A bstract Quantum machine learning aims to release the prowess of quantum computing to
improve machine learning methods. By combining quantum computing methods with …

A bstract Photonic Quantum Computers provide several benefits over the discrete qubit-
based paradigm of quantum computing. By using the power of continuous-variable …

A bstract High-quality simulated data is crucial for particle physics discoveries. Therefore,
parton shower algorithms are a major building block of the data synthesis in event generator …

The interpretation of measurements of high-energy particle collisions relies heavily on the
performance of full event generators, which include the calculation of the hard process and …

We demonstrate how quantum field theory problems can be practically encoded by using a
discretization of the field theory problem into a general Ising model, with the continuous field …

We provide first evidence that under certain conditions, 1/2-spin fermions may naturally
behave like a Grover search, looking for topological defects in a material. The theoretical …

The aim of this paper is to build quantum circuits that implement discrete-time quantum
walks having an arbitrary position-dependent coin operator. The position of the walker is …

Quantum walks (QWs) are of interest as examples of uniquely quantum behavior and are
applicable in a variety of quantum search and simulation models. Implementing QWs on …

In order to further improve the performance of image retrieval, a novel image reranking
algorithm based on discrete-time quantum walk is proposed. In this algorithm, a discrete …

This work provides a relativistic, digital quantum simulation scheme for both $2+ 1$ and $3+
1$ dimensional quantum electrodynamics (QED), based on a discrete spacetime formulation …