Quantum neural network architectures that have little to no inductive biases are known to
face trainability and generalization issues. Inspired by a similar problem, recent …

Quantum computers offer an intriguing path for a paradigmatic change of computing in the
natural sciences and beyond, with the potential for achieving a so-called quantum …

We consider monitored quantum systems with a global conserved charge, and ask how
efficiently an observer (“eavesdropper”) can learn the global charge of such systems from …

Autonomous quantum error correction (AQEC) protects logical qubits by engineered
dissipation and thus circumvents the necessity of frequent, error-prone measurement …

Some form of quantum error correction is necessary to produce large-scale fault-tolerant
quantum computers and finds broad relevance in physics. Most studies customarily assume …

It has been recently shown that there exist universal fundamental limits to the accuracy and
efficiency of the transformation from noisy resource states to pure ones (eg, distillation) in …

Unitary equivariance is a natural symmetry that occurs in many contexts in physics and
mathematics. Optimization problems with such symmetry can often be formulated as …

The Schur transform, which block-diagonalizes the tensor representation $ U^{\otimes n} $
of the unitary group $\mathbf {U} _d $ on $ n $ qudits, is an important primitive in quantum …

In this paper, we provide the first efficient algorithm for port-based teleportation, a unitarily
equivariant version of teleportation useful for constructing programmable quantum …

Universality of local unitary transformations is one of the cornerstones of quantum computing
with many applications and implications that go beyond this field. However, it has recently …