Information Scrambling in Quantum Neural Networks

Training deep quantum neural networks

(2020) Kerstin Beer et al.   Nature Communications

A generative modeling approach for benchmarking and training shallow quantum circuits

(2019) Marcello Benedetti et al.   npj Quantum Information

On the information bottleneck theory of deep learning

(2019) Andrew M Saxe et al.   JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT

Machine Learning Topological Invariants with Neural Networks

(2018) Pengfei Zhang et al.   PHYSICAL REVIEW LETTERS

Unscrambling the physics of out-of-time-order correlators

(2018) Brian Swingle   Nature Physics

Does gravity come from quantum information?

(2018) Xiao-Liang Qi   Nature Physics

Many-body localization and quantum thermalization

(2018) Ehud Altman   Nature Physics

Barren plateaus in quantum neural network training landscapes

(2018) Jarrod R. McClean et al.   Nature Communications

Hierarchical quantum classifiers

(2018) Edward Grant et al.   npj Quantum Information

Quantum machine learning

(2017) Jacob Biamonte et al.   NATURE

Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models

(2017) Marcello Benedetti et al.   Physical Review X

Out-of-time-order correlation for many-body localization

(2017) Ruihua Fan et al.   Science Bulletin

Chaos in quantum channels

(2016) Pavan Hosur et al.   JOURNAL OF HIGH ENERGY PHYSICS

A bound on chaos

(2016) Juan Maldacena et al.   JOURNAL OF HIGH ENERGY PHYSICS

Black holes and the butterfly effect

(2014) Stephen H. Shenker et al.   JOURNAL OF HIGH ENERGY PHYSICS