5 papers
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…
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…
Phase-sensitive representation of Majorana stabilizer states
Tomislav BeguÅ¡iÄ, 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…
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…
Systematic improvement of trial states in phaseless auxiliary-field quantum Monte Carlo
Eirik F. Kjønstad, Yann Damour, Sandeep Sharma +1
We extend the use of coupled cluster (CC) trial states in the phaseless auxiliary-field quantum Monte Carlo (AFQMC) method beyond single and double excitations to include both trip…