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 13597-13608 of 19,132

Low-cost limit of classical communication with restricted quantum measurements

Ludwig Kunz, Marcin Jarzyna, Wojciech Zwolinski, Konrad Banaszek

2019 arXiv arXiv preprint

Low-density expansions for the homogeneous dipolar Bose gas at zero temperature

Alexander Yu. Cherny

2019 arXiv arXiv preprint

Lower Bounds for Function Inversion with Quantum Advice

Kai-Min Chung, Tai-Ning Liao, Luowen Qian

2019 arXiv arXiv preprint

Machine learning engineering of quantum currents

Tobias Haug, Rainer Dumke, Leong-Chuan Kwek, Christian Miniatura, Luigi Amico

2019 arXiv arXiv preprint

Machine learning for molecular simulation

Frank Noé, Alexandre Tkatchenko, Klaus-Robert Müller, Cecilia Clementi

2019 arXiv arXiv preprint

Machine learning logical gates for quantum error correction

Hongxiang Chen, Michael Vasmer, Nikolas P. Breuckmann, Edward Grant

2019 arXiv arXiv preprint

Magnon-photon strong coupling for tunable microwave circulators

Na Zhu, Xu Han, Chang-Ling Zou, Mingrui Xu, Hong X. Tang

2019 arXiv arXiv preprint

Manipulating entanglement sudden death in two coupled two-level atoms interacting off-resonance with a radiation field: an exact treatment

Gehad Sadiek, Wiam Al-Drees, M. Sebaweh Abdallah

2019 arXiv arXiv preprint

Manipulating photonic signals by a multipurpose quantum junction

M. Ahumada, P. A. Orellana, A. V. Malyshev

2019 arXiv arXiv preprint

Many-body calculations for periodic materials via quantum machine learning

Shu Kanno, Tomofumi Tada

2019 arXiv arXiv preprint

Many-body quantum heat engines with shortcuts to adiabaticity

Andreas Hartmann, Victor Mukherjee, Wolfgang Niedenzu, Wolfgang Lechner

2019 arXiv arXiv preprint

Markovian Entanglement Dynamics under Locally Scrambled Quantum Evolution

Wei-Ting Kuo, A. A. Akhtar, Daniel P. Arovas, Yi-Zhuang You

2019 arXiv arXiv preprint