331 citations · 1.9k across the 35 of their papers we have counts for
7 papers · 1 filter
Quantum Gravity in the Lab: Teleportation by Size and Traversable Wormholes, Part II
Sepehr Nezami, Henry W. Lin, Adam R. Brown +6
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. Here we ela…
Machine learning of high dimensional data on a noisy quantum processor
Evan Peters, João Caldeira, Alan Ho +6
We present a quantum kernel method for high-dimensional data analysis using Google's universal quantum processor, Sycamore. This method is successfully applied to the cosmological…
Entanglement and Tensor Networks for Supervised Image Classification
John Martyn, Guifre Vidal, Chase Roberts +1
Tensor networks, originally designed to address computational problems in quantum many-body physics, have recently been applied to machine learning tasks. However, compared to quan…
Investigating Quantum Approximate Optimization Algorithms under Bang-bang Protocols
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. We analyze the algorithm as a bang-bang…
Quantum Hamiltonian-Based Models and the Variational Quantum Thermalizer Algorithm
Guillaume Verdon, Jacob Marks, Sasha Nanda +2
We introduce a new class of generative quantum-neural-network-based models called Quantum Hamiltonian-Based Models (QHBMs). In doing so, we establish a paradigmatic approach for qu…
Quantum Graph Neural Networks
Guillaume Verdon, Trevor McCourt, Enxhell Luzhnica +3
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…