S. Sempere-Llagostera
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
S. Sempere-Llagostera has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Ian Alexander Walmsley
Imperial College London
2 shared publications - Raj B. Patel
Imperial College London
2 shared publications - Bryn A. Bell
Department of Physics, University of Oxford, Clarendon Laboratory, Parks Road, Oxford OX1 3PU, UK
1 shared publication - Guillaume S. Thekkadath
National Research Council of Canada
1 shared publication M.S. Kim
Department of Physics, Imperial College London, Prince Consort Rd, London SW7 2AZ, United Kingdom
1 shared publicationW. S. Kolthammer
Department of Physics, Imperial College London, Prince Consort Road, London SW7 2AZ, United Kingdom
1 shared publication
Latest Publications
- Open Access
- 30 September 2022
- Published by American Physical Society (APS) in Physical Review X
- Vol. 12 (3) , 031045
Experimentally Finding Dense Subgraphs Using a Time-Bin Encoded Gaussian Boson Sampling Device
Gaussian boson sampling is a quantum computing concept based on drawing samples from a multimode nonclassical Gaussian state using photon-number resolving detectors. It was initially posed as a near-term approach to achieve quantum advantage, and several applications have been proposed since, including the calculation of graph features. For the first time, we use a time-bin encoded interferometer to implement Gaussian boson sampling experimentally and extract samples to enhance the search for dense subgraphs in a graph. Our results indicate an improvement over classical methods for subgraphs of sizes three and four in a graph containing ten nodes. In addition, we numerically explore the role of imperfections in the optical circuit and on the performance of the algorithm.
- 30 September 2022
- Published by American Physical Society (APS) in Physical Review X
- Vol. 12 (3) , 031045
Open AccessExperimentally Finding Dense Subgraphs Using a Time-Bin Encoded Gaussian Boson Sampling Device
Gaussian boson sampling is a quantum computing concept based on drawing samples from a multimode nonclassical Gaussian state using photon-number resolving detectors. It was initially posed as a near-term approach to achieve quantum advantage, and several applications have been proposed since, including the calculation of graph features. For the first time, we use a time-bin encoded interferometer to implement Gaussian boson sampling experimentally and extract samples to enhance the search for dense subgraphs in a graph. Our results indicate an improvement over classical methods for subgraphs of sizes three and four in a graph containing ten nodes. In addition, we numerically explore the role of imperfections in the optical circuit and on the performance of the algorithm.
- Open Access
- 17 May 2022
- Published by American Physical Society (APS) in PRX Quantum
- Vol. 3 (2) , 020336
Experimental Demonstration of Gaussian Boson Sampling with Displacement
Gaussian boson sampling (GBS) is a 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 that 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 capabilities. Firstly, we use the displacement to reconstruct the multimode Gaussian state at the output of the interferometer. Our reconstruction technique is in situ and requires only three measurement settings regardless of the state dimension. Secondly, we study how the addition of classical laser light in our GBS machine affects the complexity of sampling its output photon statistics. We introduce and validate approximate semiclassical models that reduce the computational cost when a significant fraction of the detected light is classical.
- 17 May 2022
- Published by American Physical Society (APS) in PRX Quantum
- Vol. 3 (2) , 020336
Open AccessExperimental Demonstration of Gaussian Boson Sampling with Displacement
Gaussian boson sampling (GBS) is a 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 that 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 capabilities. Firstly, we use the displacement to reconstruct the multimode Gaussian state at the output of the interferometer. Our reconstruction technique is in situ and requires only three measurement settings regardless of the state dimension. Secondly, we study how the addition of classical laser light in our GBS machine affects the complexity of sampling its output photon statistics. We introduce and validate approximate semiclassical models that reduce the computational cost when a significant fraction of the detected light is classical.