Sep 10th, 2025 NYC Quantum Computing In Person Meetup (w/teams option)


Details
Title: Application of Entropy Quantum Computing in Financial Fraud Detection
Abstract:
In this talk, we introduce Entropy Quantum Computing (EQC), a novel optimization paradigm that stabilizes quantum reservoirs into ground states to solve complex problems [1]. We present an experimental demonstration using a hybrid photonic-electronic platform that encodes photon qudits in the time-frequency domain and integrates electronic interconnects to realize arbitrary Hamiltonians. Benchmarking results from Quantum Computing Inc.’s latest EQC hardware, Dirac-3, show that entropy-based computing offers a scalable and flexible approach for solving a broad class of NP-hard optimization problems.
In the second part, we focus on applying EQC to credit card fraud detection [2]. We introduce Continuous Variable Quantum Boosting (CVQBoost), a new boosting algorithm tailored for EQC, and benchmark its performance against Extreme Gradient Boosting (XGBoost). Using synthetic datasets of up to 70 million samples, we demonstrate that CVQBoost on the Dirac-3 system provides competitive accuracy with significantly improved scalability, lower energy consumption, and greater potential for interpretability compared to traditional deep learning methods. These results establish CVQBoost as a compelling alternative for large-scale classification tasks.
The Dirac-3 hardware will be brought to the NY Quantum Meetup, where live demos will be conducted.
References
[1] Nguyen et al., arXiv:2407.04512.
[2] Emami et al., arXiv:2503.11273.
Bios:
The following QCi team members will be participating:
Wesley Dyk is a Senior Quantum Solutions Architect at Quantum Computing Inc (QCi). He holds a Master of Science degree in Applied Mathematics from the University of Colorado Denver. Wesley’s career has given him experience in various industries, across manufacturing, industrial, and oil & gas sectors. In his role at QCi, he is involved in the development of solutions built on optimization technology. Previously, he was cofounder of an analytics-focused startup which delivered successful solutions to industrial and energy customers. Wes is recognized for his interest in problem-solving and data-driven decision-making. He is a strong advocate for the use of technology to drive innovation and efficiency in various industries.
Mohammad-Ali Miri is a Scientific Advisor at Quantum Computing Inc (QCi) and an Associate Professor of Physics at the City University of New York (CUNY). His research interests encompass the broad areas of optics and photonics, integrated photonics, quantum computing, unconventional computing, optical computing and analog information processing. He has authored and coauthored over 200 publications in peer-reviewed journals and conference proceedings, which has received over 12,000 citations. At QCi he leads scientific computing efforts on developing methods and algorithms for efficiently using entropy quantum computing hardware for solving challenging optimization problems. He is a recipient of the Young Investigator Program (YIP) award of the Air Force Office of Scientific Research and the CUNY’s Junior Faculty Award funded by the Alfred P Sloan Foundation.
Lac Nguyen, PhD, is the Quantum Technology Lead at Quantum Computing Inc. She is leading a passionate team of scientists and engineers, she designs and develops resilient, SWAP-C capable, room-temperature, scalable, and sustainable quantum systems on lithium niobate platforms. These systems include a Quantum Random Number Generator, Entropy Quantum Optimization Machine, and Quantum Authentication. With over eight years of experience in quantum information science, quantum optics, and quantum and classical communication, Nguyen holds multiple patents representing core QCi technologies. She is a recipient of the 2023 Edison Patent Award in Science and Technology.

Sep 10th, 2025 NYC Quantum Computing In Person Meetup (w/teams option)