activity
20012026
most citedGraphene valley filter using a line defect

502 citations · 1.4k across the 20 of their papers we have counts for

collaborators

20 papers

cond-mat.mes-hall2026

Universal tuning of Förster resonance energy transfer in gate-programmable conductor-dielectric-conductor heterostructures

Alexis J. Agosto, Daniel Gunlycke, Michael N. Leuenberger

We develop a quantum-electrodynamical theory for universal tuning of spontaneous emission and Förster resonance energy transfer (FRET) in a material-agnostic conductor-dielectric-c…

cond-mat.mes-hall2026

Universal tuning of quantum electrodynamic interactions from power laws to exponential screening and logarithmic antiscreening

Michael N. Leuenberger, Daniel Gunlycke

We introduce a material-agnostic platform for \emph{universal tuning of quantum electrodynamic interactions from power laws to exponential screening and logarithmic antiscreening},…

quant-ph2023★ 8 cited

Implementing Jastrow--Gutzwiller operators on a quantum computer using the cascaded variational quantum eigensolver algorithm

John P. T. Stenger, C. Stephen Hellberg, Daniel Gunlycke

A Jastrow--Gutzwiller operator adds many-body correlations to a quantum state. However, the operator is non-unitary, making it difficult to implement directly on a quantum computer…

quant-ph2023★ 4 cited

Cascaded variational quantum eigensolver algorithm

Daniel Gunlycke, C. Stephen Hellberg, John P. T. Stenger

We present a cascaded variational quantum eigensolver algorithm that only requires the execution of a set of quantum circuits once rather than at every iteration during the paramet…

quant-ph2022★ 57 cited

Variational Quantum Solutions to the Advection-Diffusion Equation for Applications in Fluid Dynamics

Reuben Demirdjian, Daniel Gunlycke, Carolyn A. Reynolds +2

Constraints in power consumption and computational power limit the skill of operational numerical weather prediction by classical computing methods. Quantum computing could potenti…

quant-ph2021★ 3 cited

Expanding variational quantum eigensolvers to larger systems by dividing the calculations between classical and quantum hardware

John P. T. Stenger, Daniel Gunlycke, C. Stephen Hellberg

We present a hybrid classical/quantum algorithm for efficiently solving the eigenvalue problem of many-particle Hamiltonians on quantum computers with limited resources by splittin…