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20242026
most citedAb Initio Many Body Quantum Embedding and Local Correlation in Crystalline Materials using Interpolative Separable Density Fitting

2 citations · 3 across the 6 of their papers we have counts for

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quant-ph2026

Quasiparticle quantum simulation of materials with the Bethe-Salpeter equation

Jielun Chen, Jiace Sun, Garnet Kin-Lic Chan

The first-principles quantum simulation of the full electronic Hamiltonian of a material model of realistic size appears daunting even in a future era of fully fault-tolerant quant…

physics.chem-ph2026

Stochastic Tensor Contraction for Efficient MP2 Exchange

Jiace Sun, Garnet Kin-Lic Chan

Second-order Moller--Plesset perturbation theory (MP2) is one of the simplest correlated wave-function methods, but its conventional cost limits its application to large s…

quant-ph2026

Shadow tomography for classical tensor network simulations

Jiace Sun, Garnet Kin-Lic Chan

Shadow tomography has appeared as a powerful tool for estimating observables on quantum computers from a small number of samples. We show that shadow-tomography-inspired ideas can…

quant-ph2026

Phase-sensitive representation of Majorana stabilizer states

Tomislav Begušić, Garnet Kin-Lic Chan

Stabilizer states hold a special place in quantum information science due to their connection with quantum error correction and quantum circuit simulation. In the context of classi…

physics.chem-ph2026

Stochastic tensor contraction for quantum chemistry

Jiace Sun, Garnet Kin-Lic Chan

Many computational methods in ab initio quantum chemistry are formulated in terms of high-order tensor contractions, whose cost determines the size of system that can be studied. W…

cond-mat.str-el2026★ 2 cited

Ab Initio Many Body Quantum Embedding and Local Correlation in Crystalline Materials using Interpolative Separable Density Fitting

Junjie Yang, Ning Zhang, Shunyue Yuan +3

We present an efficient implementation of ab initio many-body quantum embedding and local correlation methods for infinite periodic systems through translational symmetry adapted i…