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Simulating quantum circuits with arbitrary local noise using Pauli
Propagation
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2025
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Armando Angrisani
Antonio Anna Mele
Manuel S. Rudolph
M. Cerezo
Zoë Holmes
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Efficient quantum-enhanced classical simulation for patches of quantum
landscapes
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2024
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Sacha Lerch
Ricard Puig
Manuel S. Rudolph
Armando Angrisani
Tyson Jones
M. Cerezo
Supanut Thanasilp
Zoë Holmes
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Classically estimating observables of noiseless quantum circuits
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2024
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Armando Angrisani
Alexander Schmidhuber
Manuel S. Rudolph
M. Cerezo
Zoë Holmes
Hsin-Yuan Huang
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On the practical usefulness of the Hardware Efficient Ansatz
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2024
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Lorenzo Leone
Salvatore F. E. Oliviero
Ćukasz Cincio
M. Cerezo
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Theory for Equivariant Quantum Neural Networks
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2024
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Kate Nguyen
Louis Schatzki
Paolo Braccia
Michael Ragone
Patrick J. Coles
Frédéric Sauvage
MartĂn Larocca
M. Cerezo
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On the universality of $S_n$-equivariant $k$-body gates
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2024
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Sujay Kazi
MartĂn Larocca
M. Cerezo
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Hierarchy of multipartite correlations based on concentratable entanglement
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2024
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Louis Schatzki
Guangkuo Liu
M. Cerezo
Eric Chitambar
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Effects of noise on the overparametrization of quantum neural networks
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2024
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Diego GarcĂa-MartĂn
MartĂn Larocca
M. Cerezo
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Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms?
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2024
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Samson Wang
Piotr Czarnik
Andrew Arrasmith
M. Cerezo
Ćukasz Cincio
Patrick J. Coles
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Computing exact moments of local random quantum circuits via tensor
networks
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2024
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Paolo Braccia
Pablo Bermejo
Ćukasz Cincio
M. Cerezo
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Building spatial symmetries into parameterized quantum circuits for faster training
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2024
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Frédéric Sauvage
MartĂn Larocca
Patrick J. Coles
M. Cerezo
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Building spatial symmetries into parameterized quantum circuits for faster training
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2023
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Frédéric Sauvage
MartĂn Larocca
Patrick J. Coles
M. Cerezo
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Variational Quantum Linear Solver
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2023
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Carlos Bravo-Prieto
Ryan LaRose
M. Cerezo
YiÄit SubaĆı
Ćukasz Cincio
Patrick J. Coles
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Resource frugal optimizer for quantum machine learning
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2023
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Charles Moussa
Max Hunter Gordon
MichaĆ BÄ
czyk
M. Cerezo
Ćukasz Cincio
Patrick J. Coles
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The battle of clean and dirty qubits in the era of partial error correction
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2023
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Daniel Bultrini
Samson Wang
Piotr Czarnik
Max Hunter Gordon
M. Cerezo
Patrick J. Coles
Ćukasz Cincio
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The battle of clean and dirty qubits in the era of partial error correction
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2023
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Daniel Bultrini
Samson Wang
Piotr Czarnik
Max Hunter Gordon
M. Cerezo
Patrick J. Coles
Ćukasz Cincio
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Theory of overparametrization in quantum neural networks
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2023
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MartĂn Larocca
Nathan Ju
Diego GarcĂa-MartĂn
Patrick J. Coles
M. Cerezo
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Unifying and benchmarking state-of-the-art quantum error mitigation techniques
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2023
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Daniel Bultrini
Max Hunter Gordon
Piotr Czarnik
Andrew Arrasmith
M. Cerezo
Patrick J. Coles
Ćukasz Cincio
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Subtleties in the trainability of quantum machine learning models
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2023
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Supanut Thanasilp
Samson Wang
Nhat A. Nghiem
Patrick J. Coles
M. Cerezo
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Quantum algorithms for geologic fracture networks
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2023
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Jessie M. Henderson
Marianna Podzorova
M. Cerezo
John Golden
Leonard Gleyzer
Hari Viswanathan
Daniel OâMalley
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Effects of noise on the overparametrization of quantum neural networks
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2023
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Diego GarcĂa-MartĂn
MartĂn Larocca
M. Cerezo
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On the universality of $S_n$-equivariant $k$-body gates
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2023
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Sujay Kazi
MartĂn Larocca
M. Cerezo
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Deep quantum neural networks form Gaussian processes
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2023
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Diego GarcĂa-MartĂn
MartĂn Larocca
M. Cerezo
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Lie-algebraic classical simulations for variational quantum computing
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2023
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Matthew L. Goh
MartĂn Larocca
Ćukasz Cincio
M. Cerezo
Frédéric Sauvage
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A Unified Theory of Barren Plateaus for Deep Parametrized Quantum Circuits
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2023
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Michael Ragone
Bojko Bakalov
Frédéric Sauvage
Alexander F. Kemper
Carlos Ortiz Marrero
MartĂn Larocca
M. Cerezo
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Showcasing a Barren Plateau Theory Beyond the Dynamical Lie Algebra
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2023
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N. L. Diaz
Diego GarcĂa-MartĂn
Sujay Kazi
MartĂn Larocca
M. Cerezo
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Inference-Based Quantum Sensing
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2022
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C. Huerta Alderete
Max Hunter Gordon
Frédéric Sauvage
Akira Sone
Andrew Sornborger
Patrick J. Coles
M. Cerezo
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Diagnosing Barren Plateaus with Tools from Quantum Optimal Control
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2022
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MartĂn Larocca
Piotr Czarnik
Kunal Sharma
Gopikrishnan Muraleedharan
Patrick J. Coles
M. Cerezo
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Variational quantum state eigensolver
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2022
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M. Cerezo
Kunal Sharma
Andrew Arrasmith
Patrick J. Coles
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Group-Invariant Quantum Machine Learning
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2022
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MartĂn Larocca
Frédéric Sauvage
Faris M. Sbahi
Guillaume Verdon
Patrick J. Coles
M. Cerezo
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Non-trivial symmetries in quantum landscapes and their resilience to quantum noise
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2022
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Enrico Fontana
M. Cerezo
Andrew Arrasmith
Ivan Rungger
Patrick J. Coles
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Challenges and opportunities in quantum machine learning
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2022
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M. Cerezo
Guillaume Verdon
Hsin-Yuan Huang
Ćukasz Cincio
Patrick J. Coles
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Covariance Matrix Preparation for Quantum Principal Component Analysis
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2022
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Max Hunter Gordon
M. Cerezo
Ćukasz Cincio
Patrick J. Coles
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Generalization in quantum machine learning from few training data
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2022
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C. Matthias
Hsin-Yuan Huang
M. Cerezo
Kunal Sharma
Andrew Sornborger
Ćukasz Cincio
Patrick J. Coles
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Equivalence of quantum barren plateaus to cost concentration and narrow gorges
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2022
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Andrew Arrasmith
Zoë Holmes
M. Cerezo
Patrick J. Coles
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Trainability of Dissipative Perceptron-Based Quantum Neural Networks
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2022
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Kunal Sharma
M. Cerezo
Ćukasz Cincio
Patrick J. Coles
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Reformulation of the No-Free-Lunch Theorem for Entangled Datasets
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2022
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Kunal Sharma
M. Cerezo
Zoë Holmes
Ćukasz Cincio
Andrew Sornborger
Patrick J. Coles
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Variational quantum algorithm for estimating the quantum Fisher information
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2022
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Jacob L. Beckey
M. Cerezo
Akira Sone
Patrick J. Coles
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Connecting Ansatz Expressibility to Gradient Magnitudes and Barren Plateaus
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2022
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Zoë Holmes
Kunal Sharma
M. Cerezo
Patrick J. Coles
|
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Building spatial symmetries into parameterized quantum circuits for faster training
|
2022
|
Frédéric Sauvage
MartĂn Larocca
Patrick J. Coles
M. Cerezo
|
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+
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Theory for Equivariant Quantum Neural Networks
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2022
|
Kate Nguyen
Louis Schatzki
Paolo Braccia
Michael Ragone
Patrick J. Coles
Frédéric Sauvage
MartĂn Larocca
M. Cerezo
|
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Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks
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2022
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Louis Schatzki
MartĂn Larocca
Quynh T. Nguyen
Frédéric Sauvage
M. Cerezo
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Generalized measure of quantum Fisher information
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2021
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Akira Sone
M. Cerezo
Jacob L. Beckey
Patrick J. Coles
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Noise-induced barren plateaus in variational quantum algorithms
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2021
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Samson Wang
Enrico Fontana
M. Cerezo
Kunal Sharma
Akira Sone
Ćukasz Cincio
Patrick J. Coles
|
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Absence of Barren Plateaus in Quantum Convolutional Neural Networks
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2021
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Arthur Pesah
M. Cerezo
Samson Wang
Tyler Volkoff
Andrew Sornborger
Patrick J. Coles
|
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Effect of barren plateaus on gradient-free optimization
|
2021
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Andrew Arrasmith
M. Cerezo
Piotr Czarnik
Ćukasz Cincio
Patrick J. Coles
|
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Computable and Operationally Meaningful Multipartite Entanglement Measures
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2021
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Jacob L. Beckey
N. Gigena
Patrick J. Coles
M. Cerezo
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Variational quantum algorithms
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2021
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M. Cerezo
Andrew Arrasmith
Ryan Babbush
Simon C. Benjamin
Suguru Endo
Keisuke Fujii
Jarrod R. McClean
Kosuke Mitarai
Xiao Yuan
Ćukasz Cincio
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Sub-quantum Fisher information
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2021
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M. Cerezo
Akira Sone
Jacob L. Beckey
Patrick J. Coles
|
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Computable and operationally meaningful multipartite entanglement measures
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2021
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Jacob L. Beckey
N. Gigena
Patrick J. Coles
M. Cerezo
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Higher order derivatives of quantum neural networks with barren plateaus
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2021
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M. Cerezo
Patrick J. Coles
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Cost function dependent barren plateaus in shallow parametrized quantum circuits
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2021
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M. Cerezo
Akira Sone
Tyler Volkoff
Ćukasz Cincio
Patrick J. Coles
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A semi-agnostic ansatz with variable structure for quantum machine learning
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2021
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M. Bilkis
M. Cerezo
Guillaume Verdon
Patrick J. Coles
Ćukasz Cincio
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Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms?
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2021
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Samson Wang
Piotr Czarnik
Andrew Arrasmith
M. Cerezo
Ćukasz Cincio
Patrick J. Coles
|
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Entangled Datasets for Quantum Machine Learning
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2021
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Louis Schatzki
Andrew Arrasmith
Patrick J. Coles
M. Cerezo
|
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Subtleties in the trainability of quantum machine learning models
|
2021
|
Supanut Thanasilp
Samson Wang
Nhat A. Nghiem
Patrick J. Coles
M. Cerezo
|
|
+
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Unifying and benchmarking state-of-the-art quantum error mitigation techniques
|
2021
|
Daniel Bultrini
Max Hunter Gordon
Piotr Czarnik
Andrew Arrasmith
M. Cerezo
Patrick J. Coles
Ćukasz Cincio
|
|
+
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Theory of overparametrization in quantum neural networks
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2021
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MartĂn Larocca
Nathan Ju
Diego GarcĂa-MartĂn
Patrick J. Coles
M. Cerezo
|
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+
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Optimizing parametrized quantum circuits via noise-induced breaking of symmetries
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2020
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Enrico Fontana
M. Cerezo
Andrew Arrasmith
Ivan Rungger
Patrick J. Coles
|
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+
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Absence of Barren Plateaus in Quantum Convolutional Neural Networks
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2020
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Arthur Pesah
M. Cerezo
Samson Wang
Tyler Volkoff
Andrew Sornborger
Patrick J. Coles
|
|
+
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A Generalized Measure of Quantum Fisher Information
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2020
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Akira Sone
M. Cerezo
Jacob L. Beckey
Patrick J. Coles
|
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+
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Noise-Induced Barren Plateaus in Variational Quantum Algorithms
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2020
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Samson Wang
Enrico Fontana
M. Cerezo
Kunal Sharma
Akira Sone
Ćukasz Cincio
Patrick J. Coles
|
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+
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Chat
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Variational Quantum Fidelity Estimation
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2020
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M. Cerezo
Alexander Poremba
Ćukasz Cincio
Patrick J. Coles
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Noise resilience of variational quantum compiling
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2020
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Kunal Sharma
Sumeet Khatri
M. Cerezo
Patrick J. Coles
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Cost-Function-Dependent Barren Plateaus in Shallow Quantum Neural Networks.
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2020
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M. Cerezo
Akira Sone
Tyler Volkoff
Ćukasz Cincio
Patrick J. Coles
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Variational Hamiltonian Diagonalization for Dynamical Quantum Simulation
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2020
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Benjamin Commeau
M. Cerezo
Zoë Holmes
Ćukasz Cincio
Patrick J. Coles
Andrew Sornborger
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Fermionic entanglement in the Lipkin model
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2019
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Martina Di Tullio
R. Rossignoli
M. Cerezo
N. Gigena
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Variational Quantum Linear Solver: A Hybrid Algorithm for Linear Systems
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2019
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Carlos Bravo-Prieto
Ryan LaRose
M. Cerezo
YiÄit SubaĆı
Ćukasz Cincio
Patrick J. Coles
|
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Strong bound between trace distance and Hilbert-Schmidt distance for low-rank states
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2019
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Patrick J. Coles
M. Cerezo
Ćukasz Cincio
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Inducing critical phenomena in spin chains through sparse alternating fields
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2019
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M. Cerezo
R. Rossignoli
N. Canosa
C. A. Lamas
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Variational Quantum Linear Solver
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2019
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Carlos Bravo-Prieto
Ryan LaRose
M. Cerezo
YiÄit SubaĆı
Ćukasz Cincio
Patrick J. Coles
|
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Factorization and Criticality in Finite <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>X</mml:mi><mml:mi>X</mml:mi><mml:mi>Z</mml:mi></mml:math> Systems of Arbitrary Spin
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2017
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M. Cerezo
R. Rossignoli
N. Canosa
ElĂas RĂos
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Quantum Discord and Entropic Measures of Quantum Correlations: Optimization and Behavior in Finite XY Spin Chains
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2017
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N. Canosa
M. Cerezo
N. Gigena
R. Rossignoli
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Factorization in spin systems under general fields and separable ground-state engineering
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2016
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M. Cerezo
R. Rossignoli
N. Canosa
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System-time entanglement in a discrete-time model
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2016
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A. Boette
R. Rossignoli
N. Gigena
M. Cerezo
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Nontransverse factorizing fields and entanglement in finite spin systems
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2015
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M. Cerezo
R. Rossignoli
N. Canosa
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