Nuclear magnetic resonance is arguably both the best available quantum technology for
implementing simple quantum computing experiments and the worst technology for building …

In loop quantum gravity approach to Planck scale physics, quantum geometry is represented
by superposition of the so-called spin network states. In the recent literature, a class of spin …

Quantum information scrambling under the dynamics of a closed many-body system is of
wide interest. The tripartite mutual information (TMI) can quantify the scrambling via its stable …

In a gauge theory, a collection of kinematical degrees of freedom is used to redundantly
describe a smaller amount of gauge-invariant information. In a quantum error correcting …

The development of high-fidelity two-qubit quantum gates is essential for digital quantum
computing. Here, we propose and realize an all-microwave parametric controlled-Z (CZ) …

The gradient descent method is central to numerical optimization and is the key ingredient in
many machine learning algorithms. It promises to find a local minimum of a function by …

A bstract In this paper we apply the discrete gravity and Regge calculus to tensor networks
and Anti-de Sitter/conformal field theory (AdS/CFT) correspondence. We construct the …

Quantum random number generator harnesses the power of quantum mechanics to
generate true random numbers, making it valuable for various scientific applications …

Quantum random-number generation (QRNG) is one of the most widely applied branches in
quantum cryptography. Among all QRNG schemes, semi-device-independent (semi-DI) …

Thanks to the quantum simulation, more and more problems in quantum mechanics which
were previously inaccessible are now open to us. Capitalizing on the state-of-the-art …