The electrical characterisation of classical and quantum devices is a critical step in the
development cycle of heterogeneous material stacks for semiconductor spin qubits. In the …

Quantum systems with engineered Hamiltonians can be used to study many-body physics
problems to provide insights beyond the capabilities of classical computers. Semiconductor …

Electron spins confined in silicon quantum dots are promising candidates for large-scale
quantum computers. However, the degeneracy of the conduction band of bulk silicon …

The small footprint of semiconductor qubits is favorable for scalable quantum computing.
However, their size also makes them sensitive to their local environment and variations in …

Scaling up quantum dots to two-dimensional (2D) arrays is a crucial step for advancing
semiconductor quantum computation. However, maintaining excellent tunability of quantum …

We demonstrate coherent control of a three-electron exchange-only spin qubit with the
quantum dots arranged in a close-packed triangular geometry. The device is tuned to …

There is a growing demand for quantum computing across various sectors, including
finance, materials, and studying chemical reactions. A promising implementation involves …

Current complementary metal-oxide semiconductor (CMOS) quantum processors employ
dense gate arrays to define quantum dots, making them susceptible to crosstalk from …

Engineering conduction-band valley couplings is a key challenge for Si-based spin qubits.
Recent work has shown that the most reliable method for enhancing valley couplings entails …

Gate-defined quantum dots define an attractive platform for quantum computation and have
been used to confine individual charges in a planar array. Here, we demonstrate control …