Gaussian boson sampling (GBS) is quantum sampling task in which one has to draw samples from the photon-number distribution of a large-dimensional nonclassical squeezed state of light. In an effort to make this task intractable for a classical computer, experiments building GBS machines have mainly focused on increasing the dimensionality and squeezing strength of the nonclassical light. However, no experiment has yet demonstrated the ability to displace the squeezed state in phase-space, which is generally required for practical applications of GBS. In this work, we build a GBS machine which achieves the displacement by injecting a laser beam alongside a two-mode squeezed vacuum state into a 15-mode interferometer. We focus on two new capa...
Although universal quantum computers ideally solve problems such as factoring integers exponentially...
Quantum computing experiments are moving into a new realm of increasing size and complexity, with th...
Sampling from a quantum distribution can be exponentially hard for classicalcomputers and yet could ...
Gaussian boson sampling (GBS) is a quantum sampling task in which one has to draw samples from the p...
Boson sampling is a fundamentally and practically important task that can be used to demonstrate qua...
We develop an alternative boson sampling model operating on single-photon states followed by linear ...
We report phase-programmable Gaussian boson sampling (GBS) which produces up to 113 photon detection...
Quantum computing experiments are moving into a new realm of increasing size and complexity, with th...
Gaussian Boson Sampling (GBS) is a quantum computing concept based on drawing samples from a multimo...
Boson Sampling has emerged as a tool to explore the advantages of quantum over classical computers a...
© 2015 American Physical Society. Boson sampling is a simple model for nonuniversal linear optics qu...
As a promising candidate for exhibiting quantum computational supremacy, Gaussian boson sampling (GB...
Scientists in quantum technology aspire to quantum advantage: a computational result unattainable wi...
A growing cohort of experimental linear photonic networks implementing Gaussian boson sampling (GBS)...
Quantum computing experiments are moving into a new realm of increasing size and complexity, with th...
Although universal quantum computers ideally solve problems such as factoring integers exponentially...
Quantum computing experiments are moving into a new realm of increasing size and complexity, with th...
Sampling from a quantum distribution can be exponentially hard for classicalcomputers and yet could ...
Gaussian boson sampling (GBS) is a quantum sampling task in which one has to draw samples from the p...
Boson sampling is a fundamentally and practically important task that can be used to demonstrate qua...
We develop an alternative boson sampling model operating on single-photon states followed by linear ...
We report phase-programmable Gaussian boson sampling (GBS) which produces up to 113 photon detection...
Quantum computing experiments are moving into a new realm of increasing size and complexity, with th...
Gaussian Boson Sampling (GBS) is a quantum computing concept based on drawing samples from a multimo...
Boson Sampling has emerged as a tool to explore the advantages of quantum over classical computers a...
© 2015 American Physical Society. Boson sampling is a simple model for nonuniversal linear optics qu...
As a promising candidate for exhibiting quantum computational supremacy, Gaussian boson sampling (GB...
Scientists in quantum technology aspire to quantum advantage: a computational result unattainable wi...
A growing cohort of experimental linear photonic networks implementing Gaussian boson sampling (GBS)...
Quantum computing experiments are moving into a new realm of increasing size and complexity, with th...
Although universal quantum computers ideally solve problems such as factoring integers exponentially...
Quantum computing experiments are moving into a new realm of increasing size and complexity, with th...
Sampling from a quantum distribution can be exponentially hard for classicalcomputers and yet could ...