Open hardware solutions in quantum technology

Autor: Nathan Shammah, Anurag Saha Roy, Carmen G. Almudever, Sébastien Bourdeauducq, Anastasiia Butko, Gustavo Cancelo, Susan M. Clark, Johannes Heinsoo, Loïc Henriet, Gang Huang, Christophe Jurczak, Janne Kotilahti, Alessandro Landra, Ryan LaRose, Andrea Mari, Kasra Nowrouzi, Caspar Ockeloen-Korppi, Guen Prawiroatmodjo, Irfan Siddiqi, William J. Zeng

Publikováno v: APL Quantum, Vol 1, Iss 1, Pp 011501-011501-17 (2024)

Quantum technologies, such as communication, computing, and sensing, offer vast opportunities for advanced research and development. While an open-source ethos currently exists within some quantum technologies, especially in quantum computer programm

Externí odkaz: https://doaj.org/article/a6ab7b8d79ea4aaea744f0498dda11f5

Deep Learning Segmentation of Complex Features in Atomic-Resolution Phase-Contrast Transmission Electron Microscopy Images

Autor: Colin Ophus, Robbie Sadre, Gunther H. Weber, Anastasiia Butko

Publikováno v: Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada, vol 27, iss 4

Phase contrast transmission electron microscopy (TEM) is a powerful tool for imaging the local atomic structure of materials. TEM has been used heavily in studies of defect structures of 2D materials such as monolayer graphene due to its high dose ef

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eefdc6aaa05ca0f6012d7bdc9d847463
https://escholarship.org/uc/item/75k71756

Towards Automated Superconducting Circuit Calibration using Deep Reinforcement Learning

Autor: Meriam Gay Bautista, Zhi Jackie Yao, Anastasiia Butko, Mariam Kiran, Mekena Metcalf

Publikováno v: ISVLSI

This paper presents an innovative way of quantum circuit optimization; we propose an automated superconducting circuit calibration using deep reinforcement learning (ASCC-DRL). A simplified model of a transmon qubit coupled to a cavity resonator is u

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb48f146120b3bfc85a8b2bb02977529
https://doi.org/10.1109/isvlsi51109.2021.00091

Understanding Quantum Control Processor Capabilities and Limitations through Circuit Characterization

Autor: David Donofrio, Samuel Williams, John Shalf, Jonathan Carter, George Michelogiannakis, Costin Iancu, Anastasiia Butko, Irfan Siddiqi

Publikováno v: ICRC

Continuing the scaling of quantum computers hinges on building classical control hardware pipelines that are scalable, extensible, and provide real time response. The instruction set architecture (ISA) of the control processor provides functional abs

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6124d3ceb9fa0adfb9374412892e5c9b
https://escholarship.org/uc/item/8m20k6v5

Exploiting memory allocations in clusterized many-core architectures

Autor: Rafael Garibotti, Ricardo Reis, Gilles Sassatelli, Luciano Ost, Abdoulaye Gamatié, Anastasiia Butko

Publikováno v: IET Computers & Digital Techniques
IET Computers & Digital Techniques, Institution of Engineering and Technology, 2019, 13 (4), pp.302-311. ⟨10.1049/iet-cdt.2018.5136⟩

International audience; Power-efficient architectures have become the most important feature required for future embedded systems. Modern designs, like those released on mobile devices, reveal that clusterization is the way to improve energy efficien

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5179b61065dd8394ede5a6d2056cfd5
https://hal-lirmm.ccsd.cnrs.fr/lirmm-02100269