Spin correlations of Λ-hyperons embedded in the QCD strings formed in high energy collider
experiments provide unique insight into their locality and entanglement features. We show …

The last few years have seen many new ways to get hands-on with quantum computing,
including publicly accessible prototype hardware and software frameworks. Such tools …

Digital quantum simulation uses the capabilities of quantum computers to determine the
dynamics of quantum systems, which are beyond the computability of modern classical …

Explore the intersection of computer science, physics, and electrical and computer
engineering with this discussion of the engineering of quantum computers In Principles of …

Constraint satisfiability problems, crucial to several applications, are solved on a quantum
computer using Grover's search algorithm, leading to a quadratic improvement over the …

With noisy intermediate scale quantum computers (NISQ) becoming larger in scale and
more reliable, quantum circuits are growing in size and complexity. In order to face the …

Classical simulations of time-dependent quantum systems are widely used in quantum
control research. In particular, these simulations are commonly used to host iterative optimal …

The main goal of this work was designing a single qubit neural quantum circuit for
performing Exclusive-OR, a concrete example of an operation requiring multiple layers in …

Quantum computing is quickly developing as a new field, not only for faster hardware to
execute complex algorithms, but also as new data analytic tool to overcome current …

Quantum Machine Learning (QML) algorithms to solve classifications problems have been
made available thanks to recent advancements in quantum computation. While the number …