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

Since the 1980s, researchers have taken giant steps in understanding how to use quantum
mechanics for solving real problems—for example, making a computer that works according …

We present hybrid-integrated extended cavity diode lasers tunable around 637 nm, with a
gain-wide spectral coverage of 8 nm. This tuning range addresses the zero-phonon line of …

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 …

Quantum field theory (QFTh) simulators simulate physical systems using quantum circuits
that process quantum information (qubits) via single field (SF) and/or quantum double field …

Quantum state tomography (QST), the process through which the density matrix of a
quantum system is characterized from measurements of specific observables, is a …

Photonic simulators are increasingly used to study physical systems for their affluent
manipulable degrees of freedom. The advent of photonic chips offers a promising path …

Highly pure and indistinguishable photons are a prerequisite for use in quantum information
processing. We introduce protocols for the distillation of indistinguishable photons that offer …

Improving the indistinguishability of single photons is a crucial prerequisite for achieving
large-scale photonic quantum computation. Photon distillation uses quantum interference to …

Traditional refrigeration is driven either by external forces or by the information-feedback
mechanism. Surprisingly, quantum measurement and collapse, typically viewed as …