292 citations · 660 across the 5 of their papers we have counts for
4 papers · 1 filter
Quantum Machine Learning for Finance
Marco Pistoia, Syed Farhan Ahmad, Akshay Ajagekar +10
Quantum computers are expected to surpass the computational capabilities of classical computers during this decade, and achieve disruptive impact on numerous industry sectors, part…
Quantum Computing Assisted Deep Learning for Fault Detection and Diagnosis in Industrial Process Systems
Akshay Ajagekar, Fengqi You
Quantum computing (QC) and deep learning techniques have attracted widespread attention in the recent years. This paper proposes QC-based deep learning methods for fault diagnosis…
Quantum computing for energy systems optimization: Challenges and opportunities
Akshay Ajagekar, Fengqi You
The purpose of this paper is to explore the applications of quantum computing to energy systems optimization problems and discuss some of the challenges faced by quantum computers…
Quantum Computing based Hybrid Solution Strategies for Large-scale Discrete-Continuous Optimization Problems
Akshay Ajagekar, Travis Humble, Fengqi You
Quantum computing (QC) has gained popularity due to its unique capabilities that are quite different from that of classical computers in terms of speed and methods of operations. T…