Zoë Holmes

According to our database, Zoë Holmes authored at least 18 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Classically estimating observables of noiseless quantum circuits.

Armando Angrisani, Alexander Schmidhuber, Manuel S. Rudolph, Marco Cerezo, Zoë Holmes, Hsin-Yuan Huang

CoRR, 2024

Quantum Convolutional Neural Networks are (Effectively) Classically Simulable.

Pablo Bermejo, Paolo Braccia, Manuel S. Rudolph, Zoë Holmes, Lukasz Cincio, Marco Cerezo

CoRR, 2024

A Review of Barren Plateaus in Variational Quantum Computing.

Martin Larocca, Supanut Thanasilp, Samson Wang, Kunal Sharma, Jacob D. Biamonte, Patrick J. Coles, Lukasz Cincio, Jarrod R. McClean, Zoë Holmes, Marco Cerezo

CoRR, 2024

Variational quantum simulation: a case study for understanding warm starts.

Ricard Puig-i-Valls, Marc Drudis, Supanut Thanasilp, Zoë Holmes

CoRR, 2024

2023

On fundamental aspects of quantum extreme learning machines.

Weijie Xiong, Giorgio Facelli, Mehrad Sahebi, Owen Agnel, Thiparat Chotibut, Supanut Thanasilp, Zoë Holmes

CoRR, 2023

Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing.

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

CoRR, 2023

Trainability barriers and opportunities in quantum generative modeling.

Manuel S. Rudolph, Sacha Lerch, Supanut Thanasilp, Oriel Kiss, Sofia Vallecorsa, Michele Grossi, Zoë Holmes

CoRR, 2023

The power and limitations of learning quantum dynamics incoherently.

Sofiène Jerbi, Joe Gibbs, Manuel S. Rudolph, Matthias C. Caro, Patrick J. Coles, Hsin-Yuan Huang, Zoë Holmes

CoRR, 2023

2022

Quantum algorithms from fluctuation theorems: Thermal-state preparation.

Zoë Holmes, Gopikrishnan Muraleedharan, Rolando D. Somma, Yigit Subasi, Burak Sahinoglu

Quantum, September, 2022

Exponential concentration and untrainability in quantum kernel methods.

Supanut Thanasilp, Samson Wang, Marco Cerezo, Zoë Holmes

CoRR, 2022

Dynamical simulation via quantum machine learning with provable generalization.

Joe Gibbs, Zoë Holmes, Matthias C. Caro, Nicholas Ezzell, Hsin-Yuan Huang, Lukasz Cincio, Andrew T. Sornborger, Patrick J. Coles

CoRR, 2022

Out-of-distribution generalization for learning quantum dynamics.

Matthias C. Caro, Hsin-Yuan Huang, Nicholas Ezzell, Joe Gibbs, Andrew T. Sornborger, Lukasz Cincio, Patrick J. Coles, Zoë Holmes

CoRR, 2022

The quantum low-rank approximation problem.

Nic Ezzell, Zoë Holmes, Patrick J. Coles

CoRR, 2022

2021

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

Andrew Arrasmith, Zoë Holmes, Marco Cerezo, Patrick J. Coles

CoRR, 2021

Long-time simulations with high fidelity on quantum hardware.

Joe Gibbs, Kaitlin Gili, Zoë Holmes, Benjamin Commeau, Andrew Arrasmith, Lukasz Cincio, Patrick J. Coles, Andrew T. Sornborger

CoRR, 2021

Connecting ansatz expressibility to gradient magnitudes and barren plateaus.

Zoë Holmes, Kunal Sharma, Marco Cerezo, Patrick J. Coles

CoRR, 2021

2020

Quantifying Athermality and Quantum Induced Deviations from Classical Fluctuation Relations.

Zoë Holmes, Erick Hinds Mingo, Calvin Y.-R. Chen, Florian Mintert

Entropy, 2020

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

Kunal Sharma, Marco Cerezo, Zoë Holmes, Lukasz Cincio, Andrew T. Sornborger, Patrick J. Coles

CoRR, 2020