3 citations · 7 across the 5 of their papers we have counts for
5 papers
Quantum Algorithms for Optimal Power Flow
Sajad Fathi Hafshejani, Md Mohsin Uddin, David Neufeld +2
This paper explores the use of quantum computing, specifically the use of HHL and VQLS algorithms, to solve optimal power flow problem in electrical grids. We investigate the effec…
New logarithmic step size for stochastic gradient descent
M. Soheil Shamaee, S. Fathi Hafshejani, Z. Saeidian
In this paper, we propose a novel warm restart technique using a new logarithmic step size for the stochastic gradient descent (SGD) approach. For smooth and non-convex functions,…
A Hybrid Quantum Algorithm for Load Flow
David Neufeld, Sajad Fathi Hafshejani, Daya Gaur +1
The goal of the load flow study is to ensure that electrical power is delivered efficiently and reliably to end-users while maintaining the stability and security of the power syst…
Modified Step Size for Enhanced Stochastic Gradient Descent: Convergence and Experiments
M. Soheil Shamaee, S. Fathi Hafshejani
This paper introduces a novel approach to enhance the performance of the stochastic gradient descent (SGD) algorithm by incorporating a modified decay step size based on $\frac{1}{…
Barzilai and Borwein conjugate gradient method equipped with a non-monotone line search technique and its application on non-negative matrix factorization
Sajad Fathi Hafshejani, Daya Gaur, Shahadat Hossain +1
In this paper, we propose a new non-monotone conjugate gradient method for solving unconstrained nonlinear optimization problems. We first modify the non-monotone line search metho…