Romina Yalovetzky
Vice President, Applied Research Lead on Quantum Computing
Global Technology Applied Research,
JPMorgan Chase & Co,
New York, United States.
Licenciada in Physics, University of Buenos Aires, Argentina.
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About Me
About Me
I am a researcher on quantum computing, working at the Global Technology Applied Research (GTAR) centre (link) at JPMorgan Chase & Co in New York City. My focus is on applying techniques from quantum computation to tackle machine learning and optimization tasks. I have been in this role since 2021. This is my Google Scholar profile. I am also a part-time student at the master in Computer Science at Courant institute, New York University.
News:
Our paper "Quantum Compilation Toolkit for Rydberg Atom Arrays with Implications for Problem Hardness and Quantum Speedups" with Amazon Web Services has just been published at the APS Physical Review Research journal.
Two patents applications involved in the development of Hybrid HHL++ (paper) have been granted:
Systems and methods for enhanced eigenvalue inversion using quantum conditional logic (US20220382827A1)
Systems and methods for optimization of time evolution for quantum computer-based eigenvalue estimation (US20220382830A1)
More about me:
Prior to my current role, I worked as a software developer during two years at JPMorgan Chase & Co in Buenos Aires, Argentina. I have a "Licenciatura" degree, equivalent to a bachelor and master degee, in Physics by the University of Buenos Aires, Argentina. I did an internship at CERN in 2017 where I worked on the tuning of the Cellular Automaton parameters for the Phase 1 track seeding at the CMS experiment (report here). I graduated in 2019 with honors for my outstanding academic performance. My thesis was in computational physics where I studied and benchmarked dimensionality reduction techniques appplied to single-cell studies using both simulated and experimental data. Find manuscript here.
Contact me: romina.yalovetzky@jpmorgan.com / rominayal@gmail.com
Publications
Publications
A Unified Framework for Provably Efficient Algorithms to Estimate Shapley Values (2025)
Tyler Chen*, Akshay Seshadri*, Mattia J. Villani*, Pradeep Niroula, Shouvanik Chakrabarti, Archan Ray, Pranav Deshpande, Romina Yalovetzky, Marco Pistoia, and Niraj Kumar
arXiv:2506.05216 (under submission)
* contributed equally
qReduMIS: A Quantum-Informed Reduction Algorithm for the Maximum Independent Set Problem (2025)
Martin J.A. Schuetz*, Romina Yalovetzky*, Ruben S. Andrist, Grant Salton, Yue Sun, Rudy Raymond, Shouvanik Chakrabarti, Atithi Acharya, Ruslan Shaydulin, Marco Pistoia, Helmut G. Katzgraber
https://arxiv.org/abs/2503.12551 (under submission)
* contributed equally
Quantum Compilation Toolkit for Rydberg Atom Arrays with Implications for Problem Hardness and Quantum Speedups (2024)
Martin J.A. Schuetz, Ruben S. Andrist, Grant Salton, Romina Yalovetzky, Rudy Raymond, Yue Sun, Atithi Acharya, Shouvanik Chakrabarti, Marco Pistoia, and Helmut G. Katzgraber Physical Review Research, 7(3), 033107.
https://arxiv.org/abs/2412.14976
Invited: Challenges and Opportunities of Quantum Optimization in Finance (2024)
Zichang He, Shouvanik Chakrabarti, Dylan Herman, Niraj Kumar, Changhao Li, Pierre Minssen, Pradeep Niroula, Ruslan Shaydulin, Yue Sun, Shree Hari Sureshbabu, Romina Yalovetzky, and Marco Pistoia
In Proceedings of the 61st ACM/IEEE Design Automation Conference (pp. 1-4).
Decomposition Pipeline for Large-Scale Portfolio Optimization with Applications to Near-Term Quantum Computing (2024)
Atithi Acharya, Romina Yalovetzky, Pierre Minssen, Shouvanik Chakrabarti, Ruslan Shaydulin, Rudy Raymond, Yue Sun, Dylan Herman, Ruben S. Andrist, Grant Salton, Martin J.A. Schuetz, Helmut G. Katzgraber, and Marco Pistoia
Physical Review Research, 7(2), 023142
QC-Forest: A Classical-Quantum Algorithm to Provably Speedup Retraining of Random Forest (2024)
Romina Yalovetzky, Niraj Kumar, Changhao Li, Marco Pistoia
https://arxiv.org/abs/2406.12008 (under submission)
Prospects of Privacy Advantage in Quantum Machine Learning (2024)
Jamie Heredge, Niraj Kumar, Dylan Herman, Shouvanik Chakrabarti, Romina Yalovetzky, Shree Hari Sureshbabu, Marco Pistoia
npj Quantum Information, 11(1), 80
arXiv:2405.08801
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
Quantum 9, 1588 (2025)
arXiv:2309.09976
Talk at the 2024 APS March Meeting, Minneapolis, MN
Poster at 2023 QTML, Geneva, Switzerland
* contributed equally
Characterizing Barren Plateaus in Quantum Ansätze with the Adjoint Representation (2023)
Enrico Fontana, Dylan Herman, Shouvanik Chakrabarti, Niraj Kumar, Romina Yalovetzky, Jamie Heredge, Shree Hari Sureshbabu, Marco Pistoia
Nature Communications, 15, 7171
Talk at 2024 QIP
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, 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
Science Advances, 10(22), eadm6761
Oral presentation at 2023 IEEE Quantum Week, Bellevue, USA
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, Marco Pistoia, Helmut G. Katzgraber
Physical Review Research, 5, 043277
Oral presentation at 2023 AWS & QuEra Re:Invent, Las Vegas
* contributed equally
Quantum Deep Hedging (2023)
El Amine Cherrat, Snehal Raj, Iordanis Kerenidis, Abhishek Shekhar, Ben Wood, Jon Dee, Shouvanik Chakrabarti, Richard Chen, Dylan Herman, Shaohan Hu, Pierre Minssen, Ruslan Shaydulin, Yue Sun, Romina Yalovetzky, Marco Pistoia
Quantum, 7, 1191
Quantum Views, 7, 77
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
Scientific Reports, 12(1), 17171
Top 100 in Physics - 2022
Talks at 2023 QIP (Ghent), APS (Las Vegas), IEEE Quantum Week (Phoenix), Quantum Latino
* contributed equally
Universal Quantum Speedup for Branch-and-Bound, Branch-and-Cut, and Tree-Search Algorithms (2022)
Shouvanik Chakrabarti, Pierre Minssen, Romina Yalovetzky, Marco Pistoia
https://arxiv.org/abs/2210.03210
Talks at 2023 APS March Meeting and INFORMS, Phoenix
Constrained Optimization via Quantum Zeno Dynamics (2022)
Dylan Herman, Ruslan Shaydulin, Yue Sun, Shouvanik Chakrabarti, Shaohan Hu, Pierre Minssen, Arthur Rattew, Romina Yalovetzky, Marco Pistoia
Nature Communications Physics, 6(1), 219
Solving Linear Systems on Quantum Hardware with Hybrid HHL++ (2021)
Romina Yalovetzky, Pierre Minssen, Dylan Herman, Marco Pistoia
Scientific Reports, 14, 20610
Talks at 2022 APS, 2022 QIP, Kenan Institute Seminar, and 2023 INFORMS
Quantum Machine Learning for Finance – ICCAD Special Session Paper (2021)
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
ICCAD, IEEE/ACM International Conference On Computer Aided Design, 1–9
https://arxiv.org/abs/2109.04298
Patents Granted
Patents Granted
Systems and Methods for Enhanced Eigenvalue Inversion Using Quantum Conditional Logic (2022)
R. Yalovetzky, D. Herman, P. Minssen, M. Pistoia, B. Alexander, S. Hu
US Patent No. 12,259,942 B2
Systems and Methods for Optimization of Time Evolution for Quantum Computer-Based Eigenvalue Estimation (2022)
P. Minssen, R. Yalovetzky, D. Herman, M. Pistoia, B. Alexander, S. Hu
US Patent No. 12,242,562 B2
Patents Filled
Patents Filled
Systems and Methods for Decision Tree Construction and Update Using Quantum Algorithms (2025)
R. Yalovetzky, N. Kumar, C. Li, M. Pistoia
US Patent App. 18/448,662
Systems and Methods for Hybrid Classical-Quantum Optimization Using Random Matrix Theory-Based Subproblem Identification on Correlation Matrices (2025)
A. Acharya, R. Shaydulin, S. Chakrabarti, D. Herman, P. Minssen, Y. Sun, R. Yalovetzky, M. Pistoia
US Patent App. 18/462,187
Systems and Methods for Quantum Computing-Assisted Portfolio Selection (2023)
A. Ajagekar, P. Minssen, R. Yalovetzky, M. Pistoia
US Patent App. 17/653,258
Systems and Methods for Implementing Quantum Branch-and-Bound Algorithms with Heuristics (2023)
S. Chakrabarti, P. Minssen, R. Yalovetzky, M. Pistoia
US Patent App. 17/648,054
Systems and Methods for Quantum Computing-Based Extractive Summarization (2023)
P. Niroula, R. Yalovetzky, P. Minssen, D. Herman, M. Pistoia, S. Hu
US Patent App. 17/647,311
Media Articles
Media Articles
Blog post of how to solve quantum linear equations on hardware for portfolio optimization (link)
Blog post by AWS about our work together on the prospects for quantum speedups with near-term Rydberg atom arrays (link)
Blog Post by JPMorgan Chase on "JPMorgan Chase and QC Ware Evolve Hedging for a Quantum Future" (link)
Forbes article on "JPMorgan Chase And QC Ware Collaborate On Quantum Finance Breakthrough In Deep Hedging" (link)
HPCwire article on "JPMorgan Chase and QC Ware reported progress in quantum DL for Deep Hedging" (link)
The Quantum Insider on "JP Morgan Chase Bank Research Team Brings Portfolio Optimization A Step Closer In NISQ Era" (link)
Service
Service
Reviewer in Quantum Information Processing
Reviewer in Nature Scientific Reports
Reviewer in EPJ Quantum Technology
Reviewer in Physica Scripta of IOP
Speaker and judge at the NYC Haq https://nyc-haq.org/
Program Committee of the applications track for the 2024 IEEE Quantum Week, Montréal, Québec, Canada.
Program Committee of the quantum machine learning track for the 2024 IEEE Quantum Week, Montréal, Québec, Canada.
Session chair, 2023 APS March Meeting, Las Vegas, USA.
Participation in Non-Academic Activities
Participation in Non-Academic Activities
Panel about women in quantum computing, part of the 2022 Quantum Latino event (link).
Presentations and Talks
Presentations and Talks
Presentation to AmCham Argentina about Quantum Computing and its applications to Finance (08/20/2024)
Work Experience
Work Experience
Feb 2024 - current Vice President Lead Applied Researcher on Quatum Computing
Global Technology Applied Research
JPMorgan Chase
Feb 2022 - Feb 2024 Senior Associate Applied Researcher on Quantum Computing
Global Technology Applied Research
JPMorgan Chase
Apr 2021 - Feb 2022 Associate Applied Researcher on Quantum Computing
Global Technology Applied Research
JPMorgan Chase
Feb 2021 - Apr 2021 Associate Software Developer
JPMorgan Chase
Sep 2018 - Feb 2021 Analyst Software Developer
JPMorgan Chase
Mar 2018 - Mar 2019 Undergraduate Teaching Assistant
School of Science, University of Buenos Aires (UBA)
Course: Physics Lab
Sep 2017 - Aug 2018 Resercher intern
Research project in which we studied the mechanical response of the tyre to an impact made by an instrummented hammer at the lab. We studied the type in isolation and inside the vehicle.
Work presented in a poster at the 2018 annual meeting of the Argentinian Physical Society (Asociación Argentina de Física)
R&D department at the tyre company FATE SAICI. Find reports here.
Buenos Aires, Argentina
Jun 2017 - Aug 2017 Summer Student
Research project at the CMS experiment under the supervision of Felice Pantaleo. The work is "Tuning of the Cellular Automaton Parameters for the Phase 1 Track Seeding at the CMS Experiment" (find report here)
Oral presentation at the 2017 annual meeting of the Argentinian Physical Society (Asociación Argentina de Física)
CERN
Geneve, Switzerland
Mar 2017 - Mar 2018 Scientific Promoter
School of Science, University of Buenos Aires (UBA)
Education
Education
Mar 2014 - Jun 2019 Bachelor and Master in Physics
University of Buenos Aires, Argentina
Graduated with honors, I obtained the honors diploma by the University of Buenos Aires for outstanding academic performance.
Grade: 8.9/10
Mar 2008 - Dec 2013 High School Diploma in Science and Engineering
Colegio Nacional de Buenos Aires
University of Buenos Aires, Argentina
Graduated with honors, I obtained the gold medal by the University of Buenos Aires for outstanding academic performance in Math.
Awards
Awards
JPMorgan Chase & Co. Prolific Inventor, 2024.
Code and Data Released
Code and Data Released
Code repository of qReduMIS "qReduMIS: A Quantum-Informed Reduction Algorithm for the Maximum Independent Set Problem" https://github.com/jpmorganchase/qReduMIS
Code repository of the quantum compilation technique for Rydberg atoms "Quantum Compilation Toolkit for Rydberg Atom Arrays with Implications for Problem Hardness and Quantum Speedups" https://github.com/jpmorganchase/embedder
Code repository of the decomposition pipeline "Decomposition pipeline for large-scale portfolio optimization with applications to near-term quantum computing" https://github.com/jpmorganchase/dcmppln
Data and code for "QC-Forest: a Classical-Quantum Algorithm to Provably Speedup Retraining of Random Forest" link
Data and code for "Des-q: a quantum algorithm to construct and efficiently retrain decision trees for regression and binary classification" (link)
Code repository for paper "Hardness of the Maximum Independent Set Problem on Unit-Disk Graphs and Prospects for Quantum Speedups" https://github.com/jpmorganchase/hardness-of-mis-on-udg
Data from "Constrained Quantum Optimization for Extractive Summarization on a Trapped-ion Quantum Computer" (link)
Photos and Videos
Photos and Videos
2023 APS March meeting, Las Vegas, USA.
2023 IEEE Quantum Week, Bellevue, USA.
2024APS_Testimonial_Romina_Edit2.mp4My experiencie as an APS member
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