arXiv subjects

Daniel Gauthier

Publications and source records attributed to Daniel Gauthier.

3 recordsLinked to original sources

arXiv2024

Maximizing Purity and Heralding Efficiency of Type-I Down-Converted Photons Using Beam Focal Parameters

We demonstrate theoretically that correlated bi-photons can be generated with high heralding efficiency and high spectral purity for non-collinear Type-I spontaneous parametric down-conversion. In Type-I down-conversion, the generated photons have the same linear polarization that is perpendicular to the linear pump polarization. Previously, it was thought that high efficiency and purity could not be obtained for this configuration. We show that the non-collinear geometry gives an additional degree-of-freedom that allows for simultaneous optimization of these source metrics. We predict near-unity ($\approx0.97$) heralding efficiency and single-photon spectral purity by adjusting the beam focal parameters, which can be obtained over a wide range of pump, signal, and idler wavelengths without requiring special crystal dispersion characteristics. As an example, we predict a heralding efficiency of 0.97, a single-photon purity of 0.97, and a pair production rate of 0.50 pairs/(s$~$mW$~$THz) using a 400-$\mu$m-long $\beta$-barium borate crystal pumped by a 355-nm-wavelength pulsed laser with a bandwidth of 8-THz. Our work offers a simple and universal approach for producing high-quality quantum photonic states for a wide variety of quantum information science applications.

quant-ph↗

arXiv2022

Accelerating Progress Towards Practical Quantum Advantage: The Quantum Technology Demonstration Project Roadmap

Quantum information science and technology (QIST) is a critical and emerging technology with the potential for enormous world impact and is currently invested in by over 40 nations. To bring these large-scale investments to fruition and bridge the lower technology readiness levels (TRLs) of fundamental research at universities to the high TRLs necessary to realize the promise of practical quantum advantage accessible to industry and the public, we present a roadmap for Quantum Technology Demonstration Projects (QTDPs). Such QTDPs, focused on intermediate TRLs, are large-scale public-private partnerships with a high probability of translation from laboratory to practice. They create technology demonstrating a clear 'quantum advantage' for science breakthroughs that are user-motivated and will provide access to a broad and diverse community of scientific users. Successful implementation of a program of QTDPs will have large positive economic impacts.

quant-ph↗

arXiv2018

Rapid Time Series Prediction with a Hardware-Based Reservoir Computer

Reservoir computing is a neural network approach for processing time-dependent signals that has seen rapid development in recent years. Physical implementations of the technique using optical reservoirs have demonstrated remarkable accuracy and processing speed at benchmark tasks. However, these approaches require an electronic output layer to maintain high performance, which limits their use in tasks such as time-series prediction, where the output is fed back into the reservoir. We present here a reservoir computing scheme that has rapid processing speed both by the reservoir and the output layer. The reservoir is realized by an autonomous, time-delay, Boolean network configured on a field-programmable gate array. We investigate the dynamical properties of the network and observe the fading memory property that is critical for successful reservoir computing. We demonstrate the utility of the technique by training a reservoir to learn the short- and long-term behavior of a chaotic system. We find accuracy comparable to state-of-the-art software approaches of similar network size, but with a superior real-time prediction rate up to 160 MHz.

cs.LG↗