The variational quantum eigensolver (or VQE), first developed by Peruzzo et al.(2014), has
received significant attention from the research community in recent years. It uses the …

Once developed for quantum theory, tensor networks (TNs) have been established as a
successful machine learning (ML) paradigm. Now, they have been ported back to the …

In the race to build scalable quantum computers, minimizing the resource consumption of
their full stack to achieve a target performance becomes crucial. It mandates a synergy of …

Abstract Quantum Neural Networks (QNN) are considered a candidate for achieving
quantum advantage in the Noisy Intermediate Scale Quantum computer (NISQ) era. Several …

In this paper, we provide an algorithm and general framework for the simulation of photons
passing through linear optical interferometers. Given n photons at the input of an m-mode …

The exponential advancement witnessed in 5G communication and quantum computing has
presented unparalleled prospects for safeguarding sensitive data within healthcare …

Optimized power system planning and operation are core to delivering a low-cost and high-
reliability transition path to net-zero carbon emissions. The major technological changes …

Time-optimal control holds promise across the full spectrum of quantum technologies, where
the rapid generation of unitary gates and state transformations is crucial to mitigate …

This research examines the energy efficiency of city districts through the Malmquist–DEA
model and investigates the spatial effects of the service trade and the digital economy on …

We present a proposal for a one-bit full adder to process classical information based on a
few electrons in a triple quantum dot system, serving as a proof of principle for the …