2026 CAP Congress / Congrès de l'ACP 2026

Simulating Qubit Systems with Tensor Network Algorithms

23 Jun 2026, 16:45

15m

U. Ottawa - Learning Crossroads (CRX) Building

Oral Competition (Graduate Student) / Compétition orale (Étudiant(e) du 2e ou 3e cycle) Division for Quantum Information / Division de l'information quantique (DQI / DIQ) (DQI) T3-11 | (DIQ)

Speaker

Anne Najdzionek (Department of Physics & Astronomy, University of Victoria, Victoria, British Columbia V8P 5C2, Canada)

Description

In the quest for robust quantum computers with large number of qubits one the roadblocks is the predictability of qubit design. Exact diagonalization techniques for the simulation of quantum computing systems can only handle a handful of qubits. We are quickly surpassing this qubit number in both superconducting circuit and other quantum systems. To simulate these systems and predict the effects of noise we must use tensor network algorithms. These simulation techniques will quicken the pace of quantum computing advancement as we will be able to predict which circuits or other constructions will or will not work efficiently or effectively.
A.N. acknowledges the NSERC CREATE in Quantum Computing Program, grant number 543245. This research was undertaken, in part, thanks to funding from the Canada Research Chairs Program (CRC-2021-00257). This work has been supported in part by the Natural Sciences and Engineering Research Council of Canada (NSERC) under grants RGPIN-2023-05510 and DGECR-2023-00026.