Kunal Sharma

According to our database, Kunal Sharma authored at least 18 papers between 2017 and 2026.

Collaborative distances:

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

2026

Shallow-circuit Supervised Learning on a Quantum Processor.

Luca Candelori, Swarnadeep Majumder, Antonio Mezzacapo, Javier Robledo Moreno, Kharen Musaelian, Santhanam Nagarajan, Sunil Pinnamaneni, Kunal Sharma, Dario Villani

CoRR, January, 2026

2025

AI tools for advancement of manufacturing sector: a systematic review, bibliometric analysis, thematic synthesis and technological framework development.

Kunal Sharma, Vikrant Sharma, Mukheshwar Yadav

Int. J. Manuf. Res., 2025

2024

Quantum-centric supercomputing for materials science: A perspective on challenges and future directions.

Yuri Alexeev, Maximilian Amsler, Marco Antonio Barroca, Sanzio Bassini, Torey Battelle, Daan Camps, David Casanova, Young Jay Choi, Frederic T. Chong, Charles Chung, Christopher Codella, Antonio D. Córcoles, James Cruise, Alberto Di Meglio, Ivan Duran, Thomas Eckl, Sophia E. Economou, Stephan J. Eidenbenz, Bruce Elmegreen, Clyde Fare, Ismael Faro, Cristina Sanz Fernández, Rodrigo Neumann Barros Ferreira, Keisuke Fuji, Bryce Fuller, Laura Gagliardi, Giulia Galli, Jennifer R. Glick, Isacco Gobbi, Pranav Gokhale, Salvador de la Puente Gonzalez, Johannes Greiner, Bill Gropp, Michele Grossi, Emanuel Gull, Burns Healy, Matthew R. Hermes, Benchen Huang, Travis S. Humble, Nobuyasu Ito, Artur F. Izmaylov, Ali Javadi-Abhari, Douglas M. Jennewein, Shantenu Jha, Liang Jiang, Barbara Jones, Wibe Albert de Jong, Petar Jurcevic, William M. Kirby, Stefan Kister, Masahiro Kitagawa, Joel Klassen, Katherine Klymko, Kwangwon Koh, Masaaki Kondo, Doga Murat Kürkçüoglu, Krzysztof Kurowski, Teodoro Laino, Ryan Landfield, Matthew L. Leininger, Vicente Leyton-Ortega, Ang Li, Meifeng Lin, Junyu Liu, Nicolás Lorente, André Luckow, Simon Martiel, Francisco Martín-Fernández, Margaret Martonosi, Claire Marvinney, Arcesio Castañeda Medina, Dirk Merten, Antonio Mezzacapo, Kristel Michielsen, Abhishek Mitra, Tushar Mittal, Kyungsun Moon, Joel Moore, Sarah Mostame, Mario Motta, Young-Hye Na, Yunseong Nam, Prineha Narang, Yu-ya Ohnishi, Daniele Ottaviani, Matthew Otten, Scott Pakin, Vincent R. Pascuzzi, Edwin Pednault, Tomasz Piontek, Jed Pitera, Patrick Rall, Gokul Subramanian Ravi, Niall Robertson, Matteo A. C. Rossi, Piotr Rydlichowski, Hoon Ryu, Georgy Samsonidze, Mitsuhisa Sato, Nishant Saurabh, Vidushi Sharma, Kunal Sharma, Soyoung Shin, George Slessman, Mathias Steiner, Iskandar Sitdikov, In-Saeng Suh, Eric D. Switzer, Wei Tang, Joel Thompson, Synge Todo, Minh C. Tran, Dimitar Trenev, Christian Trott, Huan-Hsin Tseng, Norm M. Tubman, Esin Tureci, David García Valiñas, Sofia Vallecorsa, Christopher Wever, Konrad Wojciechowski, Xiaodi Wu, Shinjae Yoo, Nobuyuki Yoshioka, Victor Wen-zhe Yu, Seiji Yunoki, Sergiy Zhuk, Dmitry Zubarev

Future Gener. Comput. Syst., 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

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