From the 2 of 10 linked papers with an AI index.
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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…
Interplay of Zeeman Splitting and Tunnel Coupling in Coherent Spin Qubit Shuttling
Ssu-Chih Lin, Paul Steinacker, MengKe Feng +11
Spin shuttling offers a promising approach for developing scalable silicon-based quantum processors by addressing the connectivity limitations of quantum dots. In this work, we dem…
Coupling a Ge nuclear spin to an electrostatically defined quantum dot
Paul Steinacker, Gauri Goenka, Rocky Yue Su +17
Single nuclear spins in silicon are a promising resource for quantum technologies due to their long coherence times and excellent control fidelities. Qubits and qudits have been en…
A 300 mm foundry silicon spin qubit unit cell exceeding 99% fidelity in all operations
Paul Steinacker, Nard Dumoulin Stuyck, Wee Han Lim +24
Fabrication of quantum processors in advanced 300 mm wafer-scale complementary metal-oxide-semiconductor (CMOS) foundries provides a unique scaling pathway towards commercially via…
Violating Bell's inequality in gate-defined quantum dots
Paul Steinacker, Tuomo Tanttu, Wee Han Lim +15
Superior computational power promised by quantum computers utilises the fundamental quantum mechanical principle of entanglement. However, achieving entanglement and verifying that…