1 citations · 2 across the 3 of their papers we have counts for
3 papers
quant-ph2023
QArchSearch: A Scalable Quantum Architecture Search Package
Ankit Kulshrestha, Danylo Lykov, Ilya Safro +1
The current era of quantum computing has yielded several algorithms that promise high computational efficiency. While the algorithms are sound in theory and can provide potentially…
quant-ph2023★ 1 cited
Learning To Optimize Quantum Neural Network Without Gradients
Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa +1
Quantum Machine Learning is an emerging sub-field in machine learning where one of the goals is to perform pattern recognition tasks by encoding data into quantum states. This exte…
cs.LG2021★ 1 cited
CONFAIR: Configurable and Interpretable Algorithmic Fairness
Ankit Kulshrestha, Ilya Safro
The rapid growth of data in the recent years has led to the development of complex learning algorithms that are often used to make decisions in real world. While the positive impac…