Marco Cerezo

According to our database1, Marco Cerezo authored at least 25 papers between 2020 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2022
Resource frugal optimizer for quantum machine learning.
CoRR, 2022

Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks.
CoRR, 2022

Theory for Equivariant Quantum Neural Networks.
CoRR, 2022

Representation Theory for Geometric Quantum Machine Learning.
CoRR, 2022

Exponential concentration and untrainability in quantum kernel methods.
CoRR, 2022

Inference-Based Quantum Sensing.
CoRR, 2022

Group-Invariant Quantum Machine Learning.
CoRR, 2022

Covariance matrix preparation for quantum principal component analysis.
CoRR, 2022

2021
Effect of barren plateaus on gradient-free optimization.
Quantum, 2021

Generalization in quantum machine learning from few training data.
CoRR, 2021

Subtleties in the trainability of quantum machine learning models.
CoRR, 2021

Theory of overparametrization in quantum neural networks.
CoRR, 2021

Entangled Datasets for Quantum Machine Learning.
CoRR, 2021

Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms?
CoRR, 2021

Equivalence of quantum barren plateaus to cost concentration and narrow gorges.
CoRR, 2021

A semi-agnostic ansatz with variable structure for quantum machine learning.
CoRR, 2021

Connecting ansatz expressibility to gradient magnitudes and barren plateaus.
CoRR, 2021

2020
Variational Quantum Fidelity Estimation.
Quantum, 2020

Variational Quantum Algorithms.
CoRR, 2020

Optimizing parametrized quantum circuits via noise-induced breaking of symmetries.
CoRR, 2020

Absence of Barren Plateaus in Quantum Convolutional Neural Networks.
CoRR, 2020

Noise-Induced Barren Plateaus in Variational Quantum Algorithms.
CoRR, 2020

Reformulation of the No-Free-Lunch Theorem for Entangled Data Sets.
CoRR, 2020

Trainability of Dissipative Perceptron-Based Quantum Neural Networks.
CoRR, 2020

Cost-Function-Dependent Barren Plateaus in Shallow Quantum Neural Networks.
CoRR, 2020


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