The future development of quantum technologies relies on creating and manipulating
quantum systems of increasing complexity, with key applications in computation, simulation …

In recent years the dramatic progress in machine learning has begun to impact many areas
of science and technology significantly. In the present perspective article, we explore how …

Quantum tomography is currently ubiquitous for testing any implementation of a quantum
information processing device. Various sophisticated procedures for state and process …

We build a general quantum state tomography framework that makes use of machine
learning techniques to reconstruct quantum states from a given set of coincidence …

Many nanoscale devices require precise optimization to function. Tuning them to the desired
operation regime becomes increasingly difficult and time-consuming when the number of …

Variability is a problem for the scalability of semiconductor quantum devices. The parameter
space is large, and the operating range is small. Our statistical tuning algorithm searches for …

Uniform, defect‐free crystal interfaces and surfaces are crucial ingredients for realizing high‐
performance nanoscale devices. A pertinent example is that advances in gate‐tunable and …

The current practice of manually tuning quantum dots (QDs) for qubit operation is a relatively
time-consuming procedure that is inherently impractical for scaling up and applications. In …

Realization of integrated quantum photonics is a key step toward scalable quantum
applications such as quantum computing, sensing, information processing, and quantum …

Quantum computation (QC) is one of the most challenging quantum technologies that
promise to revolutionize data computation in the long-term by outperforming the classical …