Helps students develop critical skills.
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Yuval Sanders is a Senior Lecturer in the School of Computer Science at the University of Technology Sydney, affiliated with the Centre for Quantum Software and Information. His research specializes in quantum algorithms and complexity within quantum computing. Sanders earned his PhD from the University of Waterloo in 2016, MSc from the University of Calgary in 2011, and BSc with First Class Honours from the University of Calgary in 2008. He joined UTS as a permanent faculty member in September 2022, following a Research Associate position at UTS from July 2021 to September 2022 and at Macquarie University from August 2016 to June 2021, where he also holds an Honorary Research Fellow title.
Sanders' publications appear in leading journals including PRX Quantum, New Journal of Physics, and Quantum Information and Computation. Key works include 'Compilation of Fault-Tolerant Quantum Heuristics for Combinatorial Optimization' (PRX Quantum, 2020), 'Bounding quantum gate error rate based on reported average fidelity' (New Journal of Physics, 2016), 'Nearly optimal quantum algorithm for generating the ground state of a free quantum field theory' (PRX Quantum, 2022), 'Optimal scaling quantum linear-systems solver via discrete adiabatic theorem' (PRX Quantum, 2022), and 'Selection and improvement of product formulae for best performance of quantum simulation' (Quantum Information and Computation, 2025). His research has accumulated over 1,380 citations on Google Scholar. Sanders serves as a QSI Core Member, supervising students under Professor Zhengfeng Ji, and contributes to funded projects such as an ARC Discovery Project 2025 on quantum programming verification led with Professors Mingsheng Ying and Sanjiang Li, a $5 million ARC Industrial Training Centre for quantum leaders as Chief Investigator, and the DARPA Quantum Benchmarking Program.
