Search Results for author: Ismail Yunus Akhalwaya

Found 3 papers, 1 papers with code

Quantum Topological Data Analysis with Linear Depth and Exponential Speedup

no code implementations5 Aug 2021 Shashanka Ubaru, Ismail Yunus Akhalwaya, Mark S. Squillante, Kenneth L. Clarkson, Lior Horesh

In this paper, we completely overhaul the QTDA algorithm to achieve an improved exponential speedup and depth complexity of $O(n\log(1/(\delta\epsilon)))$.

Quantum Machine Learning Topological Data Analysis

Topological data analysis on noisy quantum computers

no code implementations19 Sep 2022 Ismail Yunus Akhalwaya, Shashanka Ubaru, Kenneth L. Clarkson, Mark S. Squillante, Vishnu Jejjala, Yang-Hui He, Kugendran Naidoo, Vasileios Kalantzis, Lior Horesh

In this study, we present NISQ-TDA, a fully implemented end-to-end quantum machine learning algorithm needing only a short circuit-depth, that is applicable to high-dimensional classical data, and with provable asymptotic speedup for certain classes of problems.

Quantum Machine Learning Topological Data Analysis

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