Publications by authors named "Rajveer Nehra"

Photonics offers unique capabilities for quantum information processing (QIP) such as room-temperature operation, the scalability of nanophotonics, and access to ultrabroad bandwidths and consequently ultrafast operation. Ultrashort pulse sources of quantum states in nanophotonics are an important building block for achieving scalable ultrafast QIP; however, their demonstrations so far have been sparse. Here, we demonstrate a femtosecond biphoton source in dispersion-engineered periodically poled lithium niobate nanophotonics.

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Quantum information processors benefit from high clock frequencies to fully harness quantum advantages before they are lost to decoherence. All-optical systems offer unique benefits due to their inherent 100-THz carrier frequency, enabling the development of THz-clock frequency processors. However, the bandwidth of quantum light sources and measurement devices has been limited to the MHz range, with nonclassical state generation rates in the kHz range.

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Widely tunable coherent sources are desirable in nanophotonics for a multitude of applications ranging from communications to sensing. The mid-infrared spectral region (wavelengths beyond 2 μm) is particularly important for applications relying on molecular spectroscopy. Among tunable sources, optical parametric oscillators typically offer some of the broadest tuning ranges; however, their implementations in nanophotonics have been limited to narrow tuning ranges in the infrared or to visible wavelengths.

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One of the most fundamental quantum states of light is the squeezed vacuum, in which noise in one of the quadratures is less than the standard quantum noise limit. In nanophotonics, it remains challenging to generate, manipulate, and measure such a quantum state with the performance required for a wide range of scalable quantum information systems. Here, we report the development of a lithium niobate-based nanophotonic platform to demonstrate the generation and all-optical measurement of squeezed states on the same chip.

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Article Synopsis
  • The growing computational demands of deep learning have led to the need for energy-efficient hardware accelerators.
  • Optical neural networks show promise, but energy-efficient nonlinear optical functions have been a significant limitation.
  • This research demonstrates an all-optical Rectified Linear Unit (ReLU) using a specific nanophotonic waveguide, achieving femtojoule energy consumption per activation and near-instantaneous operation, paving the way for energy-efficient deep learning solutions.
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Topological insulators possess protected boundary states which are robust against disorders and have immense implications in both fermionic and bosonic systems. Harnessing these topological effects in nonequilibrium scenarios is highly desirable and has led to the development of topological lasers. The topologically protected boundary states usually lie within the bulk bandgap, and selectively exciting them without inducing instability in the bulk modes of bosonic systems is challenging.

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Article Synopsis
  • This study examines the effectiveness of using single-photon avalanche photodiodes (SPADs) with low dark counts for photon-number-resolved photodetection, focusing on a new configuration that improves performance.
  • The authors propose a design that connects SPADs to the same waveguide, allowing them to detect multiple photons without losing efficiency due to nonideal quantum characteristics.
  • They evaluate the design's performance by analyzing the purity of measurement outcomes, considering factors like the number of SPADs used, photon loss, dark counts, and electrical interference.
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