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 …

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

Parameterized quantum circuits are a promising technology for achieving a quantum
advantage. An important application is the variational simulation of time evolution of …

Quantum materials exhibit a wide array of exotic phenomena and practically useful
properties. A better understanding of these materials can provide deeper insights into …

Quantum computing technologies are making steady progress. This has opened new
opportunities for tackling problems whose complexity prevents their description on classical …

Hybrid quantum-classical algorithms have been proposed as a potentially viable application
of quantum computers. A particular example—the variational quantum eigensolver, or VQE …

Quantum computers hold promise to improve the efficiency of quantum simulations of
materials and to enable the investigation of systems and properties that are more complex …

Quantum computing has shown great potential in various quantum chemical applications
such as drug discovery, material design, and catalyst optimization. Although significant …

We propose and demonstrate a unified hierarchical method to measure n-point correlation
functions that can be applied to driven, dissipative, or otherwise open or nonequilibrium …

The resurgence of self-supervised learning, whereby a deep learning model generates its
own supervisory signal from the data, promises a scalable way to tackle the dramatically …