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20152026
most citedDynamic Graph Convolutional Networks Using the Tensor M-Product

34 citations · 163 across the 27 of their papers we have counts for

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6 papers · 1 filter

quant-ph2024

Comparing quantum and classical Monte Carlo algorithms for estimating Betti numbers of clique complexes

Ismail Yunus Akhalwaya, Ahmed Bhayat, Adam Connolly +4

Several quantum and classical Monte Carlo algorithms for Betti Number Estimation (BNE) on clique complexes have recently been proposed, though it is unclear how their performances…

quant-ph2024

Multivariate trace estimation using quantum state space linear algebra

Liron Mor Yosef, Shashanka Ubaru, Lior Horesh +1

In this paper, we present a quantum algorithm for approximating multivariate traces, i.e. the traces of matrix products. Our research is motivated by the extensive utility of multi…

quant-ph2024

On Efficient Solutions of General Structured Markov Processes in Quantum Computational Environments

Vasileios Kalantzis, Mark S. Squillante, Shashanka Ubaru

We study from a theoretical viewpoint the fundamental problem of efficiently computing the stationary distribution of general classes of structured Markov processes. In strong cont…

quant-ph2022★ 12 cited

Topological data analysis on noisy quantum computers

Ismail Yunus Akhalwaya, Shashanka Ubaru, Kenneth L. Clarkson +6

Topological data analysis (TDA) is a powerful technique for extracting complex and valuable shape-related summaries of high-dimensional data. However, the computational demands of…

quant-ph2022★ 9 cited

Representation of the Fermionic Boundary Operator

Ismail Yunus Akhalwaya, Yang-Hui He, Lior Horesh +4

The boundary operator is a linear operator that acts on a collection of high-dimensional binary points (simplices) and maps them to their boundaries. This boundary map is one of th…

quant-ph2021★ 15 cited

Quantum Topological Data Analysis with Linear Depth and Exponential Speedup

Shashanka Ubaru, Ismail Yunus Akhalwaya, Mark S. Squillante +2

Quantum computing offers the potential of exponential speedups for certain classical computations. Over the last decade, many quantum machine learning (QML) algorithms have been pr…