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ORCIDNiraj Kumar 0005
Person information
- affiliation: University of Edinburgh, Edinburgh, UK
Other persons with the same name
- Niraj Kumar — disambiguation page
- Niraj Kumar 0001 — IIIT-Hyderabad, India
- Niraj Kumar 0002
![[0000-0002-7918-5188]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-7918-5188")
— University of Liverpool, Management School, UK (and 2 more) - Niraj Kumar 0003 — IIIT-Allahabad, India
- Niraj Kumar 0004 — IIT Patna, Patna, India
- Niraj Kumar 0006 — University of Massachusetts Boston, MA, USA
- Niraj Kumar 0007 — IIT Delhi, Delhi, India
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2020 – today
- 2024
[c1]Zichang He, Shouvanik Chakrabarti, Dylan Herman, Niraj Kumar, Changhao Li, Pierre Minssen, Pradeep Niroula, Ruslan Shaydulin, Yue Sun, Shree Hari Sureshbabu, Romina Yalovetzky, Marco Pistoia:
Invited: Challenges and Opportunities of Quantum Optimization in Finance. DAC 2024: 362:1-362:4- [i12]Jamie Heredge, Niraj Kumar, Dylan Herman, Shouvanik Chakrabarti, Romina Yalovetzky, Shree Hari Sureshbabu, Changhao Li, Marco Pistoia:
Prospects of Privacy Advantage in Quantum Machine Learning. CoRR abs/2405.08801 (2024) - [i11]Romina Yalovetzky, Niraj Kumar, Changhao Li, Marco Pistoia:
QC-Forest: a Classical-Quantum Algorithm to Provably Speedup Retraining of Random Forest. CoRR abs/2406.12008 (2024) - 2023
- [i10]Ruslan Shaydulin, Changhao Li, Shouvanik Chakrabarti, Matthew DeCross, Dylan Herman, Niraj Kumar, Jeffrey Larson, Danylo Lykov, Pierre Minssen, Yue Sun, Yuri Alexeev, Joan M. Dreiling, John P. Gaebler, Thomas M. Gatterman, Justin A. Gerber, Kevin Gilmore, Dan Gresh, Nathan Hewitt, Chandler V. Horst, Shaohan Hu, Jacob Johansen, Mitchell Matheny, Tanner Mengle, Michael Mills, Steven A. Moses, Brian Neyenhuis, Peter Siegfried, Romina Yalovetzky, Marco Pistoia:
Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem. CoRR abs/2308.02342 (2023) - [i9]Niraj Kumar, Romina Yalovetzky, Changhao Li, Pierre Minssen, Marco Pistoia:
Des-q: a quantum algorithm to construct and efficiently retrain decision trees for regression and binary classification. CoRR abs/2309.09976 (2023) - [i8]Niraj Kumar, Jamie Heredge, Changhao Li, Shaltiel Eloul, Shree Hari Sureshbabu, Marco Pistoia:
Expressive variational quantum circuits provide inherent privacy in federated learning. CoRR abs/2309.13002 (2023) - [i7]Changhao Li, Boning Li, Omar Amer, Ruslan Shaydulin, Shouvanik Chakrabarti, Guoqing Wang, Haowei Xu, Hao Tang, Isidor Schoch, Niraj Kumar, Charles Lim, Ju Li, Paola Cappellaro, Marco Pistoia:
Blind quantum machine learning with quantum bipartite correlator. CoRR abs/2310.12893 (2023) - [i6]Changhao Li, Niraj Kumar, Zhixin Song, Shouvanik Chakrabarti, Marco Pistoia:
Privacy-preserving quantum federated learning via gradient hiding. CoRR abs/2312.04447 (2023) - 2022
- [j2]Nishant Jain, Brian Coyle, Elham Kashefi, Niraj Kumar:
Graph neural network initialisation of quantum approximate optimisation. Quantum 6: 861 (2022) - 2021
- [i5]Mina Doosti, Niraj Kumar, Elham Kashefi, Kaushik Chakraborty:
On the Connection Between Quantum Pseudorandomness and Quantum Hardware Assumptions. CoRR abs/2110.11724 (2021) - [i4]Nishant Jain, Brian Coyle, Elham Kashefi, Niraj Kumar:
Graph neural network initialisation of quantum approximate optimisation. CoRR abs/2111.03016 (2021) - 2020
- [i3]Mina Doosti, Niraj Kumar, Mahshid Delavar, Elham Kashefi:
Client-Server Identification Protocols with Quantum PUF. CoRR abs/2006.04522 (2020) - [i2]Brian Coyle, Maxwell Henderson, Justin Chan Jin Le, Niraj Kumar, Marco Paini, Elham Kashefi:
Quantum versus Classical Generative Modelling in Finance. CoRR abs/2008.00691 (2020) - [i1]Brian Coyle, Mina Doosti, Elham Kashefi, Niraj Kumar:
Variational Quantum Cloning: Improving Practicality for Quantum Cryptanalysis. CoRR abs/2012.11424 (2020)
2010 – 2019
- 2019
- [j1]Niraj Kumar:
Practically Feasible Robust Quantum Money with Classical Verification. Cryptogr. 3(4): 26 (2019)
Coauthor Index
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