228 citations · 1.5k across the 45 of their papers we have counts for
47 papers
Fermionic Gaussianity can be tested with mode-independent sample-complexity
Maxwell West, Martin Larocca
Deciding whether an unknown quantum state either belongs to, or is far from, a given family of states is a natural question of quantum information theory. In many such cases, there…
Practical fermionic shadows enabled by improved sample-complexity bounds
Maxwell West, Su Yeon Chang, Luke Coffman +2
Classical shadow tomography is widely touted as supplying a family of methods for extracting information from quantum systems with polynomially scaling sample-complexities. In the…
Strong matchgate designs in nearly optimal depth
Maxwell West, M. Cerezo, Martin Larocca
Understanding the resources required to generate approximately random unitaries over various groups is a natural goal of quantum information theory. With respect to one notion of a…
Sample-optimal learning of stabilizer states
Rebecca Chang, Matthias C. Caro, Martin Larocca +1
It is well-known that learning a pure -qubit stabilizer state both requires, and can be accomplished with, access to a number of copies of linear in .…
Ambient unitaries don't enable shallow group designs
Maxwell West, M. Cerezo, Martin Larocca
Characterising the efficiency with which designs over various subsets of the unitary group may be constructed is an important goal of quantum information theory. While it is now kn…
Quantum machine learning models for graphs
Frédéric Sauvage, Pranav Kalidindi, Frederic Rapp +1
Geometric Machine Learning (GML) successes have been achieved through the thorough study and design of new equivariant neural networks. In comparison, geometric quantum machine lea…