Mobile Data Gathering and Preliminary Analysis for the Functional Reach Test. [PDF]
Francisco L+6 more
europepmc +1 more source
What can we Learn from Quantum Convolutional Neural Networks?
Quantum Convolutional Neural Networks have been long touted as one of the premium architectures for quantum machine learning (QML). But what exactly makes them so successful for tasks involving quantum data? This study unlocks some of these mysteries; particularly highlighting how quantum data embedding provides a basis for superior performance in ...
Chukwudubem Umeano+3 more
wiley +1 more source
Multi-Sensor Fusion for Wheel-Inertial-Visual Systems Using a Fuzzification-Assisted Iterated Error State Kalman Filter. [PDF]
Huang G+7 more
europepmc +1 more source
Efficient Simulation of Open Quantum Systems on NISQ Trapped‐Ion Hardware
Open quantum systems exhibit rich dynamics that can be simulated efficiently on quantum computers, allowing us to learn more about their behavior. This work applies a new method to simulate certain open quantum systems on noisy trapped‐ion quantum hardware.
Colin Burdine+3 more
wiley +1 more source
Open and Closed Loop Approaches for Energy Efficient Quantum Optimal Control
Concepts from quantum thermodynamics and optimal control are blended to derive a theoretical framework to quantify and minimize the energetic cost of a pulse for unitary synthesis. Two complementary techniques (based on GRAPE and Reinforce‐DRL) are implemented as open‐source software that co‐optimizes the fidelity and energetic cost within quantum ...
Sebastiaan Fauquenot+2 more
wiley +1 more source
Quantum Circuit Design using a Progressive Widening Enhanced Monte Carlo Tree Search
This article proposes the Progressive Widening enhanced Monte Carlo Tree Search (PWMCTS) to design parameterized quantum circuits. It improves the efficiency of the previous MCTS‐based techniques in terms of number of quantum circuit evaluation, number of gates and CNOT count.
Vincenzo Lipardi+3 more
wiley +1 more source
Real‐time Nonlinear Model Predictive Control of a Robotic Arm Using Spatial Operator Algebra Theory
ABSTRACT Nonlinear model predictive control (NMPC) has inherent challenges, such as high computational burden, nonconvex optimization, and the necessity of powerful and fast processors with large memory for real‐time robotics. In this study, a new NMPC strategy is proposed using Spatial Operator Algebra (SOA) theory to address these challenges, and ...
Tuğçe Yaren, Selçuk Kizir
wiley +1 more source
Towards a Semiautonomous Young Spruce Forest Late Cleaning
ABSTRACT Cleaning a seedling spruce stand is an important silvicultural task required to help the young spruce trees thrive. It is usually manual work with a clearing saw. Mechanized solutions have been proposed, but they have not worked out well, since the driver has challenges in seeing the seedling trees that should be left growing.
Issouf Ouattara+3 more
wiley +1 more source
Multiple Population Genetic Algorithm‐Based Inverse Kinematics Solution for a 6‐DOF Manipulator
ABSTRACT Compared to traditional fixed configuration manipulators, modular manipulators occupy less space, offer greater flexibility, and demonstrate stronger adaptability to diverse environments. These characteristics make them particularly suitable for operating in unknown environments, such as disaster rescue and pipeline inspection.
Shuhuan Wen+5 more
wiley +1 more source
Fulfilling the Promise of ‘Leaving No One Behind’: Exploring Institutional Pathways to Success
ABSTRACT The 2030 Agenda's Leaving No One Behind (LNOB) principle has the potential to offer a new approach to development, but whether it is achieved largely depends on how it is institutionalised within countries. This research provides the first empirical study into the relation between institutionalisation of LNOB and its goal achievement.
Eileen de Jong+2 more
wiley +1 more source