245 citations · 688 across the 27 of their papers we have counts for
27 papers
Determination of Chain Strength induced by Embedding in D-Wave Quantum Annealer
Hunpyo Lee
The D-wave quantum annealer requires embedding with ferromagnetic (FM) chains connected by several qubits, because it cannot capture exact long-range coupling between qubits, and r…
Phase transition of Frustrated Ising model via D-wave Quantum Annealing Machine
Hayun Park, Hunpyo Lee
We study the frustrated Ising model on the two-dimensional square lattice with ferromagnetic (FM) nearest-neighbor and antiferromagnetic diagonal-neighbor interactions…
Analytic continuation of the self-energy via Machine Learning techniques
Taegeun Song, Roser Valenti, Hunpyo Lee
We develop a novel analytic continuation method for self-energies on the Matsubara domain as computed by quantum Monte Carlo simulations within dynamical mean field theory (QMC+DMF…
Accelerated Continuous time quantum Monte Carlo method with Machine Learning
Taegeun Song, Hunpyo Lee
An acceleration of continuous time quantum Monte Carlo (CTQMC) methods is a potentially interesting branch of work as they are matchless as impurity solvers of a density functional…
Quantified Degeneracy, Entropy and Metal-Insulator Transition in Complex Transition-Metal Oxides
Jae-Hoon Sim, Siheon Ryee, Hunpyo Lee +1
Understanding complex correlated oxides and their phase transitions has long been a challenge. The difficulty largely arises from the intriguing interplay between multiple degrees…
Competition between disorder and Coulomb interaction in a two-dimensional plaquette Hubbard model
Hunpyo Lee, Harald O. Jeschke, Roser Valenti
We have studied a disordered plaquette Hubbard model on a two-dimensional square lattice at half-filling using a coherent potential approximation (CPA)…