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Previous Programs

2019 Intelligence in the Physical World
Awardees

2019 Information as Fuel
Awardees

2018 Agency in the Physical World
Awardees; RFP download

2016 Physics of the Observer
Awardees; RFP download

2015 The Physics of What Happens
Awardees; RFP download

2013 Physics of Information
Awardees; RFP download

2010 The Nature of Time
Awardees; RFP download

2008 Foundational Questions in Physics and Cosmology
Awardees; RFP download

2006 Foundational Questions in Physics and Cosmology
Awardees; RFP download

Felix Binder
IQOQI Vienna, Austrian Academy of Sciences

Simon Milz
IQOQI Vienna, Austrian Academy of Sciences



Co-Investigators

Kavan Modi, Monash University; Felix Pollock, Monash University

Project Title

Predictive Quantum Intelligence under Physical Constraints

Project Summary

If we want to understand something about the world we have to carefully probe and observe it. For a physical phenomenon of interest - the weather, say - we can then form a model and use it to make predictions: when the sky is overcast, there is a higher chance of snowfall than on a sunny day. Arriving at such predictions requires memory and reasoning. We will only conclude that a dark sky indicates a chance of snowfall if we have previously experienced the two to be correlated. We understand intelligence as a combination of memory and the ability to think. But how much intelligence is required to make a good prediction? And what do we do if our intelligence is too limited to comprehend the full picture? In this research, we study how much an intelligent being can learn about the quantum world and what quantum aspects will remain hidden from us if we are limited in the ways in which we can interact with it - for instance, because our human senses are too limited to discern quantum phenomena with the naked eye.



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