# Driven Boson Sampling.

@article{Barkhofen2016DrivenBS, title={Driven Boson Sampling.}, author={Sonja Barkhofen and Tim J. Bartley and Linda Sansoni and Regina Kruse and Craig S. Hamilton and Igor Jex and Christine Silberhorn}, journal={Physical review letters}, year={2016}, volume={118 2}, pages={ 020502 } }

Sampling the distribution of bosons that have undergone a random unitary evolution is strongly believed to be a computationally hard problem. Key to outperforming classical simulations of this task is to increase both the number of input photons and the size of the network. We propose driven boson sampling, in which photons are input within the network itself, as a means to approach this goal. We show that the mean number of photons entering a boson sampling experiment can exceed one photon per…

## 18 Citations

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This paper will review sampling problems and the arguments that have been used to deduce when sampling problems are hard for classical computers to simulate, and two classes of quantum sampling problems that demonstrate the supremacy of quantum algorithms are BosonSampling and Instantaneous Quantum Polynomial-time Sampling.

### Driven Gaussian quantum walks

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Quantum walks function as essential means to implement quantum simulators, allowing one to study complex and often directly inaccessible quantum processes in controllable systems. In this…

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### A linear optics implementation using measurementinduced nonlinearity is possible in principle, however very challenging experimentally. See Supplementary Material for further details

### * Corresponding author: sonja.barkhofen@upb.de

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