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Playing Quantum

Objective

Hundreds of millions of people worldwide are opting out of reality for larger and larger chunks of time to play video games. This “mass esodus” to game spaces is creating a massive virtual silo of cognitive effort and collective attention lavished on game world instead of real world. Game industry is more and more interested in channeling this enormous amount of human brainpower by designing games with a purpose.
Several successful examples show that it is indeed possible to develop video games in which people solve computationally intractable research problems as a side effect of playing. Humans are better than computers at performing certain tasks because of their intuition and superior visual processing. Human intuition has been proven useful, for example, in exploring the complex configuration landscape typical of quantum optimal control theory.
The identification of optimally controlled quantum probes is an ideal candidate for gamification. QPlay’s vision is the production and launch of massively-collaborative online video games solving research tasks in quantum technologies by means of hybrid human-computer interaction, complemented with machine learning algorithms.
To achieve this vision, we need to build hybrid industries and unconventional partnerships, involving academia, so that game researchers, designers and developers can work with quantum physicists, machine learning experts, and educators to harness the power of games for research. QPlay aims at i) exploring the feasibility of an exploitation path by coordinating and supporting the assembling of the right knowledge, skills and resources, ii) the identification of strategic partners, iii) the exploration of the market, and iv) the development of a business plan. In this way it serves as a launch pad to a novel commercial product with the potential to revolutionise quantum research, accelerate the creation of quantum technologies industries while actively engaging, informing and educating society.

Field of science

  • /natural sciences/computer and information sciences/software/application software/video games
  • /natural sciences/computer and information sciences/artificial intelligence/machine learning

Call for proposal

H2020-FETOPEN-4-2016-2017
See other projects for this call

Funding Scheme

CSA - Coordination and support action

Coordinator

TURUN YLIOPISTO
Address
Yliopistonmaki
20014 Turku
Finland
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 99 405