Creating a state-of-the-art GPU-based simulator for quantum algorithms and error-correction
Date
2026
Authors
Largoza, Dominic
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Publisher
University of Victoria
Abstract
Our group was the recipient of an academic hardware grant from NVIDIA. This grant allowed us to get 8 top of the line GPUs for our research and future cluster which will enable modern quantum simulation all over Canada. Quantum circuits and algorithms will be initially developed using Qiskit, an open-source software development kit, then translated to CUDA-Q, another open-source quantum computing platform. Then using the GPU support that CUDA-Q offers, will simulate large common systems. I am currently implementing an algorithm that we believe shows quantum advantage and can be applied on a variety of quantum chemistry and statistical physics problems. The simulation results will be crucial to comparing against runs on real quantum computers that we have through our access on PINQ2. I will also deploy a code used for finding the upper critical threshold for quantum error-correction. Learning outcomes include becoming proficient at developing quantum circuits and simulating said circuits using Qiskit and CUDA-Q. Also to gain an understanding of the foundations of quantum computing, such as quantum gates and common quantum algorithms.
Description
Keywords
quantum computing, GPU-simulation, Jamie Cassels Undergraduate Research Awards (JCURA)