Many important phenomena in quantum devices are dynamic, meaning that they cannot be
studied using time-averaged measurements alone. Experiments that measure such transient …

Silicon spin qubits have emerged as a promising path to large-scale quantum processors. In
this prospect, the development of scalable qubit readout schemes involving a minimal …

Developing fast, accurate, and scalable techniques for quantum-state readout is an active
area in semiconductor-based quantum computing. Here, we present results on dispersive …

Semiconductor quantum dots are promising hosts for qubits to build a quantum processor. In
the last twenty years, intensive researches have been carried out and diverse kinds of qubits …

Deep reinforcement learning is an emerging machine-learning approach that can teach a
computer to learn from their actions and rewards similar to the way humans learn from …

Fault-tolerant spin-based quantum computers will require fast and accurate qubit read out.
This can be achieved using radiofrequency reflectometry given sufficient sensitivity to the …

Quantum states of a few-particle system capacitively coupled to a metal gate can be
discriminated by measuring the quantum capacitance, which can be identified with the …

We present recent advances made towards the realization of hole and electron spin
quantum bits (qubits) localized within Si Quantum Dots (QDs). These devices, operated at …

We present a numerically-optimized multipulse framework for the quantum control of a
single-electron double quantum dot qubit. Our framework defines a set of pulse sequences …

Dispersive charge sensing is realized in hybrid semiconductor-superconductor nanowires in
gate-defined single-and double-island device geometries. Signal-to-noise ratios (SNRs) …