Search Results for author: Stefan Leichenauer

Found 10 papers, 6 papers with code

Quantum Gravity in the Lab: Teleportation by Size and Traversable Wormholes, Part II

no code implementations1 Feb 2021 Sepehr Nezami, Henry W. Lin, Adam R. Brown, Hrant Gharibyan, Stefan Leichenauer, Grant Salton, Leonard Susskind, Brian Swingle, Michael Walter

In [1] we discussed how quantum gravity may be simulated using quantum devices and gave a specific proposal -- teleportation by size and the phenomenon of size-winding.

Quantum Physics High Energy Physics - Theory

Entanglement and Tensor Networks for Supervised Image Classification

no code implementations12 Jul 2020 John Martyn, Guifre Vidal, Chase Roberts, Stefan Leichenauer

For that purpose, we propose a plausible candidate state $|\Sigma_{\ell}\rangle$ (built as a superposition of product states corresponding to images in the training set) and investigate its entanglement properties.

BIG-bench Machine Learning Classification +3

Anomaly Detection with Tensor Networks

no code implementations3 Jun 2020 Jinhui Wang, Chase Roberts, Guifre Vidal, Stefan Leichenauer

Originating from condensed matter physics, tensor networks are compact representations of high-dimensional tensors.

Anomaly Detection Computational Efficiency +1

Investigating Quantum Approximate Optimization Algorithms under Bang-bang Protocols

1 code implementation27 May 2020 Daniel Liang, Li Li, Stefan Leichenauer

The quantum approximate optimization algorithm (QAOA) is widely seen as a possible usage of noisy intermediate-scale quantum (NISQ) devices.

Quantum Physics

Quantum Hamiltonian-Based Models and the Variational Quantum Thermalizer Algorithm

no code implementations4 Oct 2019 Guillaume Verdon, Jacob Marks, Sasha Nanda, Stefan Leichenauer, Jack Hidary

We introduce a new class of generative quantum-neural-network-based models called Quantum Hamiltonian-Based Models (QHBMs).

Quantum Graph Neural Networks

2 code implementations26 Sep 2019 Guillaume Verdon, Trevor McCourt, Enxhell Luzhnica, Vikash Singh, Stefan Leichenauer, Jack Hidary

We introduce Quantum Graph Neural Networks (QGNN), 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.

Clustering

TensorNetwork on TensorFlow: Entanglement Renormalization for quantum critical lattice models

1 code implementation28 Jun 2019 Martin Ganahl, Ashley Milsted, Stefan Leichenauer, Jack Hidary, Guifre Vidal

We use the MERA to approximate the ground state wave function of the infinite, one-dimensional transverse field Ising model at criticality, and extract conformal data from the optimized ansatz.

Computational Physics

TensorNetwork for Machine Learning

1 code implementation7 Jun 2019 Stavros Efthymiou, Jack Hidary, Stefan Leichenauer

We demonstrate the use of tensor networks for image classification with the TensorNetwork open source library.

BIG-bench Machine Learning General Classification +2

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