Presenting CQT's Annual Report for 2020

 

In his first Director's letter since taking leadership of CQT, José Ignacio Latorre writes, "One lesson we all know: science is truly unstoppable. The year of the pandemic has been a time of dramatic actions in quantum research. We went through a very difficult year, full of constraints and isolation, while interest for quantum technologies percolated in the minds of decision makers...Quantum is on the rise." Rounding up a year like no other in CQT's history, our report highlights research that continued through a pandemic and the handover of our Directorship. We hope you find it informative and interesting.



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Meet A CQTian: José Ignacio Latorre

“When I look back at what it means to be a scientist, I always divide my life into three parts. One is generating knowledge, the second is passing it to new generations – this can be by teaching and outreach – and the third is making the first steps to translation. These are for me the three pillars of being a scientist and I think it is the same for CQT,” says José Ignacio. Read about José Ignacio’s views on the quantum landscape and his vision for CQT in this interview.

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Improved security analysis for quantum communications from space

CQT’s Charles Lim and Artur Ekert report with experimentalist colleagues from China a more efficient security proof method for short keys. The improved analysis could be particularly useful for satellite-based quantum communication systems, which typically operate with slower data rates than their terrestrial counterparts.

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A surprise twist in their QKD  workshop engaged school students, inspiring CQT researchers to publish details of the hands-on demo they designed.

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Prizes awarded to directors in Spain, the United Kingdom and India for quantum storytelling on screen

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Machine learning technique could aid photonic crystal design

Designers of photonic crystals might be able to better predict the properties of new light-controlling materials with an approach proposed by CQT Senior Research Fellow Daniel Leykam and Principal Investigator Dimitris Angelakis. The approach uses a technique from machine learning known as ‘persistent homology’ and could make it easier to design man-made photonic crystals for specific applications.

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Centre for Quantum Technologies, NUS
Science Drive 2 Block S15-03-18
Singapore 117543

cqtsec@nus.edu.sg
+65 6516 2818