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20182021
most citedQuantum Adiabatic Doping for Atomic Fermi-Hubbard Quantum Simulations

1 citations · 1 across the 1 of their papers we have counts for

collaborators

5 papers

cond-mat.quant-gas20211 cited

Quantum Adiabatic Doping for Atomic Fermi-Hubbard Quantum Simulations

Jue Nan, Jian Lin, Yuchen Luo +2

There have been considerable research efforts devoted to quantum simulations of Fermi-Hubbard model with ultracold atoms loaded in optical lattices. In such experiments, the antife…

cond-mat.quant-gas2020

Programmable Quantum Annealing Architectures with Ising Quantum Wires

Xingze Qiu, Peter Zoller, Xiaopeng Li

Quantum annealing aims at solving optimization problems efficiently by preparing the ground state of an Ising spin-Hamiltonian quantum mechanically. A prerequisite of building a qu…

cond-mat.quant-gas2020

Precise Programmable Quantum Simulations with Optical Lattices

Xingze Qiu, Jie Zou, Xiaodong Qi +1

We present an efficient approach to precisely simulate tight binding models with optical lattices, based on programmable digital-micromirror-device (DMD) techniques. Our approach c…

quant-ph2018

Quantum Adiabatic Algorithm Design using Reinforcement Learning

Jian Lin, Zhong Yuan Lai, Xiaopeng Li

Quantum algorithm design plays a crucial role in exploiting the computational advantage of quantum devices. Here we develop a deep-reinforcement-learning based approach for quantum…

quant-ph2018

Quantum Information Scrambling Through a High-Complexity Operator Mapping

Xiaopeng Li, Guanyu Zhu, Muxin Han +1

Quantum information scrambling has attracted much attention amid the effort to reconcile the conflict between quantum-mechanical unitarity and the thermalizaiton-irreversibility in…