For quantum computers to successfully solve real-world problems, it is necessary to tackle
the challenge of noise: the errors that occur in elementary physical components due to …

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

Motivated by far-reaching applications ranging from quantum simulations of complex
processes in physics and chemistry to quantum information processing, a broad effort is …

For the first time in history, we are seeing a branching point in computing paradigms with the
emergence of quantum processing units (QPUs). Extracting the full potential of computation …

High-fidelity two-qubit gates at scale are a key requirement to realize the full promise of
quantum computation and simulation. The advent and use of coupler elements to tunably …

Among the many computational challenges faced across different disciplines, quantum-
mechanical systems pose some of the hardest ones and offer a natural playground for the …

An important measure of the development of quantum computing platforms has been the
simulation of increasingly complex physical systems. Before fault-tolerant quantum …

Inherent symmetry of a quantum system may protect its otherwise fragile states. Leveraging
such protection requires testing its robustness against uncontrolled environmental …

Abstract Systems of correlated particles appear in many fields of modern science and
represent some of the most intractable computational problems in nature. The computational …

Variational quantum circuits have been widely employed in quantum simulation and
quantum machine learning in recent years. However, quantum circuits with random …