564 citations · 3.8k across the 91 of their papers we have counts for
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Quantifying Quantum Computational Advantage on a Processor of Ultracold Atoms
Yong-Guang Zheng, Ying-Chao Shen, Wei-Yong Zhang +15
Nonequilibrium dynamics of quantum many-body systems is challenging for classical computing, providing opportunities for demonstrating practical quantum computational advantage wit…
Computing Electronic Correlation Energies using Linear Depth Quantum Circuits
Chong Hian Chee, Adrian M. Mak, Daniel Leykam +2
Efficient computation of molecular energies is an exciting application of quantum computing for quantum chemistry, but current noisy intermediate-scale quantum (NISQ) devices can o…
Topological data analysis and machine learning
Daniel Leykam, Dimitris G. Angelakis
Topological data analysis refers to approaches for systematically and reliably computing abstract ``shapes'' of complex data sets. There are various applications of topological dat…
Boosting Topological Zero Modes Using Elastomer Waveguide Arrays
Angelina Frank, Daniel Leykam, Daria A. Smirnova +2
We employ the Su-Schrieffer-Heeger model in elastic polymer waveguide arrays to design and realize travelling topologically protected modes. The observed delocalization of the opti…
Persistent homology analysis of a generalized Aubry-André-Harper model
Yu He, Shiqi Xia, Dimitris G. Angelakis +3
Observing critical phases in lattice models is challenging due to the need to analyze the finite time or size scaling of observables. We study how the computational topology techni…