

(2 citation statements)

References 10 publications

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“…However, there are significant challenges in the development of such a Quantum Computer‐Aided Design (QCAD) framework. [ 232 ] The k·p method, commonly used to describe the single‐electron/hole properties of QDs, cannot describe the valley splitting and SOC associated with atomic‐level features. Its accuracy is also subject to question, with higher‐order corrections to the Luttinger Hamiltonian potentially revealing new sweet spots for hole spin dephasing.…”

Section: Discussionmentioning

confidence: 99%

Progress of Gate‐Defined Semiconductor Spin Qubit: Host Materials and Device Geometries

Liu,

Guan,

Luo

et al. 2024

Adv Funct Materials

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Quantum computing offers the potential to revolutionize information processing by exploiting the principles of quantum mechanics. Among the diverse quantum bit (qubit) technologies, silicon‐based semiconductor spin qubits have emerged as a promising contender due to their potential scalability and compatibility with existing semiconductor technologies. In this paper, the latest developments of spin qubits in gate‐defined semiconducting nanostructures made of silicon and germanium, starting from the basic properties of electron and hole states in group‐IV semiconductors, are reviewed. Specifically, various nanostructures that exploit their unique microscopic properties for qubit implementations, elaborating on the advances and challenges in experiments, are discussed. Strategies for enhancing qubit performance, such as designing new nanostructures and identifying suitable operating points, particularly those involving the valleys of electron qubits and the heavy‐hole–light‐hole mixing of hole qubits, are also highlighted. This comprehensive review thus provides valuable insights into the current state‐of‐the‐art in semiconductor quantum computing and suggests avenues for future research.

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Section: Discussionmentioning

confidence: 99%

Progress of Gate‐Defined Semiconductor Spin Qubit: Host Materials and Device Geometries

Liu,

Guan,

Luo

et al. 2024

Adv Funct Materials

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“…Niquet et al discussed the challenges and perspectives in modeling spin qubits [213]. In particular, the authors make the case for establishing quantum computer-aided design as the key required simulation-based toolchain which will enable the success of solid-state based quantum information processing platforms.…”

Section: Quantum Dots and Spin Qubitsmentioning

confidence: 99%

Computational perspective on recent advances in quantum electronics: from electron quantum optics to nanoelectronic devices and systems

Weinbub

Kosik

2022

J. Phys.: Condens. Matter

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Quantum electronics has significantly evolved over the last decades. Where initially the clear focus was on light-matter interactions, nowadays approaches based on the electron's wave nature have solidified themselves as additional focus areas. This development is largely driven by continuous advances in electron quantum optics, electron based quantum information processing, electronic materials, and nanoelectronic devices and systems. The pace of research in all of these areas is astonishing and is accompanied by substantial theoretical and experimental advancements. What is particularly exciting is the fact that the computational methods, together with broadly available large-scale computing resources, have matured to such a degree so as to be essential enabling technologies themselves. These methods allow to predict, analyze, and design not only individual physical processes but also entire devices and systems, which would otherwise be very challenging or sometimes even out of reach with conventional experimental capabilities. This review is thus a testament to the increasingly towering importance of computational methods for advancing the expanding field of quantum electronics. To that end, computational aspects of a representative selection of recent research in quantum electronics are highlighted where a major focus is on the electron's wave nature. By categorizing the research into concrete technological applications, researchers and engineers will be able to use this review as a source for inspiration regarding problem-specific computational methods.

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Material and integration challenges for large scale Si quantum computing

Vinet

Bédécarrats

Paz³

et al. 2021

2021 IEEE International Electron Devices Meeting (IEDM)

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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Challenges and perspectives in the modeling of spin qubits

Cited by 5 publications

References 10 publications

Progress of Gate‐Defined Semiconductor Spin Qubit: Host Materials and Device Geometries

Progress of Gate‐Defined Semiconductor Spin Qubit: Host Materials and Device Geometries

Computational perspective on recent advances in quantum electronics: from electron quantum optics to nanoelectronic devices and systems

Material and integration challenges for large scale Si quantum computing

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