activity
20222025
most citedDrastic Circuit Depth Reductions with Preserved Adversarial Robustness by Approximate Encoding for Quantum Machine Learning

26 citations · 40 across the 6 of their papers we have counts for

collaborators

7 papers

quant-ph2025

Genetically Engineered Quantum Circuits for Financial Market Indicators

Floyd M. Creevey, Lloyd C. L. Hollenberg

Quantum computing holds immense potential for transforming financial analysis and decision-making. Realising this potential necessitates the efficient encoding and processing of fi…

quant-ph2025

Scalable Quantum State Preparation for Encoding Genomic Data with Matrix Product States

Floyd M. Creevey, Hitham T. Hassan, James McCafferty +2

As quantum computing hardware advances, the need for algorithms that facilitate the loading of classical data into the quantum states of these devices has become increasingly impor…

quant-ph2025

Implementation of a quantum sequence alignment algorithm for quantum bioinformatics

Floyd M. Creevey, Mingrui Jing, Lloyd C. L. Hollenberg

This paper presents the implementation of a quantum sequence alignment (QSA) algorithm on biological data in environments simulating noisy intermediate-scale quantum (NISQ) compute…

quant-ph2023★ 2 cited

Kernel Alignment for Quantum Support Vector Machines Using Genetic Algorithms

Floyd M. Creevey, Jamie A. Heredge, Martin E. Sevior +1

The data encoding circuits used in quantum support vector machine (QSVM) kernels play a crucial role in their classification accuracy. However, manually designing these circuits po…

quant-ph2023★ 26 cited

Drastic Circuit Depth Reductions with Preserved Adversarial Robustness by Approximate Encoding for Quantum Machine Learning

Maxwell T. West, Azar C. Nakhl, Jamie Heredge +4

Quantum machine learning (QML) is emerging as an application of quantum computing with the potential to deliver quantum advantage, but its realisation for practical applications re…

quant-ph2023★ 3 cited

GASP -- A Genetic Algorithm for State Preparation

Floyd M. Creevey, Charles D. Hill, Lloyd C. L. Hollenberg

The efficient preparation of quantum states is an important step in the execution of many quantum algorithms. In the noisy intermediate-scale quantum (NISQ) computing era, this is…

quant-ph2022★ 9 cited

Noise-robust ground state energy estimates from deep quantum circuits

Harish J. Vallury, Michael A. Jones, Gregory A. L. White +3

In the lead up to fault tolerance, the utility of quantum computing will be determined by how adequately the effects of noise can be circumvented in quantum algorithms. Hybrid quan…