SesQ applies surface discretization and a semi-analytical multilayer Green's function to calculate EPR in qubits with roughly 100x faster capacitance extraction and higher precision than volumetric FEM.
Shape optimization of superconducting transmon qubits for low surface dielectric loss
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
quant-ph 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
SesQ: A Surface Electrostatic Simulator for Precise Energy Participation Ratio Simulation in Superconducting Qubits
SesQ applies surface discretization and a semi-analytical multilayer Green's function to calculate EPR in qubits with roughly 100x faster capacitance extraction and higher precision than volumetric FEM.