6 papers
Tensor network compression using fluid dynamics as a testbed: Analytical foundations in one dimension
Matthew D. Horner, Callum W. Duncan, Oliver T. Brown +2
High performance computers produce extreme-scale data sets that require sampling or compression if they are to be used to their full potential. Existing data compression techniques…
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…
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…
A fast and frugal Gaussian Boson Sampling emulator
Tom Dodd, Javier MartÃnez-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…
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…
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…