QArray: a GPU-accelerated constant capacitance model simulator for large quantum dot arrays
Fuente:
arXiv
Guardado en:
| Autores principales: | , , , , , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866909861702270976 |
|---|---|
| author | van Straaten, Barnaby Hickie, Joseph Schorling, Lucas Schuff, Jonas Fedele, Federico Ares, Natalia |
| author_facet | van Straaten, Barnaby Hickie, Joseph Schorling, Lucas Schuff, Jonas Fedele, Federico Ares, Natalia |
| contents | Semiconductor quantum dot arrays are a leading architecture for the development of quantum technologies. Over the years, the constant capacitance model has served as a fundamental framework for simulating, understanding, and navigating the charge stability diagrams of small quantum dot arrays. However, while the size of the arrays keeps growing, solving the constant capacitance model becomes computationally prohibitive. This paper presents an open-source software package able to compute a $100 \times 100$ pixels charge stability diagram of a 16-dot array in less than a second. Smaller arrays can be simulated in milliseconds - faster than they could be measured experimentally, enabling the creation of diverse datasets for training machine learning models and the creation of digital twins that can interface with quantum dot devices in real-time. Our software package implements its core functionalities in the systems programming language Rust and the high-performance numerical computing library JAX. The Rust implementation benefits from advanced optimisations and parallelisation, enabling the users to take full advantage of multi-core processors. The JAX implementation allows for GPU acceleration. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_04994 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | QArray: a GPU-accelerated constant capacitance model simulator for large quantum dot arrays van Straaten, Barnaby Hickie, Joseph Schorling, Lucas Schuff, Jonas Fedele, Federico Ares, Natalia Mesoscale and Nanoscale Physics Computational Physics Semiconductor quantum dot arrays are a leading architecture for the development of quantum technologies. Over the years, the constant capacitance model has served as a fundamental framework for simulating, understanding, and navigating the charge stability diagrams of small quantum dot arrays. However, while the size of the arrays keeps growing, solving the constant capacitance model becomes computationally prohibitive. This paper presents an open-source software package able to compute a $100 \times 100$ pixels charge stability diagram of a 16-dot array in less than a second. Smaller arrays can be simulated in milliseconds - faster than they could be measured experimentally, enabling the creation of diverse datasets for training machine learning models and the creation of digital twins that can interface with quantum dot devices in real-time. Our software package implements its core functionalities in the systems programming language Rust and the high-performance numerical computing library JAX. The Rust implementation benefits from advanced optimisations and parallelisation, enabling the users to take full advantage of multi-core processors. The JAX implementation allows for GPU acceleration. |
| title | QArray: a GPU-accelerated constant capacitance model simulator for large quantum dot arrays |
| topic | Mesoscale and Nanoscale Physics Computational Physics |
| url | https://arxiv.org/abs/2404.04994 |