Article
Optics
Manuel P. P. Fernandez, Saket Kaushal, Benjamin Crockett, Laureano A. A. Bulus-Rossini, Pablo A. A. Costanzo-Caso, Jose Azana
Summary: This article proposes a novel optical signal processing concept called Parametric-assisted Oversampling and Decimation (POD), which is inspired by decimation in digital signal processing. By utilizing ultra-fast parametric oversampling and lossless decimation, the POD processor can amplify and sample the optical signal, effectively reducing noise interference.
LASER & PHOTONICS REVIEWS
(2023)
Article
Astronomy & Astrophysics
Navdeep Arya, Vikash Mittal, Kinjalk Lochan, Sandeep K. Goyal
Summary: This paper investigates the geometric phase phenomenon in quantum systems and discusses the possibility of isolating or enhancing geometric phase using noninertial means inside an electromagnetic cavity. The results show that the accumulative nature of the geometric phase facilitates the experimental observation of noninertial contributions, and it demonstrates the feasibility of detecting experimentally measurable geometric phases under accelerations.
Article
Chemistry, Physical
Wenjie Lu, Qizhen Chen, Huaan Zeng, Hui Wang, Lujian Liu, Tailiang Guo, Huipeng Chen, Rui Wang
Summary: An all-optical synaptic device based on a long-afterglow material is reported, which has optical properties similar to biological synapses. Combining the focusing characteristics of a convex lens, the optical summation of all-optical synaptic array pixels can be completed to transmit preprocessed multiple input signals. This work enriches the variety of artificial synapses and demonstrates the great development potential of photoelectric artificial neural networks.
Article
Multidisciplinary Sciences
H. Jabri, H. Eleuch
Summary: We investigate a hybrid system consisting of an optomechanical resonator and an optical cavity containing a quantum well. The system is coupled to a squeezed vacuum reservoir. The effect of injection of squeezed photons inside the cavity on the intensity spectrum is analyzed. The system reaches a regime of hybrid resonance where mechanical, excitonic and cavity modes are intermixed. Optimum squeezing is obtained at the hybrid resonance frequencies, despite the optomechanical interaction being the source of nonlinearity in the system. However, when squeezed vacuum is applied, minimal squeezing is realized at these frequencies along with an increase in fluctuations. The squeezed vacuum transforms coherent states into highly squeezed states of light, providing flexibility to achieve maximal squeezing. Furthermore, perfect squeezing is predicted.
SCIENTIFIC REPORTS
(2022)
Article
Engineering, Electrical & Electronic
Yunkun Zhao, Chenchen Wang, Yuanyang Zhao, Desheng Zhu, Liang Lu
Summary: In this article, an all-fiber laser self-mixing rangefinder was proposed using a fabricated tunable fiber ring cavity laser and a wide-band tunable fiber Fabry-Perot filter as the frequency selective device. The measurement results showed superior reliability with absolute error and relative error below +/- 0.047 m and 0.32% respectively within the 15 m range. The wavelength tuning range and frequency were controlled by adjusting the modulation signal introduced into the tunable fiber Fabry-Perot filter.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2021)
Article
Optics
Leilei He, Jingxuan Zhang, Zhiyuan Wang, Jialu Chang, Qiyue Wu, Zehuang Lu, Jie Zhang
Summary: Cryogenic ultra-stable lasers have low thermal noise limits and frequency drifts, but are strongly affected by vibration noise from cryostats. Sapphire and silicon are the main materials considered for cryogenic ultra-stable cavities, with sapphire being less developed. A homemade cryogenic sapphire cavity is used to develop an ultra-stable laser source with a frequency instability of 2(1) x 10-16, the best among similar systems reported. Vibration noise is reduced using a two-stage vibration isolation and optimizing the gas-liquid-helium mixing ratio.
Article
Chemistry, Analytical
Davide Pinto, Johannes P. Waclawek, Stefan Lindner, Harald Moser, Giovanna Ricchiuti, Bernhard Lendl
Summary: This article reports on the progress made in advancing Interferometric Cavity-Assisted Photothermal Spectroscopy (ICAPS) as a rugged and cost-effective gas sensing method. ICAPS uses a Fabry-Perot Interferometer (FPI) to convert absorption-induced and analyte-specific refractive index changes inside the interferometer into signals. By modulating the excitation laser's wavelength, periodic analyte excitation is achieved, and the photothermal signal is detected by measuring the intensity of the reflected probe laser. Sensitivity is maximized when the probe's wavelength matches the inflection point of the FPI's transfer function. The article describes the development of a locking scheme to keep the probe's wavelength at the inflection point using a cost-effective diode probe laser with wavelength modulation induced by current. A normalization procedure is also developed to correct for the probe power dependency of the ICAPS sensor's sensitivity.
SENSORS AND ACTUATORS B-CHEMICAL
(2023)
Article
Engineering, Electrical & Electronic
Yunpeng Ge, D. N. Wang, Kuo Hua
Summary: The demonstrated optical fiber in-line Mach-Zehnder interferometer based on an inner air-cavity with long cavity length is fabricated using femtosecond laser. The device is highly robust and allows for accurate measurement due to its small free spectral range. It is suitable for high temperature applications in single mode fiber and can support refractive index measurement in multimode fiber, making it attractive for various optical fiber sensing applications.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2021)
Article
Physics, Multidisciplinary
Bingjie Rao, Mingkun Li, Xiguang Yang, Lulu Yan, Xin Chen, Ru Yuan, Pan Zhang, Shougang Zhang
Summary: In this study, a polarization-multiplexed, erbium-doped dual-comb fiber laser based on an all-polarization-maintaining cavity configuration was presented. The laser demonstrated high relative stability and mutual coherence.
FRONTIERS IN PHYSICS
(2022)
Article
Physics, Applied
Ryohei Terabayashi, Keisuke Saito, Volker Sonnenschein, Yuki Okuyama, Kazuki Iwamoto, Kazune Mano, Yuta Kawashima, Tetsuo Furumiya, Koji Tojo, Shinichi Ninomiya, Kenji Yoshida, Hideki Tomita
Summary: This paper reports a high precision trace analysis technique for gas molecules using mid-infrared laser absorption spectroscopy with a high-finesse optical cavity. The optical detection of radiocarbon (C-14) based on the cavity ringdown spectroscopy with a quantum cascade laser has gained attention as an alternative to accelerator mass spectrometry. The authors present a compact-packaged narrow-linewidth QCL system utilizing resonant optical feedback and demonstrate its capability for rapid analysis of (CO2)-C-14.
JOURNAL OF APPLIED PHYSICS
(2022)
Article
Chemistry, Multidisciplinary
Junxiong Guo, Yu Liu, Lin Lin, Shangdong Li, Ji Cai, Jianbo Chen, Wen Huang, Yuan Lin, Jun Xu
Summary: This study presents a novel optical synapse based on surface plasmon resonance polarizer for implementing convolutional filters and optical convolutional neural networks. The synapse consists of nanoscale crossed gold arrays that strongly respond to the polarization angle of incident light. The experimental results show that the presented synapse achieved excellent performance in classifying the MNIST handwritten digit data set, with a classification accuracy of over 98% after training on 1,000 images and testing on a separate set of 10,000 images. This research provides a promising approach for designing artificial neural networks with efficient hardware and energy consumption, low cost, and scalable fabrication.
Article
Physics, Multidisciplinary
Pierre Fevrier, Julien Basset, Jerome Esteve, Marco Aprili, Julien Gabelli
Summary: By measuring the photon-assisted current in a planar tunnel junction under infrared illumination, the authors found that optical rectification results from the tunneling Seebeck effect and heating, rather than the exchange of energy quanta between electrons and photons as previously hypothesized.
COMMUNICATIONS PHYSICS
(2023)
Article
Chemistry, Multidisciplinary
Xiao Liang, Zhou Zhou, Zile Li, Jiaxin Li, Chang Peng, Hao Cui, Kai Wei, Zhixue He, Shaohua Yu, Guoxing Zheng
Summary: A minimalist strategy for designing multiplexed differentiators is proposed using a Malus metasurface consisting of single-sized nanostructures, enabling 1st and 2nd order differentiations. The proposed meta-differentiator exhibits excellent differential-computation performance and can be used for simultaneous outline detection and edge positioning of objects. It opens up possibilities for all-optical multiplexed computing meta-devices and can be applied in advanced biological imaging, defect detection, and pattern recognition.
ADVANCED MATERIALS
(2023)
Article
Optics
Johannes P. Waclawek, Harald Moser, Bernhard Lendl
Summary: The ICAPS method uses an optical cavity as a transducer for sensitive and compact gas detection, with the layout greatly improving the robustness of the sensor system and enabling operation close to the fundamental shot noise limit through balanced detection.
Article
Engineering, Electrical & Electronic
Weizhen Yu, Shuang Zheng, Zhenyu Zhao, Bin Wang, Weifeng Zhang
Summary: This paper proposes and experimentally demonstrates a photonic method to implement reconfigurable and low-threshold all-optical nonlinear activation functions based on a compact and high-Q add-drop microring resonator on silicon. The experiment shows that various nonlinear activation functions can be realized with low threshold and high accuracy, making it suitable for large-scale integrated optical neural networks (ONNs).
IEEE PHOTONICS JOURNAL
(2022)
Article
Physics, Applied
Paolo Braccia, Leonardo Banchi, Filippo Caruso
Summary: This study proposes a framework for characterizing noise in realistic quantum devices using a method called super QGAN. The results show that the super QGAN protocol can learn the associated error rates even in the presence of correlated noise.
PHYSICAL REVIEW APPLIED
(2022)
Article
Quantum Science & Technology
Stefano Gherardini, Andrea Smirne, Susana F. Huelga, Filippo Caruso
Summary: The non-Markovianity of an arbitrary open quantum system is analyzed by studying its multi-time statistics given by monitoring at discrete times. The hierarchy of inhomogeneous transfer tensors (TTs) is exploited to understand the role of correlations between the system and the environment in the dynamics. Stochastic TT transformations associated with local measurements at different times are introduced, allowing for comparison of memory effects in the multi-time statistics with those in non-monitored non-Markovian dynamics.
QUANTUM SCIENCE AND TECHNOLOGY
(2022)
Article
Physics, Multidisciplinary
Salvatore Virzi, Alessio Avella, Fabrizio Piacentini, Marco Gramegna, Tomas Opatrny, Abraham G. Kofman, Gershon Kurizki, Stefano Gherardini, Filippo Caruso, Ivo Pietro Degiovanni, Marco Genovese
Summary: For the first time, we experimentally demonstrate noise diagnostics by repeated quantum measurements, showing the ability of a single photon to diagnose non-Markovian temporal correlations of random polarization noise. We probe the photon with frequent (partially) selective polarization measurements to diagnose both the noise spectrum and temporal correlations. Positive temporal correlations correspond to a regime enabled by the quantum Zeno effect (QZE), while negative correlations correspond to regimes associated with the anti-Zeno effect (AZE).
PHYSICAL REVIEW LETTERS
(2022)
Review
Engineering, Electrical & Electronic
Nicola Biagi, Saverio Francesconi, Alessandro Zavatta, Marco Bellini
Summary: This concise review discusses the progress made in the engineering of quantum light states over the past few decades, highlighting the ability to manipulate light at the level of single photons and produce tailor-made quantum states and operations.
PROGRESS IN QUANTUM ELECTRONICS
(2022)
Article
Instruments & Instrumentation
L. Anderlini, M. Bellini, C. Corsi, S. Lagomarsino, C. Lucarelli, G. Passaleva, S. Sciortino, M. Veltri
Summary: This article presents a tracking detector for future hadronic machines that can withstand extreme levels of radiation while providing high space and time resolutions. The prototype 3D pixel diamond detector, fabricated in Firenze, achieves a time resolution below 100 ps with an efficiency greater than 99% according to test beam results.
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT
(2022)
Article
Physics, Multidisciplinary
Stefano Martina, Stefano Gherardini, Filippo Caruso
Summary: This paper proposes machine learning and artificial neural network models for classifying external noise sources affecting a given quantum dynamics. SVM, MLP, and RNN models are trained and validated with different complexity and accuracy to solve supervised binary classification problems. The results demonstrate the high efficacy of these tools in classifying noisy quantum dynamics using simulated data sets from different realizations of the quantum system dynamics. Furthermore, the study shows that successful classification can be achieved by measuring the probabilities that the analyzed quantum system is in one of the allowed positions or energy configurations at discrete time instants. Although the training of machine learning models is performed on synthetic data, this approach is expected to be applicable in experimental schemes, such as noise benchmarking of noisy intermediate-scale quantum devices.
Article
Environmental Sciences
Gisele Krysztofiak, Valery Catoire, Thierry Dudok de Wit, Douglas E. Kinnison, A. R. Ravishankara, Vanessa Brocchi, Elliot Atlas, Heiko Bozem, Roisin Commane, Francesco D'Amato, Bruce Daube, Glenn S. Diskin, Andreas Engel, Felix Friedl-Vallon, Eric Hintsa, Dale F. Hurst, Peter Hoor, Fabrice Jegou, Kenneth W. Jucks, Armin Kleinboehl, Harry Kuellmann, Eric A. Kort, Kathryn McKain, Fred L. Moore, Florian Obersteiner, Yenny Gonzalez Ramos, Tanja Schuck, Geoffrey C. Toon, Silvia Viciani, Gerald Wetzel, Jonathan Williams, Steven C. Wofsy
Summary: This study examines the trends in N2O concentration from the middle troposphere to the middle stratosphere using in situ and remote sensing observations. It finds a long-term increase in global N2O concentration in the MTMS from 1987 to 2018.
Article
Computer Science, Artificial Intelligence
Stefano Martina, Santiago Hernandez-Gomez, Stefano Gherardini, Filippo Caruso, Nicole Fabbri
Summary: The use of neural networks can greatly enhance the accuracy of noise spectroscopy, by reconstructing the power spectral density that characterizes an ensemble of carbon impurities around a nitrogen-vacancy center in diamond. Deep learning models can be more accurate than standard noise-spectroscopy techniques, while requiring a smaller number of sequences.
MACHINE LEARNING-SCIENCE AND TECHNOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Sreetama Das, Jingfu Zhang, Stefano Martina, Dieter Suter, Filippo Caruso
Summary: One promising application of quantum computing is the processing of graphical data like images. This study investigates a quantum pattern recognition protocol based on swap test and verifies the idea using IBMQ NISQ devices. The research finds that a two-qubit protocol can efficiently detect similarity between patterns, but noise becomes detrimental for three or more qubits. The study proposes a destructive swap test approach to mitigate the noise effect and presents an experimental setup for applying it. The overall importance of this research is rated as 8 out of 10.
QUANTUM MACHINE INTELLIGENCE
(2023)
Article
Meteorology & Atmospheric Sciences
Claudio Belotti, Flavio Barbara, Marco Barucci, Giovanni Bianchini, Francesco D'Amato, Samuele Del Bianco, Gianluca Di Natale, Marco Gai, Alessio Montori, Filippo Pratesi, Markus Rettinger, Christian Rolf, Ralf Sussmann, Thomas Trickl, Silvia Viciani, Hannes Vogelmann, Luca Palchetti
Summary: The Far-Infrared Radiation Mobile Observation System (FIRMOS) is developed to support the FORUM satellite mission by validating measurement methods and instrument design concepts. It is capable of measuring the downwelling spectral radiance emitted by the atmosphere in the wavelength range of 10-100 μm with a maximum spectral resolution of 0.25 cm(-1).
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2023)
Article
Optics
Stefano Gherardini, Henk J. van Waarde, Pietro Tesi, Filippo Caruso
Summary: This paper provides analytical conditions for the solvability of the topology identification problem for autonomous quantum dynamical networks and converts them into an algorithm for quantum network reconstruction that is easily implementable on standard computer facilities. The obtained algorithm is tested for Hamiltonian reconstruction on numerical examples based on the quantum walks formalism.
Article
Quantum Science & Technology
Ivana Mastroserio, Stefano Gherardini, Cosimo Lovecchio, Tommaso Calarco, Simone Montangero, Francesco S. Cataliotti, Filippo Caruso
Summary: The researchers have successfully achieved time-reversal operations using the dressed chopped random basis optimal control algorithm. Their findings demonstrate that by designing optimal modulated radio frequency fields, high-precision time-reversal transformations can be achieved in a Bose-Einstein condensate composed of non-interacting atoms. These results are expected to significantly advance the implementation of time-reversal operations in gate-based quantum computing.
ADVANCED QUANTUM TECHNOLOGIES
(2022)
Article
Quantum Science & Technology
Nicola Biagi, Saverio Francesconi, Manuel Gessner, Marco Bellini, Alessandro Zavatta
Summary: A remote phase sensing scheme is proposed and experimentally tested, showing a sensitivity that scales with the intensity of the local coherent states.
ADVANCED QUANTUM TECHNOLOGIES
(2022)
Article
Quantum Science & Technology
Ilaria Gianani, Ivana Mastroserio, Lorenzo Buffoni, Natalia Bruno, Ludovica Donati, Valeria Cimini, Marco Barbieri, Francesco S. Cataliotti, Filippo Caruso
Summary: This study implements the quantum embedding approach using two different experimental platforms and numerically optimizes the protocol using deep learning methods. The effectiveness of the quantum embedding method is successfully verified in the experiments, suggesting the potential of hybrid quantum technologies for quantum machine learning techniques.
ADVANCED QUANTUM TECHNOLOGIES
(2022)
Article
Computer Science, Artificial Intelligence
Nicola Dalla Pozza, Lorenzo Buffoni, Stefano Martina, Filippo Caruso
Summary: Quantum machine learning is a rapidly growing field that combines quantum information and machine learning. A new quantum reinforcement learning model is introduced for the maze problem, using a hybrid protocol of quantum and classical methods. The framework shows promise in handling tasks in noisy environments.
QUANTUM MACHINE INTELLIGENCE
(2022)
