Search

National science award for CQT’s Yvonne Gao

An in-depth review of algorithms for noisy quantum computers

Popular Q Camp materials shared online for school students

Researchers propose tool to extract better performance from noisy quantum computers

CQT researchers land on a magic wavelength for scaling atomic arrays

Good choices from fewer qubits: new scheme solves optimisation problems efficiently

Presenting CQT’s Annual Report for 2020

Doing quantum machine learning without going digital

Machine learning technique could aid photonic crystal design

How to show quantum advantage in a noisy quantum computer

Browser not supported

Modern websites need modern browsers

To enjoy the full experience, please upgrade your browser

Try this browser
A pie chart showing the count of papers with CQT co-authors in 2024 by journal impact factor

Publications by CQT researchers during 2024 by journal impact factor (IF)​

A pie chart showing the nationality of CQTians by region of the world.

Nationalities of CQT staff and students as of 31 Dec 2024​

A pie chart showing the count of CQTians by categories

Count of CQT staff and students as of 31 Dec 2024​

*Admin count includes only staff directly employed within the Centre. HR, IT and procurement is supported by additional staff working across University centres.