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

The coherent control of interacting spins in semiconductor quantum dots is of strong interest
for quantum information processing and for studying quantum magnetism from the bottom …

Optimal control of qubits requires the ability to adapt continuously to their ever-changing
environment. We demonstrate a real-time control protocol for a two-electron singlet-triplet …

Electron spins in semiconductor quantum dots are a promising platform for quantum-
information processing applications because their quantum phase coherence can persist for …

In pursuit of enhancing the prediction capabilities of neural networks, it has been a
longstanding objective to create datasets encompassing a diverse array of samples. The …

We analyze in detail a procedure of entangling of two singlet–triplet (S–\(T_ {0}\)) qubits
operated in a regime when energy associated with the magnetic field gradient,\(\Delta B …

Any quantum program on a realistic quantum device must be compiled into an executable
form while taking into account the underlying hardware constraints. Stringent restrictions on …

Spins in solid systems can inherently serve as qubits for quantum simulation or quantum
information processing. Spin qubits are usually prone to environmental magnetic field …

The coherent control of interacting spins in semiconductor quantum dots is of strong interest
for quantum information processing as well as for studying quantum magnetism from the …

Results Device and Bayesian estimation We use a top-gated GaAs DQD array 29 and tune
up one of its ST0 qubits using the gate electrodes shown in Fig. 1 c, at 200 mT in-plane …