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

Gaussian states have played an important role in the physics of continuous-variable
quantum systems. They are appealing for the experimental ease with which they can be …

Quantum computers promise to dramatically outperform their classical counterparts.
However, the nonclassical resources enabling such computational advantages are …

A growing cohort of experimental linear photonic networks implementing Gaussian boson
sampling (GBS) have now claimed quantum advantage. However, many open questions …

Sampling from the output distributions of quantum computations comprising only commuting
gates, known as instantaneous quantum polynomial (IQP) computations, is believed to be …

Boson sampling has emerged as an important tool to demonstrate the difference between
quantum and classical computers and has attracted the interest of experimentalists and …

We propose efficient classical algorithms which (strongly) simulate the action of bosonic
linear optics circuits applied to superpositions of Gaussian states. Our approach relies on an …

Negativity of the Wigner function is arguably one of the most striking non-classical features
of quantum states. Beyond its fundamental relevance, it is also a necessary resource for …

Bosonic qubits are a promising route to building fault-tolerant quantum computers on a
variety of physical platforms. Studying the performance of bosonic qubits under realistic …

This work introduces an approach to quantum simulation by leveraging continuous-variable
systems within a photonic hardware-inspired framework. The primary focus is on simulating …