activity
20092024
most citedLogical Neural Networks

84 citations · 147 across the 10 of their papers we have counts for

collaborators

10 papers

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-ph2023★ 1 cited

A Modular Engine for Quantum Monte Carlo Integration

Ismail Yunus Akhalwaya, Adam Connolly, Roland Guichard +8

We present the Quantum Monte Carlo Integration (QMCI) engine developed by Quantinuum. It is a quantum computational tool for evaluating multi-dimensional integrals that arise in va…

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

The Effect of Noise on the Performance of Variational Algorithms for Quantum Chemistry

Waheeda Saib, Petros Wallden, Ismail Akhalwaya

Variational quantum algorithms are suitable for use on noisy quantum systems. One of the most important use-cases is the quantum simulation of materials, using the variational quan…

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…

cs.AI2020★ 84 cited

Logical Neural Networks

Ryan Riegel, Alexander Gray, Francois Luus +12

We propose a novel framework seamlessly providing key properties of both neural nets (learning) and symbolic logic (knowledge and reasoning). Every neuron has a meaning as a compon…

cs.CV2019★ 10 cited

Active Learning with TensorBoard Projector

Francois Luus, Naweed Khan, Ismail Akhalwaya

An ML-based system for interactive labeling of image datasets is contributed in TensorBoard Projector to speed up image annotation performed by humans. The tool visualizes feature…

quant-ph2009

The Algebraic Measure of a Hidden Markov Quantum Memory Channel

I. Akhalwaya, J. Wouters, M. Fannes +1

This paper was presented in poster form at and in the proceedings of the QCMC 2008. It is a summary of a fuller paper to appear separately. The classical product state capacity of…

quant-ph2009★ 16 cited

Classical capacity of a qubit depolarizing channel with memory

Jeroen Wouters, Ismail Akhalwaya, Mark Fannes +1

The classical product state capacity of a noisy quantum channel with memory is investigated. A forgetful noise-memory channel is constructed by Markov switching between two depolar…