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ORCIDPatrick J. Coles
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2020 – today
- 2024
[j15]Samson Wang
, Piotr Czarnik, Andrew Arrasmith, Marco Cerezo, Lukasz Cincio, Patrick J. Coles:
Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms? Quantum 8: 1287 (2024)- [i39]Maxwell Aifer, Denis Melanson, Kaelan Donatella, Gavin E. Crooks, Thomas Ahle, Patrick J. Coles:
Error Mitigation for Thermodynamic Computing. CoRR abs/2401.16231 (2024) - [i38]Martin Larocca, Supanut Thanasilp, Samson Wang, Kunal Sharma, Jacob D. Biamonte, Patrick J. Coles, Lukasz Cincio, Jarrod R. McClean, Zoë Holmes, Marco Cerezo:
A Review of Barren Plateaus in Variational Quantum Computing. CoRR abs/2405.00781 (2024) - [i37]Kaelan Donatella, Samuel Duffield, Maxwell Aifer, Denis Melanson, Gavin E. Crooks, Patrick J. Coles:
Thermodynamic Natural Gradient Descent. CoRR abs/2405.13817 (2024) - 2023
- [j14]Martin Larocca, Nathan Ju, Diego García-Martín, Patrick J. Coles, Marco Cerezo:
Theory of overparametrization in quantum neural networks. Nat. Comput. Sci. 3(6): 542-551 (2023) - [j13]Supanut Thanasilp, Samson Wang, Nhat A. Nghiem, Patrick J. Coles, Marco Cerezo:
Subtleties in the trainability of quantum machine learning models. Quantum Mach. Intell. 5(1): 1-22 (2023) - [j12]M. Bilkis, Marco Cerezo, Guillaume Verdon, Patrick J. Coles, Lukasz Cincio:
A semi-agnostic ansatz with variable structure for variational quantum algorithms. Quantum Mach. Intell. 5(2): 43 (2023) - [j11]Daniel Bultrini, Max Hunter Gordon, Piotr Czarnik, Andrew Arrasmith, Marco Cerezo, Patrick J. Coles, Lukasz Cincio:
Unifying and benchmarking state-of-the-art quantum error mitigation techniques. Quantum 7: 1034 (2023) - [j10]Daniel Bultrini, Samson Wang, Piotr Czarnik, Max Hunter Gordon, Marco Cerezo, Patrick J. Coles, Lukasz Cincio:
The battle of clean and dirty qubits in the era of partial error correction. Quantum 7: 1060 (2023) - [j9]Carlos Bravo-Prieto, Ryan Larose, Marco Cerezo, Yigit Subasi, Lukasz Cincio, Patrick J. Coles:
Variational Quantum Linear Solver. Quantum 7: 1188 (2023) - [c1]Patrick J. Coles, Collin Szczepanski, Denis Melanson, Kaelan Donatella, Antonio J. Martinez, Faris M. Sbahi:
Thermodynamic AI and the Fluctuation Frontier. ICRC 2023: 1-10 - [i36]Patrick J. Coles:
Thermodynamic AI and the fluctuation frontier. CoRR abs/2302.06584 (2023) - [i35]Marco Cerezo, Guillaume Verdon, Hsin-Yuan Huang, Lukasz Cincio, Patrick J. Coles:
Challenges and Opportunities in Quantum Machine Learning. CoRR abs/2303.09491 (2023) - [i34]Sofiène Jerbi, Joe Gibbs, Manuel S. Rudolph, Matthias C. Caro, Patrick J. Coles, Hsin-Yuan Huang, Zoë Holmes:
The power and limitations of learning quantum dynamics incoherently. CoRR abs/2303.12834 (2023) - [i33]Maxwell Aifer, Kaelan Donatella, Max Hunter Gordon, Thomas Ahle, Daniel Simpson, Gavin E. Crooks, Patrick J. Coles:
Thermodynamic Linear Algebra. CoRR abs/2308.05660 (2023) - [i32]Samuel Duffield, Maxwell Aifer, Gavin E. Crooks, Thomas Ahle, Patrick J. Coles:
Thermodynamic Matrix Exponentials and Thermodynamic Parallelism. CoRR abs/2311.12759 (2023) - [i31]Denis Melanson, Mohammad Abu Khater, Maxwell Aifer, Kaelan Donatella, Max Hunter Gordon, Thomas Ahle, Gavin E. Crooks, Antonio J. Martinez, Faris M. Sbahi, Patrick J. Coles:
Thermodynamic Computing System for AI Applications. CoRR abs/2312.04836 (2023) - 2022
- [j8]Marco Cerezo, Guillaume Verdon, Hsin-Yuan Huang, Lukasz Cincio, Patrick J. Coles:
Challenges and opportunities in quantum machine learning. Nat. Comput. Sci. 2(9): 567-576 (2022) - [j7]Enrico Fontana, Marco Cerezo, Andrew Arrasmith, Ivan Rungger, Patrick J. Coles:
Non-trivial symmetries in quantum landscapes and their resilience to quantum noise. Quantum 6: 804 (2022) - [j6]Martin Larocca, Piotr Czarnik, Kunal Sharma, Gopikrishnan Muraleedharan, Patrick J. Coles, Marco Cerezo:
Diagnosing Barren Plateaus with Tools from Quantum Optimal Control. Quantum 6: 824 (2022) - [i30]Nic Ezzell, Zoë Holmes, Patrick J. Coles:
The quantum low-rank approximation problem. CoRR abs/2203.00811 (2022) - [i29]Max Hunter Gordon, Marco Cerezo, Lukasz Cincio, Patrick J. Coles:
Covariance matrix preparation for quantum principal component analysis. CoRR abs/2204.03495 (2022) - [i28]Matthias C. Caro, Hsin-Yuan Huang, Nicholas Ezzell, Joe Gibbs, Andrew T. Sornborger, Lukasz Cincio, Patrick J. Coles, Zoë Holmes:
Out-of-distribution generalization for learning quantum dynamics. CoRR abs/2204.10268 (2022) - [i27]Joe Gibbs, Zoë Holmes, Matthias C. Caro, Nicholas Ezzell, Hsin-Yuan Huang, Lukasz Cincio, Andrew T. Sornborger, Patrick J. Coles:
Dynamical simulation via quantum machine learning with provable generalization. CoRR abs/2204.10269 (2022) - [i26]Martin Larocca, Frederic Sauvage, Faris M. Sbahi, Guillaume Verdon, Patrick J. Coles, Marco Cerezo:
Group-Invariant Quantum Machine Learning. CoRR abs/2205.02261 (2022) - [i25]Cinthia Huerta Alderete, Max Hunter Gordon, Frederic Sauvage, Akira Sone, Andrew T. Sornborger, Patrick J. Coles, Marco Cerezo:
Inference-Based Quantum Sensing. CoRR abs/2206.09919 (2022) - [i24]Andi Gu, Lukasz Cincio, Patrick J. Coles:
Practical Black Box Hamiltonian Learning. CoRR abs/2206.15464 (2022) - [i23]Michael Ragone, Paolo Braccia, Quynh T. Nguyen, Louis Schatzki, Patrick J. Coles, Frederic Sauvage, Martin Larocca, Marco Cerezo:
Representation Theory for Geometric Quantum Machine Learning. CoRR abs/2210.07980 (2022) - [i22]Quynh T. Nguyen, Louis Schatzki, Paolo Braccia, Michael Ragone, Patrick J. Coles, Frederic Sauvage, Martin Larocca, Marco Cerezo:
Theory for Equivariant Quantum Neural Networks. CoRR abs/2210.08566 (2022) - [i21]Charles Moussa, Max Hunter Gordon, Michal Baczyk, Marco Cerezo, Lukasz Cincio, Patrick J. Coles:
Resource frugal optimizer for quantum machine learning. CoRR abs/2211.04965 (2022) - 2021
- [j5]Patrick J. Coles:
Seeking quantum advantage for neural networks. Nat. Comput. Sci. 1(6): 389-390 (2021) - [j4]Andrew Arrasmith, Marco Cerezo, Piotr Czarnik, Lukasz Cincio, Patrick J. Coles:
Effect of barren plateaus on gradient-free optimization. Quantum 5: 558 (2021) - [j3]Piotr Czarnik, Andrew Arrasmith, Patrick J. Coles, Lukasz Cincio:
Error mitigation with Clifford quantum-circuit data. Quantum 5: 592 (2021) - [i20]Zoë Holmes, Kunal Sharma, Marco Cerezo, Patrick J. Coles:
Connecting ansatz expressibility to gradient magnitudes and barren plateaus. CoRR abs/2101.02138 (2021) - [i19]Joe Gibbs, Kaitlin Gili, Zoë Holmes, Benjamin Commeau, Andrew Arrasmith, Lukasz Cincio, Patrick J. Coles, Andrew T. Sornborger:
Long-time simulations with high fidelity on quantum hardware. CoRR abs/2102.04313 (2021) - [i18]M. Bilkis, Marco Cerezo, Guillaume Verdon, Patrick J. Coles, Lukasz Cincio:
A semi-agnostic ansatz with variable structure for quantum machine learning. CoRR abs/2103.06712 (2021) - [i17]Andrew Arrasmith, Zoë Holmes, Marco Cerezo, Patrick J. Coles:
Equivalence of quantum barren plateaus to cost concentration and narrow gorges. CoRR abs/2104.05868 (2021) - [i16]Andi Gu, Angus Lowe, Pavel A. Dub, Patrick J. Coles, Andrew Arrasmith:
Adaptive shot allocation for fast convergence in variational quantum algorithms. CoRR abs/2108.10434 (2021) - [i15]Samson Wang, Piotr Czarnik, Andrew Arrasmith, Marco Cerezo, Lukasz Cincio, Patrick J. Coles:
Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms? CoRR abs/2109.01051 (2021) - [i14]Louis Schatzki, Andrew Arrasmith, Patrick J. Coles, Marco Cerezo:
Entangled Datasets for Quantum Machine Learning. CoRR abs/2109.03400 (2021) - [i13]Martin Larocca, Nathan Ju, Diego García-Martín, Patrick J. Coles, Marco Cerezo:
Theory of overparametrization in quantum neural networks. CoRR abs/2109.11676 (2021) - [i12]Supanut Thanasilp, Samson Wang, Nhat A. Nghiem, Patrick J. Coles, Marco Cerezo:
Subtleties in the trainability of quantum machine learning models. CoRR abs/2110.14753 (2021) - [i11]Matthias C. Caro, Hsin-Yuan Huang, Marco Cerezo, Kunal Sharma, Andrew T. Sornborger, Lukasz Cincio, Patrick J. Coles:
Generalization in quantum machine learning from few training data. CoRR abs/2111.05292 (2021) - [i10]Dhrumil Patel, Patrick J. Coles, Mark M. Wilde:
Variational Quantum Algorithms for Semidefinite Programming. CoRR abs/2112.08859 (2021) - 2020
- [j2]Marco Cerezo, Alexander Poremba, Lukasz Cincio, Patrick J. Coles:
Variational Quantum Fidelity Estimation. Quantum 4: 248 (2020) - [j1]Jonas M. Kübler, Andrew Arrasmith, Lukasz Cincio, Patrick J. Coles:
An Adaptive Optimizer for Measurement-Frugal Variational Algorithms. Quantum 4: 263 (2020) - [i9]Marco Cerezo, Akira Sone, Tyler Volkoff, Lukasz Cincio, Patrick J. Coles:
Cost-Function-Dependent Barren Plateaus in Shallow Quantum Neural Networks. CoRR abs/2001.00550 (2020) - [i8]Kunal Sharma, Marco Cerezo, Lukasz Cincio, Patrick J. Coles:
Trainability of Dissipative Perceptron-Based Quantum Neural Networks. CoRR abs/2005.12458 (2020) - [i7]Kunal Sharma, Marco Cerezo, Zoë Holmes, Lukasz Cincio, Andrew T. Sornborger, Patrick J. Coles:
Reformulation of the No-Free-Lunch Theorem for Entangled Data Sets. CoRR abs/2007.04900 (2020) - [i6]Samson Wang, Enrico Fontana, Marco Cerezo, Kunal Sharma, Akira Sone, Lukasz Cincio, Patrick J. Coles:
Noise-Induced Barren Plateaus in Variational Quantum Algorithms. CoRR abs/2007.14384 (2020) - [i5]Arthur Pesah, Marco Cerezo, Samson Wang, Tyler Volkoff, Andrew T. Sornborger, Patrick J. Coles:
Absence of Barren Plateaus in Quantum Convolutional Neural Networks. CoRR abs/2011.02966 (2020) - [i4]Enrico Fontana, Marco Cerezo, Andrew Arrasmith, Ivan Rungger, Patrick J. Coles:
Optimizing parametrized quantum circuits via noise-induced breaking of symmetries. CoRR abs/2011.08763 (2020) - [i3]Andrew Arrasmith, Marco Cerezo, Piotr Czarnik, Lukasz Cincio, Patrick J. Coles:
Effect of barren plateaus on gradient-free optimization. CoRR abs/2011.12245 (2020) - [i2]Marco Cerezo, Andrew Arrasmith, Ryan Babbush, Simon C. Benjamin, Suguru Endo, Keisuke Fujii, Jarrod R. McClean, Kosuke Mitarai, Xiao Yuan, Lukasz Cincio, Patrick J. Coles:
Variational Quantum Algorithms. CoRR abs/2012.09265 (2020)
2010 – 2019
- 2018
- [i1]Patrick J. Coles, Stephan J. Eidenbenz, Scott Pakin, Adetokunbo Adedoyin, John Ambrosiano, Petr M. Anisimov, William Casper, Gopinath Chennupati, Carleton Coffrin, Hristo N. Djidjev, David Gunter, Satish Karra, Nathan Lemons, Shizeng Lin, Andrey Y. Lokhov, Alexander Malyzhenkov, David Dennis Lee Mascarenas, Susan M. Mniszewski, Balu Nadiga, Dan O'Malley, Diane Oyen, Lakshman Prasad, Randy Roberts, Philip Romero, Nandakishore Santhi, Nikolai Sinitsyn, Pieter Swart, Marc Vuffray, Jim Wendelberger, Boram Yoon, Richard J. Zamora, Wei Zhu:
Quantum Algorithm Implementations for Beginners. CoRR abs/1804.03719 (2018)
Coauthor Index
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last updated on 2024-06-25 21:49 CEST by the dblp team
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