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Found 5 papers, 3 papers with code
Operationally meaningful representations of physical systems in neural networks
To make progress in science, we often build abstract representations of physical systems that meaningfully encode information about the systems.
Discovering physical concepts with neural networks
Despite the success of neural networks at solving concrete physics problems, their use as a general-purpose tool for scientific discovery is still in its infancy.
Entropy accumulation
We ask the question whether entropy accumulates, in the sense that the operationally relevant total uncertainty about an $n$-partite system $A = (A_1, \ldots A_n)$ corresponds to the sum of the entropies of its parts $A_i$.
Quantum Physics Information Theory Information Theory
Practical, Reliable Error Bars in Quantum Tomography
The statements resulting from our method are formulated in terms of a figure of merit, such as the fidelity to a reference state.
Quantum Physics
Security of Quantum Key Distribution
We propose various new techniques in quantum information theory, including a de Finetti style representation theorem for finite symmetric quantum states.
Quantum Physics
