Author

Oliver Thomson Brown

Observed names: Brown, Oliver, Brown, Oliver T., Brown, Oliver Thomson, O. T. Brown, Oliver Brown, Oliver T. Brown

Institution: University of Edinburgh

Observed institutions: Heriot-Watt University, Leibniz Supercomputing Centre, University of Edinburgh

ORCID: 0000-0002-5193-8635

Observed ORCID: 0000-0002-5193-8635

OpenAlex ID: A5089037101

A brief review of quantum machine learning techniques for financial services

2026 · Mina Doosti, Petros Wallden, et al. · Machine Learning Science and Technology · 32

Quantum Task Offloading with the OpenMP API

2023 · Lee, Joseph K. L., Brown, Oliver T., et al. · arXiv (Cornell University) · 10

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A fast and frugal Gaussian boson sampling emulator

2026 · Tom Dodd, Javier Martínez-Cifuentes, et al. · Science Advances · 9

Serious Game for Quantum Research

2013 · Oliver T. Brown, John Truesdale, et al. · Lecture notes in computer science · 8

Fast and energy-efficient derivatives risk analysis: Streaming option Greeks on Xilinx and Intel FPGAs

2022 · Mark Klaisoongnoen, Nick Brown, et al. · IEEE/ACM International Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC) · 7

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Low-power option Greeks: Efficiency-driven market risk analysis using FPGAs

2022 · Mark Klaisoongnoen, Nick Brown, et al. · International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART) · 6

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Energy Efficiency of Quantum Statevector Simulation at Scale

2023 · Jakub Adamski, James P Richings, et al. · International Conference for High Performance Computing, Networking, Storage and Analysis (SC) · 5

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Optimisation of an FPGA Credit Default Swap engine by embracing dataflow techniques

2021 · Nick Brown, Mark Klaisoongnoen, et al. · IEEE International Conference on Cluster Computing (CLUSTER) · 5

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Dissipation-induced mobility and coherence in frustrated lattices

2017 · E. T. Owen, O. T. Brown, et al. · Physical Review A · 5

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Programming tools for Analogue Quantum Computing in the High-Performance Computing Context – A Review

2025 · Mateusz Meller, Vendel Szeremi, et al. · Quantum · 4

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Using Machine Learning to Reduce Ensembles of Geological Models for Oil and Gas Exploration

2019 · Anna Roubickova, Nick Brown, et al. · IEEE/ACM International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD) · 4

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I feel the need for speed: Exploiting latest generation FPGAs in providing new capabilities for high frequency trading

2021 · Mark Klaisoongnoen, Nick Brown, et al. · International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART) · 3

Tensor network compression using fluid dynamics as a testbed: Analytical foundations in one dimension

2026 · Horner, Matthew D., Duncan, Callum W., et al. · arXiv (Cornell University) · 2

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Low-Level and NUMA-Aware Optimization for High-Performance Quantum Simulation

2025 · Rezaei, Ali, Jaulmes, Luc, et al. · arXiv (Cornell University) · 1

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Driving asynchronous distributed tasks with events

2020 · Brown, Nick, Brown, Oliver Thomson, et al. · arXiv (Cornell University) · 1

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Tensor-Parallel Emulation of Quantum Circuits with Block-Cyclic Distributed Matrix Product States

2026 · Jakub Adamski, Oliver Brown · SSRN Electronic Journal

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Translational Quantum Technologies for Food Systems: Mapping Applications, Technology Maturity, and Responsible Innovation

2026 · Mausam Budhathoki, Sujita Pandey, et al. · SSRN Electronic Journal

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ENERGETIC: Final Report

2023 · Bane, Michael K., Brown, Oliver, et al. · Zenodo (CERN European Organization for Nuclear Research)

Stationary states of dissipative many-body quantum systems via matrix product operators

2018 · Oliver Thomson Brown

Works count: 24

Citation count: 104

H-index: 6

I10-index: 2