collaborators

8 papers

quant-ph2026

Adaptive Spectroscopy of Fast Two-Level-System Dynamics in Superconducting Qubits

Fabrizio Berritta, David Pahl, Lukas Pahl +15

Parasitic two-level-system (TLS) defects are a major source of energy relaxation and temporal instability in superconducting quantum processors. Our sub-second adaptive spectroscop…

cond-mat.mes-hall2026

Frequency-resolved decoherence spectroscopy of a semiconductor charge qubit coupled to a high-impedance resonator

Ekaterina Al-Tavil, Wonjin Jang, David J. van Woerkom +10

Superconducting resonators coupled to semiconductor quantum dots provide a powerful platform to investigate light-matter interaction and decoherence mechanisms in solid-state quant…

quant-ph2026

Evidence of Quantum Machine Learning Advantage with Tens of Noisy Qubits

Onur Danaci, Yash J. Patel, Riccardo Molteni +3

Learning problems involving quantum data are natural candidates for demonstrating an advantage in quantum machine learning. Recent results indicate that, for certain tasks and unde…

quant-ph2026

Operating a bistable qubit

Fabrizio Berritta, Jan A. Krzywda, Tom Dvir +4

Parasitic two-level-system (TLS) defects limit the stability and performance of solid-state quantum processors. Their interaction with a qubit can cause discrete, stochastic shifts…

quant-ph2026

Real-time adaptive tracking of fluctuating relaxation rates in superconducting qubits

Fabrizio Berritta, Jacob Benestad, Jan A. Krzywda +17

The fidelity of operations on a solid-state quantum processor is fundamentally bounded by environmental decoherence. Characterizing environmental fluctuations is challenging becaus…

cond-mat.mes-hall2026

Coherence Protection for Mobile Spin Qubits in Silicon

Jan A. Krzywda, Yuta Matsumoto, Maxim De Smet +6

Mobile spin qubit architectures promise flexible connectivity for efficient quantum error correction and relaxed device layout constraints, but their viability rests on preserving…