The power of quantum computing technologies is based on the fundamentals of quantum
mechanics, such as quantum superposition, quantum entanglement, or the no-cloning …

Quantum information technologies, on the one hand, and intelligent learning systems, on the
other, are both emergent technologies that are likely to have a transformative impact on our …

Quantum variational algorithms are one of the most promising applications of near-term
quantum computers; however, recent studies have demonstrated that unless the variational …

Scaling up invariably error-prone quantum processors is a formidable challenge. Although
quantum error correction ultimately promises fault-tolerant operation, the required qubit …

Farhi et al. recently proposed a class of quantum algorithms, the quantum approximate
optimization algorithm (QAOA), for approximately solving combinatorial optimization …

We use inverse design to discover metalens structures that exhibit broadband, achromatic
focusing across low, moderate, and high numerical apertures. We show that standard unit …

Discoveries in quantum materials, which are characterized by the strongly quantum-
mechanical nature of electrons and atoms, have revealed exotic properties that arise from …

The development of estimation and control theories for quantum systems is a fundamental
task for practical quantum technology. This vision article presents a brief introduction to …

To harness the potential of noisy intermediate-scale quantum devices, it is paramount to find
the best type of circuits to run hybrid quantum-classical algorithms. Key candidates are …

In silico catalyst design is a grand challenge of chemistry. Traditional computational
approaches have been limited by the need to compute properties for an intractably large …