123 citations · 370 across the 12 of their papers we have counts for
5 papers · 2 filters
Resource frugal optimizer for quantum machine learning
Charles Moussa, Max Hunter Gordon, Michal Baczyk +3
Quantum-enhanced data science, also known as quantum machine learning (QML), is of growing interest as an application of near-term quantum computers. Variational QML algorithms hav…
Inference-Based Quantum Sensing
C. Huerta Alderete, Max Hunter Gordon, Frederic Sauvage +4
In a standard Quantum Sensing (QS) task one aims at estimating an unknown parameter , encoded into an -qubit probe state, via measurements of the system. The success of this…
The battle of clean and dirty qubits in the era of partial error correction
Daniel Bultrini, Samson Wang, Piotr Czarnik +4
When error correction becomes possible it will be necessary to dedicate a large number of physical qubits to each logical qubit. Error correction allows for deeper circuits to be r…
Covariance matrix preparation for quantum principal component analysis
Max Hunter Gordon, M. Cerezo, Lukasz Cincio +1
Principal component analysis (PCA) is a dimensionality reduction method in data analysis that involves diagonalizing the covariance matrix of the dataset. Recently, quantum algorit…
Algebraic Bethe Circuits
Alejandro Sopena, Max Hunter Gordon, Diego García-Martín +2
The Algebraic Bethe Ansatz (ABA) is a highly successful analytical method used to exactly solve several physical models in both statistical mechanics and condensed-matter physics.…