- 'Reconquering Bell sampling on qudits: stabilizer learning and testing, quantum pseudorandomness bounds, and more'
- 'A Bit of Freedom Goes a Long Way: Classical and Quantum Algorithms for Reinforcement Learning under a Generative Model'
- 'On the practicality of quantum sieving algorithms for the shortest vector problem'
- 'Quantum generalizations of Glauber and Metropolis dynamics'
- 'Beyond Bell sampling: stabilizer state learning and quantum pseudorandomness lower bounds on qudits'
- 'Quantum Algorithms for the Pathwise Lasso'
- 'Do you know what q-means?'
- 'Constant-depth circuits for Boolean functions and quantum memory devices using multi-qubit gates'
- 'Quantum algorithm for robust optimization via stochastic-gradient online learning'
- 'Decoding probabilistic syndrome measurement and the role of entropy'
- 'A note on the partition bound for one-way classical communication complexity'
- 'Quantum Algorithm for Stochastic Optimal Stopping Problems with Applications in Finance'
Research Experience
Postdoctoral researcher at the Centre for Quantum Technologies in the National University of Singapore from 2021 to 2024, working with Prof. Miklos Santha; currently a postdoctoral researcher at the Alfréd Rényi Institute of Mathematics, working with Dr. András Gilyén.
Education
PhD from 2016 to 2021 at the University of Bristol, supervised by Prof. Ashley Montanaro.
Background
Main research interests are in (fault-tolerant) quantum algorithms, with past topics including (quantum) communication complexity and quantum finance. Currently working mostly on quantum machine learning, quantum Gibbs samplers, and stabiliser states.