activity
20162023
most citedInteracting models for twisted bilayer graphene: a quantum chemistry approach

23 citations · 73 across the 10 of their papers we have counts for

collaborators

11 papers

quant-ph2023★ 3 cited

Erasure conversion in Majorana qubits via local quasiparticle detection

Abhijeet Alase, Kevin D. Stubbs, Barry C. Sanders +1

Quasiparticle poisoning errors in Majorana-based qubits are not suppressed by the underlying topological properties, which undermines the usefulness of this proposed platform. This…

cond-mat.str-el2022★ 23 cited

Interacting models for twisted bilayer graphene: a quantum chemistry approach

Fabian M. Faulstich, Kevin D. Stubbs, Qinyi Zhu +7

The nature of correlated states in twisted bilayer graphene (TBG) at the magic angle has received intense attention in recent years. We present a numerical study of an interacting…

math-ph2021★ 2 cited

Algebraic localization of Wannier functions implies Chern triviality in non-periodic insulators

Jianfeng Lu, Kevin D. Stubbs

For gapped periodic systems (insulators), it has been established that the insulator is topologically trivial (i.e., its Chern number is equal to ) if and only if its Fermi proj…

math-ph2021★ 5 cited

Algebraic localization implies exponential localization in non-periodic insulators

Jianfeng Lu, Kevin D. Stubbs

Exponentially-localized Wannier functions are a basis of the Fermi projection of a Hamiltonian consisting of functions which decay exponentially fast in space. In two and three spa…

math-ph2020★ 12 cited

The Iterated Projected Position Algorithm for Constructing Exponentially Localized Generalized Wannier Functions for Periodic and Non-Periodic Insulators in Two Dimensions and Higher

Kevin D. Stubbs, Alexander B. Watson, Jianfeng Lu

Localized bases play an important role in understanding electronic structure. In periodic insulators, a natural choice of localized basis is given by the Wannier functions which de…

quant-ph2020

Reinforcement Learning with Neural Networks for Quantum Multiple Hypothesis Testing

Sarah Brandsen, Kevin D. Stubbs, Henry D. Pfister

Reinforcement learning with neural networks (RLNN) has recently demonstrated great promise for many problems, including some problems in quantum information theory. In this work, w…

math-ph2020★ 13 cited

Existence and computation of generalized Wannier functions for non-periodic systems in two dimensions and higher

Jianfeng Lu, Kevin D. Stubbs, Alexander B. Watson

Exponentially-localized Wannier functions (ELWFs) are an orthonormal basis of the Fermi projection of a material consisting of functions which decay exponentially fast away from th…

quant-ph2019★ 1 cited

Adaptive Procedures for Discrimination Between Arbitrary Tensor-Product Quantum States

Sarah Brandsen, Mengke Lian, Kevin D. Stubbs +2

Discrimination between quantum states is a fundamental task in quantum information theory. Given two arbitrary tensor-product quantum states (TPQS) $ρ_{\pm} = ρ_{\pm}^{(1)} \otimes…

cond-mat.mtrl-sci2019★ 12 cited

Phase Diagrams of Single Layer Two-Dimensional Transition Metal Dichalcogenides: Landau Theory

Anna N. Morozovska, Eugene A. Eliseev, Kevin D. Stubbs +3

Single layer (SL) two-dimensional transition metal dichalcogenides (TMDs), such as MoS2, ReS2, WSe2, and MoTe2 have now become the focus of intensive fundamental and applied resear…

math-ph2018★ 2 cited

On discrete Wigner transforms

Zhenning Cai, Jianfeng Lu, Kevin Stubbs

In this work, we derive a discrete analog of the Wigner transform over the space for any prime and any positive integer . We show that the Wigne…

math.FA2016

Discrete Directional Gabor Frames

Wojciech Czaja, Benjamin Manning, James M. Murphy +1

We develop a theory of discrete directional Gabor frames for functions defined on the -dimensional Euclidean space. Our construction incorporates the concept of ridge functions…