Ankit Kulshrestha

16 papers A* 1Misc 3Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Neural Architecture Search Algorithms for Quantum Autoencoders.
CoRR
Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Ilya Safro
2025 — conf
Partition-based Surface Code Compilation.
HPEC
Hanjing Xu, Xiaoyuan Liu, Ankit Kulshrestha, Hayato Ushijima-Mwesigwa
2024 Misc conf
QAdaPrune: Adaptive Parameter Pruning For Training Variational Quantum Circuits.
QCE
Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Bao Bach, Ilya Safro
2024 J jnl
QAdaPrune: Adaptive Parameter Pruning For Training Variational Quantum Circuits.
CoRR
Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Bao Bach, Ilya Safro
2023 J jnl
Learning To Optimize Quantum Neural Network Without Gradients.
CoRR
Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Ilya Safro
2023 Misc conf
Learning to Optimize Quantum Neural Networks Without Gradients.
QCE
Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Ilya Safro
2023 — conf
QArchSearch: A Scalable Quantum Architecture Search Package.
SC Workshops
Ankit Kulshrestha, Ilya Safro, Yuri Alexeev
2023 J jnl
QArchSearch: A Scalable Quantum Architecture Search Package.
CoRR
Ankit Kulshrestha, Danylo Lykov, Ilya Safro, Yuri Alexeev
2022 A* conf
Accelerating COVID-19 Research with Graph Mining and Transformer-Based Learning.
AAAI
Ilya Tyagin, Ankit Kulshrestha, Justin Sybrandt, Krish Matta, Michael Shtutman, Ilya Safro
2022 Misc conf
BEINIT: Avoiding Barren Plateaus in Variational Quantum Algorithms.
QCE
Ankit Kulshrestha, Ilya Safro
2022 J jnl
BEINIT: Avoiding Barren Plateaus in Variational Quantum Algorithms.
CoRR
Ankit Kulshrestha, Ilya Safro
2022 J jnl
Cobol2Vec: Learning Representations of Cobol code.
CoRR
Ankit Kulshrestha, Vishwas Lele
2021 J jnl
Accelerating COVID-19 research with graph mining and transformer-based learning.
CoRR
Ilya Tyagin, Ankit Kulshrestha, Justin Sybrandt, Krish Matta, Michael Shtutman, Ilya Safro
2021 J jnl
Coping with Mistreatment in Fair Algorithms.
CoRR
Ankit Kulshrestha, Ilya Safro
2021 J jnl
FAIRLEARN: Configurable and Interpretable Algorithmic Fairness.
CoRR
Ankit Kulshrestha, Ilya Safro
2018 — conf
Artificial Intelligence and Deep Learning Applications for Automotive Manufacturing.
IEEE BigData
André Luckow, Ken Kennedy, Marcin Ziolkowski, Emil Djerekarov, Matthew Cook, Edward B. Duffy, Michael Schleiss, Bennie Vorster, Edwin Weill, Ankit Kulshrestha, Melissa C. Smith