March 2023:  Supercomputing Asia, a massive gathering of HPC experts from all over the region is on! Our group leader has been giving two talks on qubit efficient quantum algorithms for chemistry and optimization and their applications to industrial use cases. Check out the exciting program here .

February 2023:  Our paper on a sampling quantum advantage with analog quantum many-body systems is published in Quantum Science and Technology! A first effort in merging complexity theory and thermalization physics! In parallel, our review of applications of topological data analysis to physics and machine learning problems in physics is accepted by Adv. Phys. X!

January 2023:  Our new work on quantum computing for chemistry is out! We propose an efficient quantum circuit for second quantized fermionic ansatz state preparation for quantum chemistry and material applications. Our results are particularly timely given the recent consensus that more breakthroughs are required to resolve the quantum state preparation bottleneck that prohibits a quantum advantage for large scale quantum chemistry problem.

December 2022:  Harvey’s first preprint is out! Topological data analysis is a powerful framework for extracting useful topological information from complex datasets. Using concepts from persistent homology we show how unravelling aspects quantum chaos is possible. We apply our findings to specific examples of open quantum systems implementable in NISQ devices.

November 2022:  Our recently arrived PhD students, Harvey and Arthur have passed their QE2s! Congratulations guys!

October 2022:  Our joint work with the leading group of Prof. JW Pan in China on quantum supremacy in many-body systems is out in the arXiv! Our theory prediction from last year that driven many-body systems can be shown to be hard to sample from, has been verified in a beautiful experiment with cold atoms in lattices!