Trapped-Ion Quantum Computing
19,132 papers
Trapped-Ion Quantum Computing Research Context
This Quantum Articles category organizes published quantum research papers so readers can browse focused work by topic, source, and year.
Showing 9601-9612 of 19,132
Insights into the behavior of certain optical systems gleaned from Feynman's approach to quantum electrodynamics
Masud Mansuripur
Interaction Between an Optically Levitated Nanoparticle and Its Thermal Image: Internal Thermometry via Displacement Sensing
Thomas Agrenius, Carlos Gonzalez-Ballestero, Patrick Maurer, Oriol Romero-Isart
Interaction graph-based characterization of quantum benchmarks for improving quantum circuit mapping techniques
Medina Bandić, Carmen G. Almudever, Sebastian Feld
Interactive Entanglement in Hybrid Opto-magno-mechanics System
Jun Wang, Jing-Yu Pan, Ya-Bo Zhao, Jun Xiong, Hai-Bo Wang
Interface dynamics in the two-dimensional quantum Ising model
Federico Balducci, Andrea Gambassi, Alessio Lerose, Antonello Scardicchio, Carlo Vanoni
Interfacing picosecond and nanosecond quantum light pulses
Filip Sośnicki, Michał Mikołajczyk, Ali Golestani, Michał Karpiński
Intermodulation Distortion in a Josephson Traveling Wave Parametric Amplifier
Ants Remm, Sebastian Krinner, Nathan Lacroix, Christoph Hellings, Francois Swiadek, Graham Norris, Christopher Eichler, Andreas Wallraff
Interplay of Structural Chirality, Electron Spin and Topological Orbital in Chiral Molecular Spin Valves
Yuwaraj Adhikari, Tianhan Liu, Hailong Wang, Zhenqi Hua, Haoyang Liu, Eric Lochner, Pedro Schlottmann, Binghai Yan, Jianhua Zhao, Peng Xiong
Interpretable Quantum Advantage in Neural Sequence Learning
Eric R. Anschuetz, Hong-Ye Hu, Jin-Long Huang, Xun Gao
Interpreting convolutional neural networks' low dimensional approximation to quantum spin systems
Yilong Ju, Shah Saad Alam, Jonathan Minoff, Fabio Anselmi, Han Pu, Ankit Patel
Intrinsic relationships of Quantum Resource Theories and their roles in Quantum Metrology
Abdallah Slaoui
Investigating Quantum Many-Body Systems with Tensor Networks, Machine Learning and Quantum Computers
Korbinian Kottmann