Open AccessDOI
Qiskit: An Open-source Framework for Quantum Computing
Gadi Aleksandrowicz,Thomas Alexander,Panagiotis Kl. Barkoutsos,Luciano Bello,Yael Ben-Haim,David Bucher,Francisco Jose Cabrera-Hernández,Jorge Carballo-Franquis,Adrian Chen,Chun-Fu Chen,Jerry M. Chow,Antonio D. Córcoles-Gonzales,Abigail J. Cross,Andrew W. Cross,Juan Cruz-Benito,Chris Culver,Salvador De La Puente González,Enrique De La Torre,Delton Ding,Eugene F. Dumitrescu,Ivan Duran,Pieter T. Eendebak,Mark Everitt,Ismael Faro Sertage,Albert Frisch,Andreas Fuhrer,Jay M. Gambetta,Borja Godoy Gago,Juan Gomez-Mosquera,Donny Greenberg,Ikko Hamamura,Vojtech Havlicek,Joe Hellmers,Łukasz Herok,Hiroshi Horii,Shaohan Hu,Takashi Imamichi,Toshinari Itoko,Ali Javadi-Abhari,Naoki Kanazawa,Anton Karazeev,Kevin Krsulich,Peng Liu,Yang Luh,Yunho Maeng,Manoel Marques,Francisco Martín-Fernández,Douglas McClure,David McKay,Srujan Meesala,Antonio Mezzacapo,Nikolaj Moll,Diego Moreda Rodríguez,Giacomo Nannicini,P. D. Nation,Pauline J. Ollitrault,Lee James O'Riordan,Hanhee Paik,Jesús Pérez,Anna Phan,Marco Pistoia,Viktor Prutyanov,Max Reuter,Julia E. Rice,Abdón Rodríguez Davila,Raymond Harry Rudy,Mingi Ryu,Ninad Sathaye,Chris Schnabel,Eddie Schoute,Kanav Setia,Yunong Shi,Adenilton Silva,Yukio Siraichi,Seyon Sivarajah,John A. Smolin,Mathias Soeken,Hitomi Takahashi,Ivano Tavernelli,Charles Taylor,Pete Taylour,Kenso Trabing,Matthew Treinish,Wes Turner,Desiree Vogt-Lee,Christophe Vuillot,Jonathan A. Wildstrom,Jessica Wilson,Erick Winston,Christopher J. Wood,Stephen P. Wood,Stefan Wörner,Ismail Yunus Akhalwaya,Christa Zoufal +93 more
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The article was published on 2019-01-23 and is currently open access. It has received 574 citations till now. The article focuses on the topics: Quantum computer.read more
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Journal ArticleDOI
Parameterized quantum circuits as machine learning models
TL;DR: In this paper, the authors present the components of these models and discuss their application to a variety of data-driven tasks, such as supervised learning and generative modeling, as well as their application in machine learning applications.
Journal ArticleDOI
Parameterized quantum circuits as machine learning models
TL;DR: This Review presents components of parameterized quantum circuits and discusses their application to a variety of data-driven tasks such as supervised learning and generative modeling.
Journal ArticleDOI
Quantum Generative Adversarial Networks for Learning and Loading Random Distributions
TL;DR: This work uses quantum Generative Adversarial Networks (qGANs) to facilitate efficient learning and loading of generic probability distributions - implicitly given by data samples - into quantum states and can enable the use of potentially advantageous quantum algorithms, such as Quantum Amplitude Estimation.
Journal ArticleDOI
Simulating quantum many-body dynamics on a current digital quantum computer
TL;DR: In this article, state-of-the-art IBM quantum computers are used to simulate the effects of disorder and interactions on quantum particle transport, as well as correlation and entanglement spreading.
Journal ArticleDOI
Efficient learning of quantum noise
TL;DR: In this article, the authors describe a protocol for the reliable, efficient and precise characterization of quantum noise in an architecture consisting of 14 superconducting qubits, and report its experimental implementation on a 14-qubit quantum architecture.
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