A universal fault-tolerant quantum computer that can efficiently solve problems such as
integer factorization and unstructured database search requires millions of qubits with low …

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 …

Superconducting microwave circuits incorporating nonlinear devices, such as Josephson
junctions, are a leading platform for emerging quantum technologies. Increasing circuit …

With an ever-expanding ecosystem of noisy and intermediate-scale quantum devices,
exploring their possible applications is a rapidly growing field of quantum information …

We present the meta-variational quantum eigensolver (VQE), an algorithm capable of
learning the ground-state energy profile of a parameterized Hamiltonian. If the meta-VQE is …

Due to the limitations of present-day quantum hardware, it is especially critical to design
algorithms that make the best possible use of available resources. When simulating …

Natural evolutionary strategies (NES) are a family of gradient-free black-box optimization
algorithms. This study illustrates their use for the optimization of randomly initialized …

In the effort to develop useful quantum computers simulating quantum machines with
conventional computing resources is a key capability. Such simulations will always face …

Quantum state preparation is a key step in all digital quantum simulation algorithms. Here
we propose methods to initialize on a gate-based quantum computer a general class of …

Noisy Intermediate-Scale Quantum Computing (NISQ) has dominated headlines in recent
years, with the longer-term vision of Fault-Tolerant Quantum Computation (FTQC) offering …