Kunal Sharma

According to our database, Kunal Sharma authored at least 14 papers between 2017 and 2023.

Collaborative distances:

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

2023

Effect of non-unital noise on random circuit sampling.

Bill Fefferman, Soumik Ghosh, Michael J. Gullans, Kohdai Kuroiwa, Kunal Sharma

CoRR, 2023

2022

Diagnosing Barren Plateaus with Tools from Quantum Optimal Control.

Martin Larocca, Piotr Czarnik, Kunal Sharma, Gopikrishnan Muraleedharan, Patrick J. Coles, Marco Cerezo

Quantum, September, 2022

Smart Boarding System with e-Passports for Secure and Independent Interoperability.

Mohamed Azman, Kunal Sharma

SN Comput. Sci., 2022

An analytic theory for the dynamics of wide quantum neural networks.

Junyu Liu, Khadijeh Najafi, Kunal Sharma, Francesco Tacchino, Liang Jiang, Antonio Mezzacapo

CoRR, 2022

Adapting Static Taint Analyzers to Software Marketplaces: A Leverage Point for Mass Vulnerability Detection?

Daniel Krohmer, Kunal Sharma, Shi Chen

Proceedings of the 2022 ACM Workshop on Software Supply Chain Offensive Research and Ecosystem Defenses, 2022

2021

Error mitigation on a near-term quantum photonic device.

Daiqin Su, Robert Israel, Kunal Sharma, Haoyu Qi, Ish Dhand, Kamil Brádler

Quantum, 2021

Generalization in quantum machine learning from few training data.

Matthias C. Caro, Hsin-Yuan Huang, Marco Cerezo, Kunal Sharma, Andrew T. Sornborger, Lukasz Cincio, Patrick J. Coles

CoRR, 2021

Estimating distinguishability measures on quantum computers.

Rochisha Agarwal, Soorya Rethinasamy, Kunal Sharma, Mark M. Wilde

CoRR, 2021

Connecting ansatz expressibility to gradient magnitudes and barren plateaus.

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

CoRR, 2021

2020

Noise-Induced Barren Plateaus in Variational Quantum Algorithms.

Samson Wang, Enrico Fontana, Marco Cerezo, Kunal Sharma, Akira Sone, Lukasz Cincio, Patrick J. Coles

CoRR, 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

Trainability of Dissipative Perceptron-Based Quantum Neural Networks.

Kunal Sharma, Marco Cerezo, Lukasz Cincio, Patrick J. Coles

CoRR, 2020

2017

Bounding the energy-constrained quantum and private capacities of bosonic thermal channels.

Kunal Sharma, Mark M. Wilde, Sushovit Adhikari, Masahiro Takeoka

CoRR, 2017

Conditional quantum one-time pad.

Kunal Sharma, Eyuri Wakakuwa, Mark M. Wilde

CoRR, 2017