Hou Shun Poh
National University of Singapore
21 Papers
48 Citations
Hou Shun Poh is an academic researcher from National University of Singapore. The author has contributed to research in topics: Quantum entanglement & Photon. The author has an hindex of 10, co-authored 21 publications.
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Papers
Measuring Temporal Photon Bunching in Blackbody Radiation
TL;DR: In this paper, an experimental technique to increase the photon bunching signal in blackbody radiation via spectral filtering of the light source is presented. But, with available detector bandwidths, this signal is difficult to observe directly.
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Measuring Temporal Photon Bunching in Blackbody Radiation
TL;DR: In this paper, a spectral filtering technique was proposed to increase the photon bunching signal in blackbody radiation via spectral filtering of the light source, including the Sun, in order to revive the interest in intensity interferometry as a tool in astronomy.
41
Stable Polarization Entanglement based Quantum Key Distribution over Metropolitan Fibre Network
TL;DR: In this article, the authors demonstrate a quantum key distribution implementation over deployed dark telecom fibers with polarisation-entangled photons generated at the O-band, where one of the photons in the pairs are propagated through 10km of deployed fiber while the others are detected locally.
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Characterizing nonlocal dispersion compensation in deployed telecommunications fiber.
TL;DR: In this paper, the propagation of broadband photon pairs over deployed telecommunication fibers is used to achieve nonlocal dispersion compensation without the deliberate introduction of negative dispersion, made possible by exploiting time-energy entanglement and the positive and negative dispersive properties of the fiber.
20
Fibre polarisation state compensation in entanglement-based quantum key distribution.
TL;DR: In this paper, the authors demonstrate a technique for a dynamically compensating fibre-induced state alteration in a QKD system, which includes a feedback loop that minimizes the QBER using a stochastic optimization algorithm.
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