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Journal Articles
- 2024
[j13]Paolo Braccia, Pablo Bermejo, Lukasz Cincio, Marco Cerezo:
Computing exact moments of local random quantum circuits via tensor networks. Quantum Mach. Intell. 6(2): 54 (2024)- [j12]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) - 2023
- [j11]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) - [j10]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) - [j9]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) - [j8]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) - [j7]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) - [j6]Carlos Bravo-Prieto, Ryan Larose, Marco Cerezo, Yigit Subasi, Lukasz Cincio, Patrick J. Coles:
Variational Quantum Linear Solver. Quantum 7: 1188 (2023) - 2022
- [j5]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) - [j4]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) - [j3]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) - 2021
- [j2]Andrew Arrasmith, Marco Cerezo, Piotr Czarnik, Lukasz Cincio, Patrick J. Coles:
Effect of barren plateaus on gradient-free optimization. Quantum 5: 558 (2021) - 2020
- [j1]Marco Cerezo, Alexander Poremba, Lukasz Cincio, Patrick J. Coles:
Variational Quantum Fidelity Estimation. Quantum 4: 248 (2020)
Informal and Other Publications
- 2024
- [i36]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) - [i35]Diego García-Martín, Paolo Braccia, Marco Cerezo:
Architectures and random properties of symplectic quantum circuits. CoRR abs/2405.10264 (2024) - [i34]Alice Barthe, Marco Cerezo, Andrew T. Sornborger, Martin Larocca, Diego García-Martín:
Gate-based quantum simulation of Gaussian bosonic circuits on exponentially many modes. CoRR abs/2407.06290 (2024) - [i33]Andrew E. Deneris, Pablo Bermejo, Paolo Braccia, Lukasz Cincio, Marco Cerezo:
Exact spectral gaps of random one-dimensional quantum circuits. CoRR abs/2408.11201 (2024) - [i32]Pablo Bermejo, Paolo Braccia, Manuel S. Rudolph, Zoë Holmes, Lukasz Cincio, Marco Cerezo:
Quantum Convolutional Neural Networks are (Effectively) Classically Simulable. CoRR abs/2408.12739 (2024) - [i31]Armando Angrisani, Alexander Schmidhuber, Manuel S. Rudolph, Marco Cerezo, Zoë Holmes, Hsin-Yuan Huang:
Classically estimating observables of noiseless quantum circuits. CoRR abs/2409.01706 (2024) - [i30]Maxwell West, Antonio Anna Mele, Martin Larocca, Marco Cerezo:
Random ensembles of symplectic and unitary states are indistinguishable. CoRR abs/2409.16500 (2024) - 2023
- [i29]Diego García-Martín, Martin Larocca, Marco Cerezo:
Effects of noise on the overparametrization of quantum neural networks. CoRR abs/2302.05059 (2023) - [i28]Sujay Kazi, Martin Larocca, Marco Cerezo:
On the universality of Sn-equivariant k-body gates. CoRR abs/2303.00728 (2023) - [i27]Marco Cerezo, Guillaume Verdon, Hsin-Yuan Huang, Lukasz Cincio, Patrick J. Coles:
Challenges and Opportunities in Quantum Machine Learning. CoRR abs/2303.09491 (2023) - [i26]Diego García-Martín, Martin Larocca, Marco Cerezo:
Deep quantum neural networks form Gaussian processes. CoRR abs/2305.09957 (2023) - [i25]Marco Cerezo, Martin Larocca, Diego García-Martín, Nelson L. Diaz, Paolo Braccia, Enrico Fontana, Manuel S. Rudolph, Pablo Bermejo, Aroosa Ijaz, Supanut Thanasilp, Eric R. Anschuetz, Zoë Holmes:
Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing. CoRR abs/2312.09121 (2023) - 2022
- [i24]Max Hunter Gordon, Marco Cerezo, Lukasz Cincio, Patrick J. Coles:
Covariance matrix preparation for quantum principal component analysis. CoRR abs/2204.03495 (2022) - [i23]Martin Larocca, Frederic Sauvage, Faris M. Sbahi, Guillaume Verdon, Patrick J. Coles, Marco Cerezo:
Group-Invariant Quantum Machine Learning. CoRR abs/2205.02261 (2022) - [i22]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) - [i21]Supanut Thanasilp, Samson Wang, Marco Cerezo, Zoë Holmes:
Exponential concentration and untrainability in quantum kernel methods. CoRR abs/2208.11060 (2022) - [i20]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) - [i19]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) - [i18]Louis Schatzki, Martin Larocca, Frederic Sauvage, Marco Cerezo:
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks. CoRR abs/2210.09974 (2022) - [i17]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
- [i16]Zoë Holmes, Kunal Sharma, Marco Cerezo, Patrick J. Coles:
Connecting ansatz expressibility to gradient magnitudes and barren plateaus. CoRR abs/2101.02138 (2021) - [i15]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) - [i14]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) - [i13]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) - [i12]Louis Schatzki, Andrew Arrasmith, Patrick J. Coles, Marco Cerezo:
Entangled Datasets for Quantum Machine Learning. CoRR abs/2109.03400 (2021) - [i11]Martin Larocca, Nathan Ju, Diego García-Martín, Patrick J. Coles, Marco Cerezo:
Theory of overparametrization in quantum neural networks. CoRR abs/2109.11676 (2021) - [i10]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) - [i9]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) - 2020
- [i8]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) - [i7]Kunal Sharma, Marco Cerezo, Lukasz Cincio, Patrick J. Coles:
Trainability of Dissipative Perceptron-Based Quantum Neural Networks. CoRR abs/2005.12458 (2020) - [i6]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) - [i5]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) - [i4]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) - [i3]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) - [i2]Andrew Arrasmith, Marco Cerezo, Piotr Czarnik, Lukasz Cincio, Patrick J. Coles:
Effect of barren plateaus on gradient-free optimization. CoRR abs/2011.12245 (2020) - [i1]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)
Coauthor Index
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