Efficient unitary designs with a system-size independent number of non-Clifford gates

Kavli Affiliate: David Gross | First 5 Authors: Jonas Haferkamp, Felipe Montealegre-Mora, Markus Heinrich, Jens Eisert, David Gross | Summary: Many quantum information protocols require the implementation of random unitaries. Because it takes exponential resources to produce Haar-random unitaries drawn from the full $n$-qubit group, one often resorts to $t$-designs. Unitary $t$-designs mimic the Haar-measure […]


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Quantum Detection using Magnetic Avalanches in Single-Molecule Magnets

Kavli Affiliate: Giorgio Gratta | First 5 Authors: Hao Chen, Rupak Mahapatra, Glenn Agnolet, Michael Nippe, Minjie Lu | Summary: The detection of a single quantum of energy with high efficiency and low false positive rate is of considerable scientific interest, from serving as single quantum sensors of optical and infra-red photons to enabling the […]


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Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration

Kavli Affiliate: Peter Ford | First 5 Authors: Cédric Colas, Tristan Karch, Nicolas Lair, Jean-Michel Dussoux, Clément Moulin-Frier | Summary: Developmental machine learning studies how artificial agents can model the way children learn open-ended repertoires of skills. Such agents need to create and represent goals, select which ones to pursue and learn to achieve them. […]


Continue.. Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration

Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration

Kavli Affiliate: Peter Ford | First 5 Authors: Cédric Colas, Tristan Karch, Nicolas Lair, Jean-Michel Dussoux, Clément Moulin-Frier | Summary: Developmental machine learning studies how artificial agents can model the way children learn open-ended repertoires of skills. Such agents need to create and represent goals, select which ones to pursue and learn to achieve them. […]


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On the Search for Feedback in Reinforcement Learning

Kavli Affiliate: Ran Wang | First 5 Authors: Ran Wang, Karthikeya S. Parunandi, Aayushman Sharma, Raman Goyal, Suman Chakravorty | Summary: The problem of Reinforcement Learning (RL) in an unknown nonlinear dynamical system is equivalent to the search for an optimal feedback law utilizing the simulations/ rollouts of the dynamical system. Most RL techniques search […]


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