引用次数
引用: 13,132
H-指数: 55
I10-指数 : 95
出版物: 153
Higher order derivatives of quantum neural networks with barren plateaus
Patrick J Coles , Marco Cerezo
Quantum Science and Technology
72
2021
Sub-quantum Fisher information
Patrick J Coles , Akira Sone , Marco Cerezo , Jacob L Beckey
Quantum Science and Technology
5
2021
Entanglement spectroscopy with a depth-two quantum circuit
Yiğit Subaşı , Lukasz Cincio , Patrick J Coles
Journal of Physics A 52 ( 4) 044001
18
2019
Large gradients via correlation in random parameterized quantum circuits
Tyler Volkoff , Patrick J Coles
Quantum Science and Technology 6 ( 2) 025008
108
2021
Noise resilience of variational quantum compiling
Kunal Sharma , Sumeet Khatri , M Cerezo , Patrick J Coles
New Journal of Physics 22 ( 4) 043006
61
2020
Quantum preparation uncertainty and lack of information
Filip Rozpędek , Jędrzej Kaniewski , Patrick J Coles , Stephanie Wehner
New Journal of Physics 19 ( 2) 023038
12
2017
Sifting attacks in finite-size quantum key distribution
Corsin Pfister , Norbert Lütkenhaus , Stephanie Wehner , Patrick J Coles
New Journal of Physics 18 ( 5) 053001
15
2016
Diagnosing barren plateaus with tools from quantum optimal control
Martin Larocca , Piotr Czarnik , Kunal Sharma , Gopikrishnan Muraleedharan
Quantum 6 824
49
2022
Group-invariant quantum machine learning
Martín Larocca , Frédéric Sauvage , Faris M Sbahi , Guillaume Verdon
PRX Quantum 3 ( 3) 030341
30
2022
Theory for equivariant quantum neural networks
Quynh T Nguyen , Louis Schatzki , Paolo Braccia , Michael Ragone
arXiv preprint arXiv:2210.08566
11
2022
Challenges and opportunities in quantum machine learning
Marco Cerezo , Guillaume Verdon , Hsin-Yuan Huang , Lukasz Cincio
Nature Computational Science 2 ( 9) 567 -576
22
2022
Generalization in quantum machine learning from few training data
Matthias C Caro , Hsin-Yuan Huang , Marco Cerezo , Kunal Sharma
Nature communications 13 ( 1) 4919
50
2022
Thermodynamic AI and the fluctuation frontier
Patrick J Coles , Collin Szczepanski , Denis Melanson , Kaelan Donatella
arXiv preprint arXiv:2302.06584
2023
Adaptive shot allocation for fast convergence in variational quantum algorithms
Andi Gu , Angus Lowe , Pavel A Dub , Patrick J Coles
arXiv preprint arXiv:2108.10434
8
2021
Representation theory for geometric quantum machine learning
Michael Ragone , Paolo Braccia , Quynh T Nguyen , Louis Schatzki
arXiv preprint arXiv:2210.07980
9
2022
A review of barren plateaus in variational quantum computing
Martin Larocca , Supanut Thanasilp , Samson Wang , Kunal Sharma
arXiv preprint arXiv:2405.00781
4
2024
Non-trivial symmetries in quantum landscapes and their resilience to quantum noise
Enrico Fontana , M Cerezo , Andrew Arrasmith , Ivan Rungger
Quantum 6 804 -804
21
2022
Optimizing parametrized quantum circuits via noise-induced breaking of symmetries
Enrico Fontana , Marco Cerezo , Andrew Arrasmith , Ivan Rungger
arXiv preprint arXiv:2011.08763 55
19
2020
Quantum algorithm implementations for beginners
Adetokunbo Adedoyin , John Ambrosiano , Petr Anisimov , William Casper
arXiv preprint arXiv:1804.03719
148
2018
Thermodynamic Computing System for AI Applications
Denis Melanson , Mohammad Abu Khater , Maxwell Aifer , Kaelan Donatella
arXiv preprint arXiv:2312.04836
3
2023
Lukasz Cincio Marco Cerezo Andrew Arrasmith Andrew Sornborger Kunal Sharma Norbert Lutkenhaus Stephanie Wehner Yigit Subasi Ryan LaRose Mario Berta Sumeet Khatri Marco Piani Mohan Sarovar Michael Zwolak, Group Leader, Biophysical and Biomedical Measurement Marco Tomamichel Roger Colbeck Vlad Gheorghiu Mark M. Wilde Wojciech Zurek Rolando Somma