During the last ten years, superconducting circuits have passed from being interesting
physical devices to becoming contenders for near-future useful and scalable quantum …

Quantum computers offer an intriguing path for a paradigmatic change of computing in the
natural sciences and beyond, with the potential for achieving a so-called quantum …

Combinatorial optimization is anticipated to be one of the primary use cases for quantum
computation in the coming years. The Quantum Approximate Optimization Algorithm and …

Quantum Computing (QC) offers significant potential to enhance scientific discovery in fields
such as quantum chemistry, optimization, and artificial intelligence. Yet QC faces challenges …

Quantum Computing has inspired scientists as well as hardware and software developers
and is fundamentally changing the landscape of information technology. Quantum …

Quantum computing promises a disruptive impact on machine learning algorithms, taking
advantage of the exponentially large Hilbert space available. However, it is not clear how to …

In recent years, there has been tremendous progress in the development of quantum
computing hardware, algorithms and services leading to the expectation that in the near …

In recent decades, the field of quantum computing has experienced remarkable progress.
This progress is marked by the superior performance of many quantum algorithms …

A core challenge for superconducting quantum computers is to scale up the number of
qubits in each processor without increasing noise or cross-talk. Distributed quantum …

Many hybrid quantum-classical algorithms for the application of ground state energy
estimation in quantum chemistry involve estimating the expectation value of a molecular …