Quantum random sampling is the leading proposal for demonstrating a computational
advantage of quantum computers over classical computers. Recently the first large-scale …

We argue that an excess in entanglement between the visible and hidden units in a
quantum neural network can hinder learning. In particular, we show that quantum neural …

Quantum computing (QC) introduces a novel mode of computation with the possibility of
greater computational power that remains to be exploited—presenting exciting opportunities …

The precise control of complex quantum systems promises numerous technological
applications including digital quantum computing. The complexity of such devices renders …

Producing quantum states at random has become increasingly important in modern
quantum science, with applications being both theoretical and practical. In particular …

We present exact results on a novel kind of emergent random matrix universality that
quantum many-body systems at infinite temperature can exhibit. Specifically, we consider an …

Quantum thermalization in a many-body system is defined by the approach of local
subsystems toward a universal form, describable as an ensemble of quantum states wherein …

Despite fundamental interests in learning quantum circuits, the existence of a
computationally efficient algorithm for learning shallow quantum circuits remains an open …

We consider quantum circuits consisting of randomly chosen two-local gates and study the
number of gates needed for the distribution over measurement outcomes for typical circuit …

Optical tweezer arrays have had a transformative impact on atomic and molecular physics
over the past years, and they now form the backbone for a wide range of leading …