Collaborating Authors

Cambridge Quantum's TKET quantum software developer kit fully open source


Cambridge Quantum said its quantum software development kit, known as TKET, is fully open sourced. The SDK is designed to be hardware agnostic. The company, which is merging with Honeywell Quantum, said its plan was to completely open source TKET by the end of 2021. Ilyas Khan, CEO of Cambridge Quantum, said the community of developers for TKET has surged since announcing that it will be completely open sourced. Software platforms for quantum computing have become hot commodities.

Implications of Quantum Computing for Artificial Intelligence alignment research Artificial Intelligence

Quantum Computing (QC) is a disruptive technology that may not be too far ahead in the horizon. Small proof-of-concept quantum computers have already been built [1] and major obstacles to large-scale quantum computing are being heavily researched [2] . Among its potential uses, QC will allow breaking classical cryptographic codes, simulate large quantum systems and faster search and optimization [3] . This last use case is of particular interest to Artificial Intelligence (AI) Strategy. In particular, variants of the Grover algorithm can be exploited to gain a quadratic speedup in search problems, and some recent Quantum Machine Learning (QML) developments have led to exponential gains in certain Machine Learning tasks [4] (though with important caveats which may invalidate their practical use [5]). These ideas have the potential to exert a transformative effect on research in AI (as noted in [6], for example). Furthermore the technical aspects of QC, which put some physical limits on the observation of the inner workings of a quantum machine and hinder the verification of quantum computations [7], may pose an additional challenge for AI Alignment concerns. In this short article we introduce a heuristic model of quantum computing that captures the most relevant characteristics of QC for technical AI Alignment research.

Why Alibaba is betting big on AI chips and quantum computing

MIT Technology Review

During the opening ceremony of Alibaba's 2018 computing conference last week, Simon Hu, president of Alibaba Cloud, invited the MC to taste some tea on the stage--but, first, to distinguish between tea roasted by hand and by machine. While the MC stared helplessly at two saucers filled with nearly identical-looking tea leaves, Hu pulled out his smartphone. He took a photo of each saucer and fed them into an app developed by Tmall, one of Alibaba's e-commerce platforms. Using an algorithm specially trained to tell the difference between different kinds of tea leave, the app solved the problem. It was a small example of the interplay between Alibaba's research on fundamental technologies and the demands of its business.

Quantum Internet Is 13 Years Away. Wait, What's Quantum Internet?


A year ago this week, Chinese physicists launched the world's first quantum satellite. Unlike the dishes that deliver your Howard Stern and cricket tournaments, this 1,400-pound behemoth doesn't beam radio waves. Instead, the physicists designed it to send and receive bits of information encoded in delicate photons of infrared light. It's a test of a budding technology known as quantum communications, which experts say could be far more secure than any existing info relay system. They've kept the satellite busy.