Niraj Kumar

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All published works
Action Title Year Authors
+ PDF Chat Privacy-preserving quantum federated learning via gradient hiding 2024 Changhao Li
Niraj Kumar
Zhixin Song
Shouvanik Chakrabarti
Marco Pistoia
+ Hardness of the Maximum Independent Set Problem on Unit-Disk Graphs and Prospects for Quantum Speedups 2023 Ruben S. Andrist
Martin J. A. Schuetz
Pierre Minssen
Romina Yalovetzky
Shouvanik Chakrabarti
Dylan Herman
Niraj Kumar
Grant Salton
Ruslan Shaydulin
Yue Sun
+ Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem 2023 Ruslan Shaydulin
Changhao Li
Shouvanik Chakrabarti
Matthew DeCross
Dylan Herman
Niraj Kumar
Jeffrey Larson
Danylo Lykov
Pierre Minssen
Yue Sun
+ The Adjoint Is All You Need: Characterizing Barren Plateaus in Quantum Ansätze 2023 Enrico Fontana
Dylan Herman
Shouvanik Chakrabarti
Niraj Kumar
Romina Yalovetzky
Jamie Heredge
Shree Hari Sureshbabu
Marco Pistoia
+ Des-q: a quantum algorithm to construct and efficiently retrain decision trees for regression and binary classification 2023 Niraj Kumar
Romina Yalovetzky
Changhao Li
Pierre Minssen
Marco Pistoia
+ Expressive variational quantum circuits provide inherent privacy in federated learning 2023 Niraj Kumar
Jamie Heredge
Changhao Li
Shaltiel Eloul
Shree Hari Sureshbabu
Marco Pistoia
+ Privacy-preserving quantum federated learning via gradient hiding 2023 Changhao Li
Niraj Kumar
Zhixin Song
Shouvanik Chakrabarti
Marco Pistoia
+ PDF Chat Variational quantum algorithm for unconstrained black box binary optimization: Application to feature selection 2022 Christa Zoufal
Ryan V. Mishmash
Nitin Sharma
Niraj Kumar
Aashish Sheshadri
Amol Deshmukh
Noelle Ibrahim
Julien Gacon
Stefan Woerner
+ Integral Transforms in a Physics-Informed (Quantum) Neural Network setting: Applications & Use-Cases 2022 Niraj Kumar
Evan John Philip
Vincent E. Elfving
+ On the Connection Between Quantum Pseudorandomness and Quantum Hardware Assumptions 2021 Mina Doosti
Niraj Kumar
Elham Kashefi
Kaushik Chakraborty
+ Quantum versus Classical Generative Modelling in Finance 2020 Brian Coyle
M. Todd Henderson
Justin Chan Jin Le
Niraj Kumar
Marco Paini
Elham Kashefi
+ Stochastic modeling of phenotypic switching and chemoresistance in cancer cell populations 2019 Niraj Kumar
Gwendolyn M. Cramer
Seyed Alireza Zamani Dahaj
Bala Sundaram
Jonathan P. Celli
Rahul Kulkarni
+ OntoCat: Automatically categorizing knowledge in API Documentation 2016 Niraj Kumar
Prémkumar Dévanbu
+ On an inequality involving the complex polynomial and its derivative 2015 Niraj Kumar
+ Exploring the Role of Logically Related Non-Question Phrases for Answering Why-Questions 2013 Niraj Kumar
Rashmi Gangadharaiah
Kannan Srinathan
Vasudeva Varma
+ Statistical Approach for Selecting Elite Ants 2012 G Raghavendra
Niraj Kumar
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Towards Quantum Federated Learning 2023 Chao Ren
Han Yu
Rudai Yan
Minrui Xu
Yüan Shen
Huihui Zhu
Dusit Niyato
Zhao Yang Dong
L. C. Kwek
2
+ PDF Chat Exponential Communication Complexity Advantage from Quantum Superposition of the Direction of Communication 2016 Philippe Allard Guérin
Adrien Feix
Mateus Araújo
Časlav Brukner
2
+ PDF Chat See through Gradients: Image Batch Recovery via GradInversion 2021 Hongxu Yin
Arun Mallya
Arash Vahdat
Jose M. Álvarez
Jan Kautz
Pavlo Molchanov
2
+ PDF Chat Communication-Efficient Quantum Algorithm for Distributed Machine Learning 2023 Hao Tang
Boning Li
Guoqing Wang
Haowei Xu
Changhao Li
Ariel Barr
Paola Cappellaro
Ju Li
2
+ PDF Chat Quantum Communication Complexity of Linear Regression 2023 Ashley Montanaro
Changpeng Shao
2
+ PDF Chat Decoy State Quantum Key Distribution 2005 Hoi‐Kwong Lo
Xiongfeng Ma
Kai Chen
2
+ PDF Chat Quantum noise protects quantum classifiers against adversaries 2021 Yuxuan Du
Min-Hsiu Hsieh
Tongliang Liu
Dacheng Tao
Nana Liu
2
+ PDF Chat Federated Quantum Machine Learning 2021 Samuel Yen-Chi Chen
Shinjae Yoo
2
+ Enhancing Privacy against Inversion Attacks in Federated Learning by using Mixing Gradients Strategies 2022 Shaltiel Eloul
Fran Silavong
Sanket Kamthe
Antonios Georgiadis
Sean J. Moran
2
+ Communication-Efficient Learning of Deep Networks from Decentralized Data 2016 H. Brendan McMahan
Eider Moore
Daniel Ramage
Seth Hampson
Blaise Agüera y Arcas
2
+ PDF Chat CryptoQFL: Quantum Federated Learning on Encrypted Data 2023 Cheng Chu
Lei Jiang
Fan Chen
2
+ Exponential Quantum Communication Advantage in Distributed Learning 2023 Dar Gilboa
Jarrod R. McClean
2
+ PDF Chat Constrained quantum optimization for extractive summarization on a trapped-ion quantum computer 2022 Pradeep Niroula
Ruslan Shaydulin
Romina Yalovetzky
Pierre Minssen
Dylan Herman
Shaohan Hu
Marco Pistoia
2
+ PDF Chat Deep Learning with Differential Privacy 2016 Martı́n Abadi
Andy Chu
Ian Goodfellow
H. Brendan McMahan
Ilya Mironov
Kunal Talwar
Li Zhang
2
+ PDF Chat Beyond the Swap Test: Optimal Estimation of Quantum State Overlap 2020 Marco Fanizza
Matteo Rosati
Michael Skotiniotis
John Calsamiglia
Vittorio Giovannetti
2
+ PDF Chat Secure quantum key distribution with realistic devices 2020 Feihu Xu
Xiongfeng Ma
Qiang Zhang
Hoi‐Kwong Lo
Jian-Wei Pan
2
+ PDF Chat Quantum Approximate Optimization Algorithm: Performance, Mechanism, and Implementation on Near-Term Devices 2020 Leo Zhou
Sheng-Tao Wang
Soonwon Choi
Hannes Pichler
Mikhail D. Lukin
2
+ R-GAP: Recursive Gradient Attack on Privacy 2020 Junyi Zhu
Matthew B. Blaschko
2
+ Evaluating Gradient Inversion Attacks and Defenses in Federated Learning 2021 Yangsibo Huang
Samyak Gupta
Song Zhao
Kai Li
Sanjeev Arora
2
+ PDF Chat No Free Lunch Theorem for Security and Utility in Federated Learning 2022 Xiaojin Zhang
Hanlin Gu
Lixin Fan
Kai Chen
Qiang Yang
2
+ Practical Secure Aggregation for Federated Learning on User-Held Data 2016 Keith Bonawitz
Vladimir Ivanov
Ben Kreuter
Antonio Marcedone
H. Brendan McMahan
Sarvar Patel
Daniel Ramage
Aaron Segal
Karn Seth
2
+ Distributed Quantum Computing: a Survey 2022 Marcello Caleffi
Michele Amoretti
Davide Ferrari
Daniele Cuomo
Jessica Illiano
Antonio Manzalini
Angela Sara Cacciapuoti
2
+ Expressive variational quantum circuits provide inherent privacy in federated learning 2023 Niraj Kumar
Jamie Heredge
Changhao Li
Shaltiel Eloul
Shree Hari Sureshbabu
Marco Pistoia
2
+ PDF Chat Multi-client distributed blind quantum computation with the Qline architecture 2023 Beatrice Polacchi
Dominik Leichtle
Leonardo Limongi
Gonzalo Carvacho
Giorgio Milani
Nicolò Spagnolo
Marc Kaplan
Fabio Sciarrino
Elham Kashefi
2
+ A Quantum Approximate Optimization Algorithm 2014 Edward Farhi
Jeffrey Goldstone
Sam Gutmann
2
+ PDF Chat Efficient distributed quantum computing 2013 Robert Beals
Stephen Brierley
Oliver Gray
Aram W. Harrow
Samuel Kutin
Noah Linden
Dan Shepherd
Mark Stather
2
+ Quantum cryptography: Public key distribution and coin tossing 2014 Charles H. Bennett
Gilles Brassard
2
+ PDF Chat Private quantum computation: an introduction to blind quantum computing and related protocols 2017 Joseph F. Fitzsimons
2
+ Federated Learning with Quantum Secure Aggregation 2022 Yichi Zhang
Chao Zhang
Cai Zhang
Lixin Fan
Bei Zeng
Qiang Yang
2
+ PDF Chat Quantum Protocol for Electronic Voting without Election Authorities 2022 Federico Centrone
Eleni Diamanti
Iordanis Kerenidis
2
+ ON DATA BANKS AND PRIVACY HOMOMORPHISMS 1978 Ronald L. Rivest
Michael L. Dertouzos
2
+ PDF Chat Quantum Internet: Networking Challenges in Distributed Quantum Computing 2019 Angela Sara Cacciapuoti
Marcello Caleffi
F. Tafuri
F. S. Cataliotti
Stefano Gherardini
Giuseppe Bianchi
2
+ PDF Chat Definitions and Security of Quantum Electronic Voting 2021 Myrto Arapinis
Nikolaos Lamprou
Elham Kashefi
Anna Pappa
2
+ iDLG: Improved Deep Leakage from Gradients 2020 Bo Zhao
Konda Reddy Mopuri
Hakan Bilen
2
+ PDF Chat Quantum Fingerprinting 2001 Harry Buhrman
Richard Cleve
John Watrous
Ronald de Wolf
2
+ PDF Chat Quantum cryptography 2002 Nicolas Gisin
G. Ribordy
Wolfgang Tittel
Hugo Zbinden
2
+ PDF Chat Parameterized quantum circuits as machine learning models 2019 Marcello Benedetti
Erika Lloyd
Stefan Sack
Mattia Fiorentini
2
+ PDF Chat Towards a distributed quantum computing ecosystem 2020 Daniele Cuomo
Marcello Caleffi
Angela Sara Cacciapuoti
2
+ PDF Chat Quantum federated learning through blind quantum computing 2021 Weikang Li
Sirui Lu
Dong-Ling Deng
2
+ The BOBYQA algorithm for bound constrained optimization without derivatives 2009 M. J. D. Powell
1
+ A Quantum Algorithm for Finding the Minimum 1996 Christoph Dürr
Peter Høyer
1
+ Lie Groups Beyond an Introduction 1996 Anthony W. Knapp
1
+ Quantum amplitude amplification and estimation 2002 Gilles Brassard
Peter Høyer
Michele Mosca
Alain Tapp
1
+ Inequalities for a polynomial and its derivative 1988 Abdul Aziz
Q. M. Dawood
1
+ PDF Chat Integration with Respect to the Haar Measure on Unitary, Orthogonal and Symplectic Group 2006 C. Benoît
Piotr Śniady
1
+ Analytic Theory of Polynomials 2002 Q I Rahman
Gerhard Schmeißer
1
+ PDF Chat Landscape statistics of the low-autocorrelation binary string problem 2000 Fernando F. Ferreira
José F. Fontanari
Peter F. Stadler
1
+ Quantum circuit learning 2018 Kosuke Mitarai
Makoto Negoro
Masahiro Kitagawa
Keisuke Fujii
1
+ Inequalities for the derivative of a polynomial 2002 K. K. Dewan
Jagjeet Kaur
Abdullah Mir
1
+ PDF Chat Deterministic teleportation of a quantum gate between two logical qubits 2018 Kevin Chou
Jacob Blumoff
Christopher S. Wang
Philip Reinhold
Christopher Axline
Yvonne Y. Gao
Luigi Frunzio
Michel Devoret
Liang Jiang
Robert Schoelkopf
1