Abstract: In this correspondence, we consider sampling continuous-time periodic bandlimited signals which contain additive shot noise. The classical sampling scheme does not perfectly recover these ...

One of the primary motivations for building quantum computers is to simulate quantum many-body systems. While significant progress has been made in simulating quantum dynamics, much less is known ...

Quantum advantage: Schematic diagram of the Zuchongzhi-3 chip. 105 qubits and 182 couplers are integrated on the same chip to perform quantum random circuit sampling tasks. (Courtesy: USTC) ...

From Billy Joel’s inability to resist a good Beethoven melody to Lady Gaga’s sampling of rhapsodic violin solos, here are the greatest examples of classical samples in pop. In 19 cases of chicken and ...

Boltzmann machines are a well established model for classical machine learning, based on ideas rooted in physics like thermal distributions. Roughly eight years ago now, quantum Boltzmann machines ...

Since its introduction boson sampling has been the subject of intense study in the world of quantum computing. In the context of Fock-state boson sampling, the task is to sample independently from the ...

Abstract: Representing a continuous-time signal by a set of samples is a classical problem in signal processing. We study this problem under the additional constraint that the samples are quantized or ...

Restricted Boltzmann machines are common machine learning models that can utilize quantum annealing devices in their training processes as quantum samplers. While this approach has shown promise as an ...