Trends & Signals
By: Elton Zhu
Explore the latest insights, thought leadership, and research from FCAT®
Iterative Combinatorial Brain Surgeon: Scalable Pruning of Large Language and Vision Models (LLVMs)
November 26, 2024
FCAT collaborated with Amazon Quantum Solutions Lab to propose a new scalable pruning algorithm for large language and vision models.
Solving QUBOs with a Quantum-Amenable branch and bound method
July 30, 2024
By leveraging high-performance computing techniques and exploring the potential of quantum computing, researchers are paving the way for new breakthroughs in finance and other fields.
Explainable AI Using Expressive Boolean Formulas
June 8, 2023
Amazon Quantum Solutions Lab and FCAT proposed and implemented an interpretable machine learning model for Explainable AI (XAI) based on expressive Boolean formulas.
Quantum State Preparation of Normal Distributions using Matrix Product States
March 6, 2023
In this POC, we designed a new way of generating quantum states that encode normal probability distributions, and provided the first study in quantum hardware for scalable distribution loading.
FCAT and IonQ Explore Machine Learning With Quantum Computing
September 15, 2021
This PoC showcases how quantum computing can be used to generate high-quality synthetic data, and thus help in backtesting financial models.