Patrick J. Coles

68 papers Journal 65Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Energy-Time-Accuracy Tradeoffs in Thermodynamic Computing. CoRR Alberto Rolandi, Paolo Abiuso, Patryk Lipka-Bartosik, Maxwell Aifer, Patrick J. Coles, Martí Perarnau-Llobet
2026	J	`jnl`	Robust Stochastic Gradient Posterior Sampling with Lattice Based Discretisation. CoRR Zier Mensch, Lars Holdijk, Samuel Duffield, Maxwell Aifer, Patrick J. Coles, Max Welling, Miranda C. N. Cheng
2025	J	`jnl`	Lattice Random Walk Discretisations of Stochastic Differential Equations. CoRR Samuel Duffield, Maxwell Aifer, Denis Melanson, Zach Belateche, Patrick J. Coles
2025	J	`jnl`	Scalable Thermodynamic Second-order Optimization. CoRR Kaelan Donatella, Samuel Duffield, Denis Melanson, Maxwell Aifer, Phoebe Klett, Rajath Salegame, Zach Belateche, Gavin E. Crooks, Antonio J. Martinez, Patrick J. Coles
2025	J	`jnl`	Solving the compute crisis with physics-based ASICs. CoRR Maxwell Aifer, Zach Belateche, Suraj Bramhavar, Kerem Yunus Çamsari, Patrick J. Coles, Gavin E. Crooks, Douglas J. Durian, Andrea J. Liu, Anastasia Marchenkova, Antonio J. Martinez, Peter L. McMahon, Faris M. Sbahi, Benjamin Weiner, Logan G. Wright
2024	J	`jnl`	A Review of Barren Plateaus in Variational Quantum Computing. CoRR Martin Larocca, Supanut Thanasilp, Samson Wang, Kunal Sharma, Jacob D. Biamonte, Patrick J. Coles, Lukasz Cincio, Jarrod R. McClean, Zoë Holmes, Marco Cerezo
2024	J	`jnl`	Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms? Quantum Samson Wang, Piotr Czarnik, Andrew Arrasmith, Marco Cerezo, Lukasz Cincio, Patrick J. Coles
2024	J	`jnl`	Error Mitigation for Thermodynamic Computing. CoRR Maxwell Aifer, Denis Melanson, Kaelan Donatella, Gavin E. Crooks, Thomas Ahle, Patrick J. Coles
2024	—	`conf`	Thermodynamic Algorithms for Quadratic Programming. ICRC Patryk Lipka-Bartosik, Kaelan Donatella, Maxwell Aifer, Denis Melanson, Martí Perarnau-Llobet, Nicolas Brunner, Patrick J. Coles
2024	J	`jnl`	Thermodynamic Algorithms for Quadratic Programming. CoRR Patryk Lipka-Bartosik, Kaelan Donatella, Maxwell Aifer, Denis Melanson, Martí Perarnau-Llobet, Nicolas Brunner, Patrick J. Coles
2024	—	`conf`	Thermodynamic Bayesian Inference. ICRC Maxwell Aifer, Samuel Duffield, Kaelan Donatella, Denis Melanson, Phoebe Klett, Zach Belateche, Gavin E. Crooks, Antonio J. Martinez, Patrick J. Coles
2024	J	`jnl`	Thermodynamic Bayesian Inference. CoRR Maxwell Aifer, Samuel Duffield, Kaelan Donatella, Denis Melanson, Phoebe Klett, Zach Belateche, Gavin E. Crooks, Antonio J. Martinez, Patrick J. Coles
2024	J	`jnl`	Thermodynamic Natural Gradient Descent. CoRR Kaelan Donatella, Samuel Duffield, Maxwell Aifer, Denis Melanson, Gavin E. Crooks, Patrick J. Coles
2024	J	`jnl`	Variational Quantum Algorithms for Semidefinite Programming. Quantum Dhrumil Patel, Patrick J. Coles, Mark M. Wilde
2023	J	`jnl`	A semi-agnostic ansatz with variable structure for variational quantum algorithms. Quantum Mach. Intell. Matías Bilkis, Marco Cerezo, Guillaume Verdon, Patrick J. Coles, Lukasz Cincio
2023	J	`jnl`	Challenges and Opportunities in Quantum Machine Learning. CoRR Marco Cerezo, Guillaume Verdon, Hsin-Yuan Huang, Lukasz Cincio, Patrick J. Coles
2023	J	`jnl`	Subtleties in the trainability of quantum machine learning models. Quantum Mach. Intell. Supanut Thanasilp, Samson Wang, Nhat A. Nghiem, Patrick J. Coles, Marco Cerezo
2023	J	`jnl`	The battle of clean and dirty qubits in the era of partial error correction. Quantum Daniel Bultrini, Samson Wang, Piotr Czarnik, Max Hunter Gordon, Marco Cerezo, Patrick J. Coles, Lukasz Cincio
2023	J	`jnl`	The power and limitations of learning quantum dynamics incoherently. CoRR Sofiène Jerbi, Joe Gibbs, Manuel S. Rudolph, Matthias C. Caro, Patrick J. Coles, Hsin-Yuan Huang, Zoë Holmes
2023	J	`jnl`	Theory of overparametrization in quantum neural networks. Nat. Comput. Sci. Martin Larocca, Nathan Ju, Diego García-Martín, Patrick J. Coles, Marco Cerezo
2023	—	`conf`	Thermodynamic AI and the Fluctuation Frontier. ICRC Patrick J. Coles, Collin Szczepanski, Denis Melanson, Kaelan Donatella, Antonio J. Martinez, Faris M. Sbahi
2023	J	`jnl`	Thermodynamic AI and the fluctuation frontier. CoRR Patrick J. Coles
2023	J	`jnl`	Thermodynamic Computing System for AI Applications. CoRR 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
2023	J	`jnl`	Thermodynamic Linear Algebra. CoRR Maxwell Aifer, Kaelan Donatella, Max Hunter Gordon, Thomas Ahle, Daniel Simpson, Gavin E. Crooks, Patrick J. Coles
2023	J	`jnl`	Thermodynamic Matrix Exponentials and Thermodynamic Parallelism. CoRR Samuel Duffield, Maxwell Aifer, Gavin E. Crooks, Thomas Ahle, Patrick J. Coles
2023	J	`jnl`	Unifying and benchmarking state-of-the-art quantum error mitigation techniques. Quantum Daniel Bultrini, Max Hunter Gordon, Piotr Czarnik, Andrew Arrasmith, Marco Cerezo, Patrick J. Coles, Lukasz Cincio
2023	J	`jnl`	Variational Quantum Linear Solver. Quantum Carlos Bravo-Prieto, Ryan LaRose, Marco Cerezo, Yigit Subasi, Lukasz Cincio, Patrick J. Coles
2022	J	`jnl`	Challenges and opportunities in quantum machine learning. Nat. Comput. Sci. Marco Cerezo, Guillaume Verdon, Hsin-Yuan Huang, Lukasz Cincio, Patrick J. Coles
2022	J	`jnl`	Covariance matrix preparation for quantum principal component analysis. CoRR Max Hunter Gordon, Marco Cerezo, Lukasz Cincio, Patrick J. Coles
2022	J	`jnl`	Diagnosing Barren Plateaus with Tools from Quantum Optimal Control. Quantum Martin Larocca, Piotr Czarnik, Kunal Sharma, Gopikrishnan Muraleedharan, Patrick J. Coles, Marco Cerezo
2022	J	`jnl`	Dynamical simulation via quantum machine learning with provable generalization. CoRR Joe Gibbs, Zoë Holmes, Matthias C. Caro, Nicholas Ezzell, Hsin-Yuan Huang, Lukasz Cincio, Andrew T. Sornborger, Patrick J. Coles
2022	J	`jnl`	Group-Invariant Quantum Machine Learning. CoRR Martin Larocca, Frederic Sauvage, Faris M. Sbahi, Guillaume Verdon, Patrick J. Coles, Marco Cerezo
2022	J	`jnl`	Inference-Based Quantum Sensing. CoRR Cinthia Huerta Alderete, Max Hunter Gordon, Frederic Sauvage, Akira Sone, Andrew T. Sornborger, Patrick J. Coles, Marco Cerezo
2022	J	`jnl`	Non-trivial symmetries in quantum landscapes and their resilience to quantum noise. Quantum Enrico Fontana, Marco Cerezo, Andrew Arrasmith, Ivan Rungger, Patrick J. Coles
2022	J	`jnl`	Out-of-distribution generalization for learning quantum dynamics. CoRR Matthias C. Caro, Hsin-Yuan Huang, Nicholas Ezzell, Joe Gibbs, Andrew T. Sornborger, Lukasz Cincio, Patrick J. Coles, Zoë Holmes
2022	J	`jnl`	Practical Black Box Hamiltonian Learning. CoRR Andi Gu, Lukasz Cincio, Patrick J. Coles
2022	J	`jnl`	Quantum Algorithm Implementations for Beginners. ACM Trans. Quantum Comput. Abhijith Jayakumar, Adetokunbo Adedoyin, John Ambrosiano, Petr M. Anisimov, William Casper, Gopinath Chennupati, Carleton Coffrin, Hristo N. Djidjev, David Gunter, Satish Karra, Nathan Lemons, Shizeng Lin, Alexander Malyzhenkov, David Mascarenas, Susan M. Mniszewski, Balu Nadiga, Daniel O'Malley, Diane Oyen, Scott Pakin, Lakshman Prasad, Randy Roberts, Phillip Romero, Nandakishore Santhi, Nikolai Sinitsyn, Pieter J. Swart, James G. Wendelberger, Boram Yoon, Richard J. Zamora, Wei Zhu, Stephan J. Eidenbenz, Andreas Bärtschi, Patrick J. Coles, Marc Vuffray, Andrey Y. Lokhov
2022	J	`jnl`	Representation Theory for Geometric Quantum Machine Learning. CoRR Michael Ragone, Paolo Braccia, Quynh T. Nguyen, Louis Schatzki, Patrick J. Coles, Frederic Sauvage, Martin Larocca, Marco Cerezo
2022	J	`jnl`	Resource frugal optimizer for quantum machine learning. CoRR Charles Moussa, Max Hunter Gordon, Michal Baczyk, Marco Cerezo, Lukasz Cincio, Patrick J. Coles
2022	J	`jnl`	The quantum low-rank approximation problem. CoRR Nic Ezzell, Zoë Holmes, Patrick J. Coles
2022	J	`jnl`	Theory for Equivariant Quantum Neural Networks. CoRR Quynh T. Nguyen, Louis Schatzki, Paolo Braccia, Michael Ragone, Patrick J. Coles, Frederic Sauvage, Martin Larocca, Marco Cerezo
2021	J	`jnl`	A semi-agnostic ansatz with variable structure for quantum machine learning. CoRR Matías Bilkis, Marco Cerezo, Guillaume Verdon, Patrick J. Coles, Lukasz Cincio
2021	J	`jnl`	Adaptive shot allocation for fast convergence in variational quantum algorithms. CoRR Andi Gu, Angus Lowe, Pavel A. Dub, Patrick J. Coles, Andrew Arrasmith
2021	J	`jnl`	Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms? CoRR Samson Wang, Piotr Czarnik, Andrew Arrasmith, Marco Cerezo, Lukasz Cincio, Patrick J. Coles
2021	J	`jnl`	Connecting ansatz expressibility to gradient magnitudes and barren plateaus. CoRR Zoë Holmes, Kunal Sharma, Marco Cerezo, Patrick J. Coles
2021	J	`jnl`	Effect of barren plateaus on gradient-free optimization. Quantum Andrew Arrasmith, Marco Cerezo, Piotr Czarnik, Lukasz Cincio, Patrick J. Coles
2021	J	`jnl`	Entangled Datasets for Quantum Machine Learning. CoRR Louis Schatzki, Andrew Arrasmith, Patrick J. Coles, Marco Cerezo
2021	J	`jnl`	Equivalence of quantum barren plateaus to cost concentration and narrow gorges. CoRR Andrew Arrasmith, Zoë Holmes, Marco Cerezo, Patrick J. Coles
2021	J	`jnl`	Error mitigation with Clifford quantum-circuit data. Quantum Piotr Czarnik, Andrew Arrasmith, Patrick J. Coles, Lukasz Cincio
2021	J	`jnl`	Generalization in quantum machine learning from few training data. CoRR Matthias C. Caro, Hsin-Yuan Huang, Marco Cerezo, Kunal Sharma, Andrew T. Sornborger, Lukasz Cincio, Patrick J. Coles
2021	J	`jnl`	Long-time simulations with high fidelity on quantum hardware. CoRR Joe Gibbs, Kaitlin Gili, Zoë Holmes, Benjamin Commeau, Andrew Arrasmith, Lukasz Cincio, Patrick J. Coles, Andrew T. Sornborger
2021	J	`jnl`	Seeking quantum advantage for neural networks. Nat. Comput. Sci. Patrick J. Coles
2021	J	`jnl`	Subtleties in the trainability of quantum machine learning models. CoRR Supanut Thanasilp, Samson Wang, Nhat A. Nghiem, Patrick J. Coles, Marco Cerezo
2021	J	`jnl`	Theory of overparametrization in quantum neural networks. CoRR Martin Larocca, Nathan Ju, Diego García-Martín, Patrick J. Coles, Marco Cerezo
2021	J	`jnl`	Variational Quantum Algorithms for Semidefinite Programming. CoRR Dhrumil Patel, Patrick J. Coles, Mark M. Wilde
2020	J	`jnl`	Absence of Barren Plateaus in Quantum Convolutional Neural Networks. CoRR Arthur Pesah, Marco Cerezo, Samson Wang, Tyler J. Volkoff, Andrew T. Sornborger, Patrick J. Coles
2020	J	`jnl`	An Adaptive Optimizer for Measurement-Frugal Variational Algorithms. Quantum Jonas M. Kübler, Andrew Arrasmith, Lukasz Cincio, Patrick J. Coles
2020	J	`jnl`	Cost-Function-Dependent Barren Plateaus in Shallow Quantum Neural Networks. CoRR Marco Cerezo, Akira Sone, Tyler J. Volkoff, Lukasz Cincio, Patrick J. Coles
2020	J	`jnl`	Effect of barren plateaus on gradient-free optimization. CoRR Andrew Arrasmith, Marco Cerezo, Piotr Czarnik, Lukasz Cincio, Patrick J. Coles
2020	J	`jnl`	Noise-Induced Barren Plateaus in Variational Quantum Algorithms. CoRR Samson Wang, Enrico Fontana, Marco Cerezo, Kunal Sharma, Akira Sone, Lukasz Cincio, Patrick J. Coles
2020	J	`jnl`	Optimizing parametrized quantum circuits via noise-induced breaking of symmetries. CoRR Enrico Fontana, Marco Cerezo, Andrew Arrasmith, Ivan Rungger, Patrick J. Coles
2020	J	`jnl`	Reformulation of the No-Free-Lunch Theorem for Entangled Data Sets. CoRR Kunal Sharma, Marco Cerezo, Zoë Holmes, Lukasz Cincio, Andrew T. Sornborger, Patrick J. Coles
2020	J	`jnl`	Trainability of Dissipative Perceptron-Based Quantum Neural Networks. CoRR Kunal Sharma, Marco Cerezo, Lukasz Cincio, Patrick J. Coles
2020	J	`jnl`	Variational Quantum Algorithms. CoRR 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
2020	J	`jnl`	Variational Quantum Fidelity Estimation. Quantum Marco Cerezo, Alexander Poremba, Lukasz Cincio, Patrick J. Coles
2019	J	`jnl`	Quantum-assisted quantum compiling. Quantum Sumeet Khatri, Ryan LaRose, Alexander Poremba, Lukasz Cincio, Andrew T. Sornborger, Patrick J. Coles
2018	J	`jnl`	Quantum Algorithm Implementations for Beginners. CoRR 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 Mascarenas, Susan M. Mniszewski, Balu Nadiga, Dan O'Malley, Diane Oyen, Lakshman Prasad, Randy Roberts, Philip Romero, Nandakishore Santhi, Nikolai Sinitsyn, Pieter J. Swart, Marc Vuffray, Jim Wendelberger, Boram Yoon, Richard J. Zamora, Wei Zhu
2018	J	`jnl`	Reliable numerical key rates for quantum key distribution. Quantum Adam Winick, Norbert Lütkenhaus, Patrick J. Coles