Creating a state-of-the-art GPU-based simulator for quantum algorithms and error-correction

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dc.contributor.authorLargoza, Dominic
dc.date.accessioned2026-04-23T18:11:39Z
dc.date.available2026-04-23T18:11:39Z
dc.date.issued2026
dc.description.abstractOur 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.
dc.description.reviewstatusReviewed
dc.description.scholarlevelUndergraduate
dc.description.sponsorshipJamie Cassels Undergraduate Research Awards (JCURA)
dc.identifier.urihttps://hdl.handle.net/1828/23711
dc.language.isoen
dc.publisherUniversity of Victoria
dc.subjectquantum computing
dc.subjectGPU-simulation
dc.subjectJamie Cassels Undergraduate Research Awards (JCURA)
dc.subject.departmentDepartment of Physics and Astronomy
dc.titleCreating a state-of-the-art GPU-based simulator for quantum algorithms and error-correction
dc.typePoster

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