228 citations · 1.5k across the 45 of their papers we have counts for
12 papers · 1 filter
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…
Particle-preserving fermionic shadows with mode-independent sample complexity
Maxwell West, M. Cerezo, Martin Larocca
We consider the problem of learning expectation values of particle-preserving operators with respect to an unknown -particle -mode fermionic state via classical shadows. Our…
Classical shadows over symmetric spaces
Rebecca Chang, Maureen Krumtünger, Martin Larocca +1
Efficiently learning expectation values of unknown quantum states via classical shadows has become an important primitive in both theoretical and experimental aspects of quantum co…
Classical shadows with arbitrary group representations
Maxwell West, Frederic Sauvage, Aniruddha Sen +6
Classical shadows (CS) has recently emerged as an important framework to efficiently predict properties of an unknown quantum state. A common strategy in CS protocols is to paramet…
The commutant of fermionic Gaussian unitaries
Paolo Braccia, N. L. Diaz, Martin Larocca +2
In this work, we characterize the -th order commutants of fermionic Gaussian unitaries and of their particle-preserving subgroup acting on fermionic modes. These commutants…
Practical framework for simulating permutation-equivariant quantum circuits
Su Yeon Chang, Martin Larocca, M. Cerezo
Understanding which subclasses of quantum circuits are efficiently classically simulable is fundamental to delineating the boundary between classical and quantum computation. In th…
Group Fourier filtering of quantum resources in quantum phase space
Luke Coffman, N. L. Diaz, Martin Larocca +2
Recently, it has been shown that group Fourier analysis of quantum states, i.e., decomposing them into the irreducible representations (irreps) of a symmetry group, enables new way…