Procedural Image Programs for Representation Learning
Manel Baradad, Richard Chen, Jonas Wulff, Tongzhou Wang, Rogerio Feris, Antonio Torralba, Phillip Isola 31 Oct 2022
Recognition of Intersection Traffic Regulations from Crowdsourced Data
Stefania Zourlidou , Monika Sester, Shaohan Hu, December 2022
Exploiting In-Constraint Energy in Constrained Variational Quantum Optimization
Tianyi Hao (University of Wisconsin-Madison & Argonne National Laboratory), Ruslan Shaydulin, Marco Pistoia, and Jeffrey Larson (Argonne National Laboratory)
arXiv:2211.07016, November 2022
Numerical evidence against advantage with quantum fidelity kernels on classical data Lucas Slattery (UIUC), Ruslan Shaydulin, Shouvanik Chakrabarti, Marco Pistoia, Sami Khairy (Argonne National Laboratory), and Stefan M. Wild (Argonne National Laboratory)
arXiv:2211.16551, November 2022
A Convergence Theory for Over-parameterized Variational Quantum Eigensolvers
Xuchen You, Shouvanik Chakrabarti, Xiaodi Wu
arXiv:2210.03210, October 2022
Universal Quantum Speedup for Branch-and-Bound, Branch-and-Cut, and Tree-Search Algorithms
Shouvanik Chakrabarti, Pierre Minssen,, Romina Yalovetzky, Marco Pistoia arXiv preprint
arXiv:2210.03210, October 2022
Portfolio Optimization via Quantum Zeno Dynamics on a Quantum Processor
D Herman, R Shaydulin, Y Sun, S Chakrabarti, S Hu, P Minssen, A Rattew, R Yalovetzky, M Pistoia
arXiv preprint arXiv:2209.15024, September 2022
Multi-Angle QAOA Does Not Always Need All Its Angles
Ruslan Shaydulin, Marco Pistoia, Shouvanik Chakrabarti, Rebekah Herrman (University of Tennessee at Knoxville), Kaiyan Shi (Argonne National Laboratory and Maryland U., College Park), Jeffrey Larson (Argonne National Laboratory)
arXiv:2209.11839, September 2022
Utility-Preserving Biometric Information Anonymization
Bill Moriarty, Chun-Fu Chen, Shaohan Hu, Sean Moran, Marco Pistoia, Vincenzo Piuri (University of Milan), Pierangela Samarati (University of Milan). To appear in the proceedings of the 27th European Symposium on Research in Computer Security (ESORICS), Copenhagen, Denmark, September 2022
To appear in the proceedings of the 27th European Symposium on Research in Computer Security (ESORICS), Copenhagen, Denmark, September 2022
A Device-Independent Quantum Key Distribution System for Distant Users
Charles C.-W. Lim, Wei Zhang (MCQST), Tim van Leent (MCQST), Kai Redeker (MCQST), Robert Garthoff (MCQST), René Schwonnek (NUS), Florian Fertig (MCQST), Sebastian Eppelt (MCQST), Wenjamin Rosenfeld (MCQST), Valerio Scarani (NUS), Harald Weinfurter (MCQST)
Nature 607, 687–691 (2022)
Bandwidth Enables Generalization in Quantum Kernel Models
Ruslan Shaydulin, Abdulkadir Canatar (Harvard University), Evan Peters (University of Waterloo), Cengiz Pehlevan (Harvard University), Stefan M. Wild (Argonne National Laboratory) arxiv:2206.06686, June 2022
Constrained Quantum Optimization for Extractive Summarization on a Trapped-ion Quantum Computer
Pradeep Niroula, Ruslan Shaydulin, Romina Yalovetzky, Pierre Minssen, Dylan Herman, Shaohan Hu, Marco Pistoia arXiv:2206.06290, June 2022
Quantum Error Mitigation by Pauli Check Sandwiching
Ruslan Shaydulin, Alvin Gonzales (Argonne National Laboratory), Zain Saleem (Argonne National Laboratory), Martin Suchara (Argonne National Laboratory)
arXiv:2206.00215, June 2022
Importance of Kernel Bandwidth in Quantum Machine Learning
Ruslan Shaydulin, Stefan M. Wild (Argonne National Laboratory)
arXiv:2111.05451, June 2022
Expressivity of Variational Quantum Machine Learning on the Boolean Cube
Dylan Herman, Rudy Raymond, Muyuan Li, Nicolas Robles, Antonio Mezzacapo, Marco Pistoia
arXiv:2204.05286, April 2022
RegionViT: Regional-to-Local Attention for Vision Transformers
Chun-Fu (Richard) Chen, Rameswar Panda (MIT-IBM Watson AI Lab), Quanfu Fan (MIT-IBM Watson AI Lab)
International Conference on Learning Representations (ICLR), April 2022
Can an Image Classifier Suffice For Action Recognition?
Chun-Fu (Richard) Chen, Quanfu Fan (MIT-IBM Watson AI Lab), Rameswar Panda (MIT-IBM Watson AI Lab)
International Conference on Learning Representations (ICLR), April 2022
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data
Chun-Fu (Richard) Chen, Samarth Mishra (Boston University), Rameswar Panda (MIT-IBM Watson AI Lab), Cheng Perng Phoo (Cornell University), Leonid Karlinsky (IBM Research), Kate Saenko (Boston University, MIT-IBM Watson AI Lab) , Venkatesh Saligrama (Boston University), Rogerio S. Feris (MIT-IBM Watson AI Lab)
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), March 2022
VALHALLA: Visual Hallucination for Machine Translation
Chun-Fu (Richard) Chen, Yi Li (UC San Diego), Rameswar Panda (MIT-IBM Watson AI Lab), Yoon Kim (MIT CSAIL), Rogerio Feris (MIT-IBM Watson AI Lab), David Cox (MIT-IBM Watson AI Lab), Nuno Vasconcelos (UC San Diego),
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), March 2022
NISQ-HHL: Portfolio Optimization for Near-Term Quantum Hardware
Romina Yalovetzky, Pierre Minssen, Dylan Herman, Marco Pistoia
Bulletin of the American Physical Society, Vol. 67, No. 1, APS March Meeting, Chicago, IL, USA, March 2022
25th Annual Conference on Quantum Information Processing (QIP 2022), California Institute of Technology, Pasadena, CA, USA, March 2022
Paving the Way towards 800 Gbps Quantum-Secured Optical Channel Deployment in Mission-Critical Environments
Farzam Toudeh-Fallah, Marco Pistoia, Yasushi Kawakura (Toshiba), Navid Moazzami (Ciena), David H. Kramer, Robert I. Woodward (Toshiba), Greg Sysak (Ciena), Benny John, Omar Amer, Antigoni Polychroniadou, Jeffrey Lyon, Suresh Shetty, Tulasi D. Movva, Sudhir Upadhyay, Monik R. Behera, Joseph A. Dolphin (Toshiba), Paul A. Haigh (Toshiba), James F. Dynes (Toshiba), Andrew J. Shields (Toshiba)
arXiv:2202.07764, February 2022
High-Dimensional Quantum Conference Key Agreement
Omar Amer, Walter O. Krawec (University of Connecticut), IEEE International Symposium on Information Theory
arXiv:2202.00140, January 2022
A Survey of Quantum Computing for Finance
Dylan A. Herman, Cody Googin (University of Chicago), Xiaoyuan Liu (University of Delaware), Alexey Galda (Menten AI), Ilya Safro (University of Delaware), Yue Sun, Marco Pistoia, Yuri Alexeev (Argonne National Laboratory)
arXiv:2201.02773, January 2022