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The first trapped-ion quantum computer proposal
The paper that started it all: a historical look at the Cirac-Zoller gate.
Latest Posts
- A Review and Discussion of Variational Quantum Anomaly Detection
VQAD is a new quantum machine learning algorithm for learning a quantum system’s phase diagram. - Speeding up Control-Z gates on a fluxonium quantum computer
How to perform fast logic with slow qubits, and the future of NISQ processors. - Just How Much Better is Quantum Machine Learning than its Classical Counterpart?
Classical machine learning is much more powerful than may be naively assumed. - Landau-Zener interference: a “beam splitter” for controlling composite qubits
A scalable solution for universal control in low-frequency superconducting qubits. - The first trapped-ion quantum computer proposal
The paper that started it all: a historical look at the Cirac-Zoller gate. - Will Quantum Computers without Error Correction be Useful for Optimization?
A new analytic technique has been developed to provide answers. - Integrated photonics in an ion-trap chip: a massive step toward scalability
A path to scalability for trapped-ion quantum computing - Quadratic speedups aren’t enough in the near term
Why we may need to look beyond modest polynomial speedups for quantum advantage - Uncertainties Regarding Uncertainties: Modern Lessons from Entropy and Quantum Information Theory
What is uncertainty, and how can entropy help us quantify it? - Solving nonlinear differential equations on a quantum computer
A new quantum algorithm for solving nonlinear ODEs with exponential speedup
Qubytes provides bite-sized summaries of quantum information research posted on arxiv quant-ph. Written by graduate students/postdocs for the undergraduate level. Join us or support our authors by contacting us at qubytes@gmail.com.
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Background image courtesy of Flickr/IBM Research, licensed under CC BY-ND 2.0.
