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The paper that started it all: a historical look at the Cirac-Zoller gate.

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A Review and Discussion of Variational Quantum Anomaly Detection by marcussedwards

July 8, 2021 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 by Darian Hartsell

February 26, 2021 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? by Ariel Shlosberg

February 11, 2021 Classical machine learning is much more powerful than may be naively assumed.

Landau-Zener interference: a “beam splitter” for controlling composite qubits by Haimeng Zhang

January 31, 2021 A scalable solution for universal control in low-frequency superconducting qubits.

The first trapped-ion quantum computer proposal by Katie McCormick

January 29, 2021 The paper that started it all: a historical look at the Cirac-Zoller gate.

Will Quantum Computers without Error Correction be Useful for Optimization? by Matthew Kowalsky

January 19, 2021 A new analytic technique has been developed to provide answers.

Integrated photonics in an ion-trap chip: a massive step toward scalability by evanreed298

January 11, 2021 A path to scalability for trapped-ion quantum computing

Quadratic speedups aren’t enough in the near term by Alex Buser

January 1, 2021 Why we may need to look beyond modest polynomial speedups for quantum advantage

Uncertainties Regarding Uncertainties: Modern Lessons from Entropy and Quantum Information Theory by Tzula Propp

December 31, 2020 What is uncertainty, and how can entropy help us quantify it?

Solving nonlinear differential equations on a quantum computer by Alex Buser

December 7, 2020 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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