Quantum learning theory is a new and very active area of research at the intersection of
quantum computing and machine learning. Important breakthroughs in the past two years …

Magic (nonstabilizerness) is a necessary but “expensive” kind of “fuel” to drive universal fault-
tolerant quantum computation. To properly study and characterize the origin of quantum …

Quantum chaos has become a cornerstone of physics through its many applications. One
trademark of quantum chaotic systems is the spread of local quantum information, which …

We present a new graphical calculus that is sound and complete for a universal family of
quantum circuits, which can be seen as the natural string-diagrammatic extension of the …

Magic state distillation is a crucial yet resource-intensive process in fault-tolerant quantum
computation. The protocol's overhead, defined as the number of input magic states required …

We analyze the complexity of learning $ n $-qubit quantum phase states. A degree-$ d $
phase state is defined as a superposition of all $2^ n $ basis vectors $ x $ with amplitudes …

Developing quantum computers for real-world applications requires understanding
theoretical sources of quantum advantage and applying those insights to design more …

Magic states have been widely studied in recent years as resource states that help quantum
computers achieve fault-tolerant universal quantum computing. The fault-tolerant quantum …

We present a smorgasbord of results on the stabiliser ZX-calculus for odd prime-
dimensional qudits (ie qupits). We derive a simplified rule set that closely resembles the …

Recently, an algorithm has been constructed that shows that the binary icosahedral group 2I
together with a T-like gate forms the most efficient single-qubit universal gate set. To carry …