Stefan Leichenauer

Publications47
h-index24
Citations1,581
Highly Influential Citations113
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Quantum focusing conjecture
We propose a universal inequality that unies the Bousso bound with the classical focussing theorem. Given a surface that need not lie on a horizon, we dene a nite generalized entropy Sgen as the area…
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Proof of the Quantum Null Energy Condition
We prove the quantum null energy condition (QNEC), a lower bound on the stress tensor in terms of the second variation in a null direction of the entropy of a region. The QNEC arose previously as a…
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Disrupting Entanglement of Black Holes
We study entanglement in thermofield double states of strongly coupled conformal field theories by analyzing two-sided Reissner-Nordstrom solutions in anti–de Sitter space. The central object of…
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Consistent effective theory of long-wavelength cosmological perturbations
Effective field theory provides a perturbative framework to study the evolution of cosmological large-scale structure. We investigate the underpinnings of this approach, and suggest new ways to…
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TensorNetwork for Machine Learning
TLDR
The encoding of image data into a matrix product state form is explained in detail, and how to contract the network in a way that is parallelizable and well-suited to automatic gradients for optimization is described.
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Holographic Proof of the Quantum Null Energy Condition
We use holography to prove the quantum null energy condition (QNEC) at leading order in large N for CFTs and relevant deformations of CFTs in Minkowski space which have Einstein gravity duals. Given…
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TensorNetwork: A Library for Physics and Machine Learning
TLDR
The use of the TensorNetwork API is demonstrated with applications both physics and machine learning, with details appearing in companion papers.
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Quantum Hamiltonian-Based Models and the Variational Quantum Thermalizer Algorithm
TLDR
This work introduces a new class of generative quantum-neural-network-based models called Quantum Hamiltonian-Based Models (QHBMs), and introduces the Variational Quantum Thermalizer (VQT) for generating the thermal state of a given Hamiltonian and target temperature.
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Quantum Graph Neural Networks
TLDR
QGNNs are introduced, a new class of quantum neural network ansatze which are tailored to represent quantum processes which have a graph structure, and are particularly suitable to be executed on distributed quantum systems over a quantum network.
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Null Geodesics, Local CFT Operators and AdS/CFT for Subregions
We investigate the nature of the AdS/CFT duality between a subregion of the bulk and its boundary. In global AdS/CFT in the classical G_N=0 limit, the duality reduces to a boundary value problem that…
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