Learning Reduced Order Dynamics via Geometric Representations
Imran Nasim, Melanie Weber
SCML 2024
Excited states of many-body quantum systems play a key role in a wide range of physical and chemical phenomena. Despite this, there is a notable lack of scalable algorithms capable of preparing highly excited eigenstates. To address this challenge, we introduce a general approach that directly targets eigenstates near a chosen energy, applicable to both classical and quantum simulation frameworks. Our approach combines the shift-invert mechanism with imaginary time evolution, enabling the construction of excited states of large many-body quantum systems. We demonstrate the technique classically by computing midspectrum eigenstates of disordered spin chains with up to 𝐿=128 sites. Based on this, we propose a hybrid scheme compatible with near-term quantum hardware.
Imran Nasim, Melanie Weber
SCML 2024
A. Gupta, R. Gross, et al.
SPIE Advances in Semiconductors and Superconductors 1990
Mitsuru Ueda, Hideharu Mori, et al.
Journal of Polymer Science Part A: Polymer Chemistry
Thomas H. Baum, Carl E. Larson, et al.
Journal of Organometallic Chemistry