Efficiently measuring nonlinear properties, like the entanglement spectrum, is a significant
yet challenging task from quantum information processing to many-body physics. Current …

Unreliable quantum processes stemming from noisy operations and interactions with the
environment represent one of the greatest challenges to be overcome in the development of …

Optical continuous-variable cluster states (CVCSs) in combination with Gottesman-Kitaev-
Preskill (GKP) qubits enable fault-tolerant quantum computation so long as these resources …

Quantum multidimensional scaling is a quantum dimensionality reduction algorithm. Its
complex quantum circuit design structure and excessive qubits consumption make it difficult …

States with negative Wigner function, a significant subclass of non-classical states, serve as
a valuable resource for various quantum information processing tasks. Here, we provide a …

We analyze the energy and training data requirements for supervised learning of an $ M $-
mode linear optical circuit by minimizing an empirical risk defined solely from the action of …

In the rapidly advancing field of quantum technologies, integrated quantum photonics
merges quantum mechanics with photonics, promising breakthroughs in communication …

In the context of variational compiling of a continuous-variable (CV) unitary operation, the
architecture and parameter space of the Xanadu X8 processor constrain both the set of …