Global Technology Applied Research

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

Quantum Machine Learning for Finance
Marco Pistoia, Syed Farhan Ahmad, Akshay Ajagekar, Alexander Buts, Shouvanik Chakrabarti, Dylan Herman, Shaohan Hu, Andrew Jena, Pierre Minssen, Pradeep Niroula, Arthur Rattew, Yue Sun, Romina Yalovetzky
Proceedings of the 40th IEEE/ACM International Conference on Computer Aided Design (ICCAD), Munich, Germany. Invited Special Session Paper, November 2021

Driver Behavior-aware Parking Availability Crowdsensing System Using Truth Discovery
Yi Zhu (SUNY Buffalo), Abhishek Gupta (SUNY Buffalo), Shaohan Hu, Weida Zhong (SUNY Buffalo), Lu Su (Purdue University), Chunming Qiao (SUNY Buffalo)
ACM Transactions on Sensor Networks, Volume 17, Issue 4, Article No. 41, November 2021

On the Exponential Sample Complexity of the Quantum State Sign Estimation Problem
Arthur Rattew, Marco Pistoia
arXiv:2108.03193, August 2021

Computational Investigations of the Lithium Superoxide Dimer Rearrangement on Noisy Quantum Devices
Qi Gao (Mitsubishi Chemical), Hajime Nakamura (Keio University), Tanvi P. Gujarati (IBM), Gavin O. Jones (IBM), Julia E. Rice (IBM), Stephen P. Wood (IBM), Marco Pistoia, Jeannette M. Garcia (IBM), Naoki Yamamoto (Keio University)
Journal of Physical Chemistry A, 125, 9, 1827–1836, February 2021

Foundational Patterns for Efficient Quantum Computing
Austin Gilliam, Charlene Venci, Sreraman Muralidharan, Vitaliy Dorum, Eric May, Rajesh Narasimhan, Constantin Gonciulea
arXiv:1907.11513, January 2021

The Efficient Preparation of Normal Distributions in Quantum Registers
Arthur Rattew, Yue Sun, Pierre Minssen, Marco Pistoia
Quantum 5, 609 (2021)

Grover Adaptive Search for Constrained Polynomial Binary Optimization
Austin Gilliam, Stefan Woerner (IBM), Constantin Gonciulea
Quantum 5, 428 (2021)

Clifford Circuit Optimization with Templates and Symbolic Pauli Gates
Sergey Bravyi (IBM), Ruslan Shaydulin (Argonne National Laboratory), Shaohan Hu, Dmitri Maslov (IBM)
Quantum 5, 580 (2021)

Quantum Equation of Motion for Computing Molecular Excitation Energies on a Noisy Quantum Processor
Pauline J. Ollitrault (ETH Zūrich, IBM), Abhinav Kandala (IBM), Chun-Fu Chen, Panagiotis Kl. Barkoutsos (IBM), Antonio Mezzacapo (IBM), Marco Pistoia, Sarah Sheldon (IBM), Stefan Woerner (IBM), Jay Gambetta (IBM), Ivano Tavernelli (IBM)
Physical Review Research, Vol. 2, Issue 4, October-December 2020

Parallelization of Classical Numerical Optimization in Quantum Variational Algorithms

Marco Pistoia, Peng Liu (Google), Richard Chen, Shaohan Hu, Stephen Wood (IBM)
Proceedings of the 2020 13th IEEE Conference on Software Testing, Validation and Verification (ICST), Porto, Portugal, October 2020

Reducing Qubit Requirements for Quantum Simulations Using Molecular Point Group Symmetries
Kanav Setia (Dartmouth College), Richard Chen, Julia E. Rice (IBM), Antonio Mezzacapo (IBM), Marco Pistoia, James D. Whitfield (Dartmouth College)
Journal of Chemical Theory and Computation, Vol. 16, Issue 10, August 2020.

Optimizing Quantum Search with a Binomial Version of Grover's Algorithm
Austin Gilliam, Marco Pistoia, Constantin Gonciulea
arXiv:2007.10894, July 2020

Canonical Construction of Quantum Oracles
Austin Gilliam, Marco Pistoia, Constantin Gonciulea
arXiv:2006.10656, June 2020

Exploiting Molecular Point Group Symmetries for Quantum Simulation
Kanav Setia (Dartmouth College), James D Whitfield (Dartmouth College), Antonio Mezzacapo (IBM), Julia Rice (IBM), Marco Pistoia, Richard Chen
Bulletin of the American Physical Society, Vol. 65, No. 1, APS March Meeting, Denver, CO, USA, March 2020

Quantum Orbital-Optimized Unitary Coupled Cluster Methods in the Strongly Correlated Regime: Can Quantum Algorithms Outperform Their Classical Equivalents?
Igor O. Sokolov (IBM), Panagiotis Kl. Barkoutsos (IBM), Pauline J. Ollitrault (ETH Zūrich, IBM), Donny Greenberg (IBM), Julia Rice (IBM), Marco Pistoia, Ivano Tavernelli (IBM)
The Journal of Chemical Physics, Vol. 152, No. 12, March 2020

A Domain-agnostic, Noise-resistant, Hardware-efficient Evolutionary Variational Quantum Eigensolver
Arthur G. Rattew, Shaohan Hu, Marco Pistoia, Richard Chen, Steve Wood (IBM)
arXiv:1910.09694, January 2020

Option Pricing using Quantum Computers
Nikitas Stamatopoulos, Daniel J. Egger (IBM), Yue Sun, Christa Zoufal (ETH Zürich, IBM), Raban Iten (ETH Zürich, IBM), Ning Shen, and Stefan Woerner (IBM)
Quantum 4, 291 (2020)

Learn Quantum Computation Using Qiskit
Amira Abbas (IBM), Stina Andersson (IBM), Abraham Asfaw (IBM), Antonio Corcoles (IBM), Luciano Bello (IBM), Yael Ben-Haim (IBM), Mehdi Bozzo-Rey (IBM), Sergey Bravyi (IBM), Nicholas Bronn (IBM), Lauren Capelluto (IBM), Almudena Carrera Vazquez (IBM), Jack Ceroni (IBM), Richard Chen, Albert Frisch (IBM), Jay Gambetta (IBM), Shelly Garion (IBM), Leron Gil (IBM), Salvador De La Puente Gonzalez (IBM), Francis Harkins (IBM), Takashi Imamichi (IBM), Pavan Jayasinha (IBM), Hwajung Kang (IBM), Amir h. Karamlou (IBM), Robert Loredo (IBM), David McKay (IBM), Alberto Maldonado (IBM), Antonio Macaluso (IBM), Antonio Mezzacapo (IBM), Zlatko Minev (IBM), Ramis Movassagh (IBM), Giacomo Nannicini (IBM), Paul Nation (IBM), Anna Phan (IBM), Marco Pistoia, Arthur Rattew (IBM), Joachim Schaefer (IBM), Javad Shabani (IBM), John Smolin (IBM), John Stenger (IBM), Kristan Temme (IBM), Madeleine Tod (IBM), Ellinor Wanzambi (IBM), Stephen Wood (IBM), James Wootton (IBM).
Electronic book, Qiskit Open Source Community, 2020.