22 citations · 51 across the 13 of their papers we have counts for
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Hamiltonian truncation tensor networks for quantum field theories
Philipp Schmoll, Jan Naumann, Alexander Nietner +2
Understanding the equilibrium properties and out of equilibrium dynamics of quantum field theories are key aspects of fundamental problems in theoretical particle physics and cosmo…
Unifying (Quantum) Statistical and Parametrized (Quantum) Algorithms
Alexander Nietner
Kearns' statistical query (SQ) oracle (STOC'93) lends a unifying perspective for most classical machine learning algorithms. This ceases to be true in quantum learning, where many…
Classical Verification of Quantum Learning
Matthias C. Caro, Marcel Hinsche, Marios Ioannou +2
Quantum data access and quantum processing can make certain classically intractable learning tasks feasible. However, quantum capabilities will only be available to a select few in…
Free Fermion Distributions Are Hard to Learn
Alexander Nietner
Free fermions are some of the best studied quantum systems. However, little is known about the complexity of learning free-fermion distributions. In this work we establish the hard…
On the average-case complexity of learning output distributions of quantum circuits
Alexander Nietner, Marios Ioannou, Ryan Sweke +4
In this work, we show that learning the output distributions of brickwork random quantum circuits is average-case hard in the statistical query model. This learning model is widely…