SearcharxivSearch

arXiv subjects

Ibraheem AlYousef

Publications and source records attributed to Ibraheem AlYousef.

2 recordsLinked to original sources

Low loss superconducting resonators enabled by aluminum microstructural engineering and dielectric trimming

Material losses in superconducting circuits fundamentally limit qubit coherence times and resonator quality factors. Most research efforts focus on mitigating losses at circuit interfaces, including metal--substrate, substrate--air, and metal--air interfaces. However, the correlation between TLS and non-TLS losses with the intrinsic properties of the superconducting metal and the dielectric edge smoothness is not well studied. In this work, we link the aluminum film grain size to non-TLS losses and the dielectric trimming profile and roughness to TLS loss; both loss mechanisms are subsequently mitigated. To reduce metal-related losses, we engineer the aluminum microstructure by heating during deposition, increasing grain size and reducing grain boundary density. Beyond mitigating metal losses, we introduce a two-step etching technique, Tropic etching, to suppress dielectric TLS loss by producing an ultra-smooth silicon surface with minimal defects and redeposition. These results lay out the fabrication pathway for aluminum resonators with lower loss, demonstrating two-orders-of-magnitude improvement in quality factor from $6\times10^{4}$ to $2.3\times10^{6}$. Since aluminum is the basis for most high-coherence Josephson junctions and dielectric edges are inherent to all common device geometries, the improvements in aluminum microstructure and edge profiling, presented here, can enhance the performance of superconducting quantum devices.

quant-ph

quchip: A Differentiable Toolkit for Modeling Quantum Devices

Predictive modeling of a superconducting quantum chip requires more than a Hamiltonian: the model must connect device physics, control-line transformations, chosen frames and approximations, dissipation, and measured observables. We present quchip, an open-source Python toolkit that represents these parts explicitly and assembles backend-independent simulations for QuTiP or dynamiqs; with dynamiqs, device and control parameters remain differentiable through the solve. We demonstrate the resulting experimental loop on a five-device model fitted to dressed observables. Simulated phase sweeps identify the complex crosstalk between two control lines, and inversion of the inferred response suppresses the effective leakage by more than two orders of magnitude. Over sixteen simultaneous $π$ pulses, the corrected pulse-end populations remain within $0.3$ percentage points of the crosstalk-free response. Adiabatically eliminating the bus and readout resonators reduces the Hilbert-space dimension from 576 to 16, after which gradients through simulated tomography recover the four injected crosstalk parameters with a maximum complex error of $1.5\times10^{-5}$. A single explicit model can therefore support prediction, correction, and inverse parameter recovery.

quant-ph