6 papers
Machine Learning for Charge State Characterization of Isolated Double Quantum Dots
Hyma Vallabhapurapu, Marco Candido, Krishna Choudhary +7
Scaling semiconductor quantum dot arrays toward fault-tolerant quantum computing requires efficient tuneup of spin qubits, a process that depends on the analysis of charge stabilit…
SiMOS quantum-dot spin qubits enabled by extreme-ultraviolet lithography
Thomas Van Caekenberghe, Paul Steinacker, Bart Raes +31
The authors fabricate silicon MOS spin qubits using extreme‑ultraviolet (EUV) lithography on 300 mm wafers and demonstrate sub‑nanometer gate control, high uniformity, and gate fid…
Optimal operating temperature for industry-compatible silicon spin quantum computing: colder is not necessarily better
Paul Steinacker, Amanda E. Seedhouse, Nard Dumoulin Stuyck +22
The paper experimentally benchmarks silicon spin qubits over a range of temperatures and models the trade‑off between gate fidelity and cooling power, showing that a finite optimal…
Gate Stack Engineering for High-Mobility and Low-Noise SiMOS Quantum Devices
Md. Mamunur Rahman, Ensar Vahapoglu, Kok Wai Chan +16
We systematically investigate the interplay between materials engineering, quantum transport, and low-frequency charge noise in silicon metal--oxide--semiconductor (SiMOS) quantum…
Precision high-speed quantum logic with holes on a natural silicon foundry platform
Isaac Vorreiter, Jonathan Y. Huang, Scott D. Liles +15
Silicon spin qubits in gate-defined quantum dots leverage established semiconductor infrastructure and offer a scalable path toward transformative quantum technologies. Holes spins…
Wavelet correlation noise analysis for qubit operation variable time series
Amanda E. Seedhouse, Nard Dumoulin Stuyck, Santiago Serrano +10
In quantum computing, characterizing the full noise profile of qubits can aid in increasing coherence times and fidelities by developing error-mitigating techniques specific to the…