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ORCIDMarco Pistoia
- > Home > Persons > Marco Pistoia
Publications
- 2025
[j19]Minzhao Liu
, Ruslan Shaydulin, Pradeep Niroula, Matthew DeCross, Shih-Han Hung, Wen Yu Kon, Enrique Cervero Martín, Kaushik Chakraborty, Omar Amer, Scott Aaronson, Atithi Acharya, Yuri Alexeev, K. Jordan Berg, Shouvanik Chakrabarti, Florian J. Curchod, Joan M. Dreiling, Neal Erickson, Cameron Foltz, Michael Foss-Feig, David Hayes, Travis S. Humble, Niraj Kumar, Jeffrey Larson, Danylo Lykov, Michael Mills, Steven A. Moses, Brian Neyenhuis, Shaltiel Eloul, Peter Siegfried, James Walker, Charles Lim, Marco Pistoia:
Certified randomness using a trapped-ion quantum processor. Nat. 640(8058): 343-348 (2025)- [j18]Niraj Kumar, Romina Yalovetzky, Changhao Li, Pierre Minssen, Marco Pistoia:
Des-q: a quantum algorithm to provably speedup retraining of decision trees. Quantum 9: 1588 (2025) - [i43]Omar Amer, Shouvanik Chakrabarti, Kaushik Chakraborty, Shaltiel Eloul, Niraj Kumar, Charles Lim, Minzhao Liu, Pradeep Niroula, Yash Satsangi, Ruslan Shaydulin, Marco Pistoia:
Applications of Certified Randomness. CoRR abs/2503.19759 (2025) - [i42]Minzhao Liu, Ruslan Shaydulin, Pradeep Niroula, Matthew DeCross, Shih-Han Hung, Wen Yu Kon, Enrique Cervero Martín, Kaushik Chakraborty, Omar Amer, Scott Aaronson, Atithi Acharya, Yuri Alexeev, K. Jordan Berg, Shouvanik Chakrabarti, Florian J. Curchod, Joan M. Dreiling, Neal Erickson, Cameron Foltz, Michael Foss-Feig, David Hayes, Travis S. Humble, Niraj Kumar, Jeffrey Larson, Danylo Lykov, Michael Mills, Steven A. Moses, Brian Neyenhuis, Shaltiel Eloul, Peter Siegfried, James Walker, Charles Lim, Marco Pistoia:
Certified randomness using a trapped-ion quantum processor. CoRR abs/2503.20498 (2025) - [i40]Zhiwei Zhang, Jiayu Shen, Niraj Kumar, Marco Pistoia:
New Improvements in Solving Large LABS Instances Using Massively Parallelizable Memetic Tabu Search. CoRR abs/2504.00987 (2025) - [i38]Georgios Papadopoulos, Shaltiel Eloul, Yash Satsangi, Jamie Heredge, Niraj Kumar, Chun-Fu Chen, Marco Pistoia:
A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks. CoRR abs/2504.12806 (2025) - [i37]Tyler Chen, Archan Ray, Akshay Seshadri, Dylan Herman, Bao Bach, Pranav Deshpande, Abhishek Som, Niraj Kumar, Marco Pistoia:
Provably faster randomized and quantum algorithms for k-means clustering via uniform sampling. CoRR abs/2504.20982 (2025) - 2024
- [c62]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 - [i34]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) - [i30]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
- [d1]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:
Code from "Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem". Zenodo, 2023
- [i19]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) - [i17]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) - [i16]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) - [i15]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) - [i14]Changhao Li, Niraj Kumar, Zhixin Song, Shouvanik Chakrabarti, Marco Pistoia:
Privacy-preserving quantum federated learning via gradient hiding. CoRR abs/2312.04447 (2023)
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