100 citations · 106 across the 6 of their papers we have counts for
6 papers
Partitioned Expansions for Approximate Tensor Network Contractions
Glen Evenbly, Johnnie Gray, Garnet Kin-Lic Chan
We propose a method for approximating the contraction of a tensor network by partitioning the network into a sum of computationally cheaper networks. This method, which we call a p…
Tensor Network Loop Cluster Expansions for Quantum Many-Body Problems
Johnnie Gray, Gunhee Park, Glen Evenbly +3
We analyze the tensor network loop cluster expansion, introduced in [G. Park, J. Gray, and G. K.-L. Chan, Phys. Rev. B 112, 174310 (2025)] as a systematic correction to belief prop…
Hardware-efficient quantum error correction via concatenated bosonic qubits
Harald Putterman, Kyungjoo Noh, Connor T. Hann +118
In order to solve problems of practical importance, quantum computers will likely need to incorporate quantum error correction, where a logical qubit is redundantly encoded in many…
Loop Series Expansions for Tensor Networks
Glen Evenbly, Nicola Pancotti, Ashley Milsted +2
Belief propagation (BP) can be a useful tool to approximately contract a tensor network, provided that the contributions from any closed loops in the network are sufficiently weak.…
Exploring Gamification in Quantum Computing: The Qubit Factory
Glen Evenbly
Gamification of quantum theory can provide new inroads into the subject: by allowing users to experience simulated worlds that manifest obvious quantum behaviors they can potential…
Reconstruction of Randomly Sampled Quantum Wavefunctions using Tensor Methods
Aaron Stahl, Glen Evenbly
We propose and test several tensor network based algorithms for reconstructing the ground state of an (unknown) local Hamiltonian starting from a random sample of the wavefunction…