Abstract This Technical Review collects values of selected performance characteristics of
semiconductor spin qubits defined in electrically controlled nanostructures. The …

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 …

Andreev (or superconducting) spin qubits (ASQs) have recently emerged as a promising
qubit platform that combines superconducting circuits with semiconductor spin degrees of …

Heisenberg exchange coupling between neighboring electron spins in semiconductor
quantum dots provides a powerful tool for quantum information processing and simulation …

The mobility edge (ME) that marks the energy separating extended and localized states is a
most important concept in understanding the metal-insulator transition induced by …

Silicon spin qubits show great promise as a scalable qubit platform for fault-tolerant quantum
computing. However, fast high-fidelity readout of charge and spin states, which is required …

The proximity effect of superconductivity on confined states in semiconductors gives rise to
various bound states such as Andreev bound states, Andreev molecules, and Majorana zero …

Long-distance transfer of quantum information in architectures based on quantum dot spin
qubits will be necessary for their scalability. One way of achieving this goal is to simply move …

Proposals for large-scale semiconductor spin-based quantum computers require high-
fidelity single-shot qubit readout to perform error correction and read out qubit registers at …

Long-range interactions play a key role in several phenomena of quantum physics and
chemistry. To study these phenomena, analog quantum simulators provide an appealing …