1 citations · 1 across the 1 of their papers we have counts for
5 papers
Exploiting many-body localization for scalable variational quantum simulation
Chenfeng Cao, Yeqing Zhou, Swamit Tannu +2
Variational quantum algorithms (VQAs) represent a promising pathway toward achieving practical quantum advantage on near-term hardware. Despite this promise, for generic, expressiv…
Characterizing entanglement at finite temperature: how does a "classical" paramagnet become a quantum spin liquid?
Snigdh Sabharwal, Matthias Gohlke, Paul Skrzypczyk +1
Quantum spin liquids (QSL) are phases of matter which are distinguished not by the symmetries they break, but rather by the patterns of entanglement within them. Although these ent…
Can experimentally-accessible measures of entanglement distinguish quantum spin liquids from disorder-driven "random singlet" phases ?
Tokuro Shimokawa, Snigdh Sabharwal, Nic Shannon
At the theoretical level, quantum spin liquids are distinguished from other phases of matter by their entanglement properties. However, since the usual measure of entanglement, ent…
Witnessing Disorder in Quantum Magnets
Snigdh Sabharwal, Tokuro Shimokawa, Nic Shannon
There are no clean samples in nature. Therefore, when we come to discuss the entanglement properties of quantum materials, the effects of disorder must be taken into account. This…
Warm Start Adaptive-Bias Quantum Approximate Optimization Algorithm
Yunlong Yu, Xiang-Bin Wang, Nic Shannon +1
In the search for quantum advantage in real--world problems, one promising avenue is to use a quantum algorithm to improve on the solution found using an efficient classical algori…