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• Supplement human ingenuity in science, thereby opening up new areas of thinking and hopefully fuel new breakthroughs and discoveries• Change the face of scientific research and revolutionise how research and development is undertaken• Continue to promote the benefits of collaboration A marriage of technological innovation and human ingenuity Professor Feng Dong is the coordinator of an exciting research project that marries scientific creativity and innovation to supplement human ingenuity in science. Below, he describes his background, the inspirations behind this unique undertaking, and how collaboration plays a vital role in the success of the projectCan you begin by introducing yourself, your key research interests and passions in life and work?I am a Professor of Visual Computing at the University of Bedfordshire, UK. I joined the University in September 2007, having previously worked at Brunel University, UK. I was awarded my PhD from Zhejiang University in China, where I became a member of the academic staff at the State Key Lab of CAD and Computer Graphics, the leading computer graphics lab in China. I have also worked as a lecturer at Lancaster University in the UK.I have many research interests, including computer graphics, medical visualisation and image processing. Much of my recent work has developed into new areas, including visual analytics, pattern recognition, imagebased rendering and figure animation. I am currently leading a research team that has been involved in large-scale research grants in healthcare and creative learning from national and European funding bodies. My team is working on big data management and storage on a cloud environment; mining and visualisation of massive data; and text mining and semantics of web information. I am coordinating two European projects, and am the Principal Investigator of external research funding in excess of 2 million euros.The Dr Inventor project is built on the idea that technologies have the potential to supplement human ingenuity in science. Can you elaborate on this?While human creative thinking is a far more complicated process than can be replicated by machines, our capacity is often severely limited by human nature. A sound knowledge base of an individual requires many years of study to formulate. In addition, people suffer from limited working memory and a lot of thinking barriers, such as selective thinking, perception limitation, biases, problem fixation, etc. Studies have also shown that human thinking is often affected by many unpredictable factors, such as attention spans, environment and health. The vision of Dr Inventor is that we can enhance human creativity by seamlessly integrating modern technologies with human ability. Dr Inventor is designed to experiment and understand technology potentials in human creative processes to enhance domain-specific human creative performance. The consortium has been formed by eight partners across five different EU countries, ranging from East to West, which covers all the essential elements of th...

Entanglement-assisted quantum error-correcting codes (EAQECCs) to desired rate, error-correcting capability and maximum shared entanglement are constructed. Thus for a required rate R, required error-correcting capability to correct t errors, mds (maximum distance separable) EAQECCs of the form [[n, r, d; c]] with R = r n , d ≥ (2t + 1), c = (n − r), d = (n − r + 1) are constructed. Series of such codes may be constructed where the rate and the relative distance approach non-zero constants as n approaches infinity. The codes may also be constructed over prime order fields in which modular arithmetic may be employed.

Maximum distance separable (MDS) are constructed to required specifications. The codes are explicitly given over finite fields with efficient encoding and decoding algorithms. Series of such codes over finite fields with ratio of distance to length approaching (1 − R) for given R, 0 < R < 1 are derived. For given rate R = r n , with p not dividing n, series of codes over finite fields of characteristic p are constructed such that the ratio of the distance to the length approaches (1 − R). For a given field GF (q) MDS codes of the form (q − 1, r) are constructed for any r. The codes are encompassing, easy to construct with efficient encoding and decoding algorithms of complexity max{O(n log n), t 2 }, where t is the error-correcting capability of the code.

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