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Articles by Valentin John
Optimising germanium hole spin qubits with a room-temperature magnet
Abstract Germanium spin qubits offer high-fidelity control via strong spin-orbit interaction, but their magnetic field sensitivity typically requires bulky superconducting vector magnets that limit scalability. This study investigates replacing these with an external permanent magnet located outside the cryostat to reclaim internal sample space.
Exploiting strained epitaxial germanium for scaling low-noise spin qubits at the micrometre scale - Nature Materials
Abstract Disorder in the heterogeneous material stack of semiconductor spin qubit systems introduces noise that compromises quantum information processing, posing a challenge to coherently control large-scale quantum devices. Here we exploit low-disorder epitaxial, strained quantum wells in Ge/SiGe heterostructures grown on Ge wafers to comprehensively probe the noise properties of complex micrometre-scale devices, comprising quantum dots arranged in a two-dimensional array.
Modular Autonomous Virtualization System for Two-Dimensional Semiconductor Quantum Dot Arrays
Semiconductors are the backbone of modern technology, powering devices from computers and smartphones to data centers and medical equipment. Their ability to be controlled by fast electric signals makes them ideal for both classical and quantum computing. Quantum dots—tiny regions where individual charge carriers are trapped—are promising building blocks for quantum bits that store information in the spin of electrons.
Bichromatic Rabi Control of Semiconductor Qubits
Abstract Electrically driven spin resonance is a powerful technique for controlling semiconductor spin qubits. However, it faces challenges in qubit addressability and off-resonance driving in larger systems. We demonstrate coherent bichromatic Rabi control of quantum dot hole spin qubits, offering a spatially selective approach for large qubit arrays.
Shared control of a 16 semiconductor quantum dot crossbar array - Nature Nanotechnology
Abstract The efficient control of a large number of qubits is one of the most challenging aspects for practical quantum computing. Current approaches in solid-state quantum technology are based on brute-force methods, where each and every qubit requires at least one unique control line—an approach that will become unsustainable when scaling to the required millions of qubits.
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