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20232026
most citedA Brief Review of Quantum Machine Learning for Financial Services

7 citations · 10 across the 7 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

quant-ph2025

A fast and frugal Gaussian Boson Sampling emulator

Tom Dodd, Javier Martínez-Cifuentes, Oliver Thomson Brown +2

If classical algorithms have been successful in reproducing the estimation of expectation values of observables of some quantum circuits using off-the-shelf computing resources, ma…

cs.DC2025

Introducing CQ: A C-like API for Quantum Accelerated HPC

Oliver Thomson Brown, Mateusz Meller, James Richings

In this paper we present CQ, a specification for a C-like API for quantum accelerated HPC, as well as CQ-SimBE, a reference implementation of CQ written in C99, and built on top of…

quant-ph2025

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

Ali Rezaei, Luc Jaulmes, Maria Bahna +2

Scalable classical simulation of quantum circuits is crucial for advancing quantum algorithm development and validating emerging hardware. This work focuses on performance enhancem…

cs.DC2025

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

Jakub Adamski, Oliver Thomson Brown

Tensor networks establish an adaptable framework for the emulation of quantum circuits. By partitioning exponentially large registers and gates into smaller tensors, this unlocks f…

quant-ph2025

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

Mateusz Meller, Vendel Szeremi, Oliver Thomson Brown

Recent advances in quantum computing have brought us closer to realizing the potential of this transformative technology. While significant strides have been made in quantum error…