PhoQuPy: A Python framework for Automation of Quantum Optics experiments
- URL: http://arxiv.org/abs/2602.04505v1
- Date: Wed, 04 Feb 2026 12:52:32 GMT
- Title: PhoQuPy: A Python framework for Automation of Quantum Optics experiments
- Abstract summary: We present a confocal photoluminescence (PL) scanning system for the identification and characterization of single-photon emitters (SPEs) in quantum materials.<n>The setup excites the sample with a laser and acquires a spectrum at each spatial coordinate in a scan pattern.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: We present the automation of a confocal photoluminescence (PL) scanning system for the identification and characterization of single-photon emitters (SPEs) in quantum materials. The setup excites the sample with a laser and acquires a spectrum at each spatial coordinate in a raster scan pattern. A double-acquisition method is used to remove cosmic ray artifacts by comparing subsequent measurements at the same spatial coordinate. Once identified, the emitter is further characterized via a HBT setup, thereby measuring lifetime as well as second-order autocorrelation g(2) measurements to confirm singlephoton emission. The system integrates Python-based hardware control for motorized stages, spectrometer acquisition, and post-processing, with a migration to a galvo-mirror scanning approach for using it along with a cryostat for low temperature measurements. Our results demonstrate spatially resolved PL maps and temperature-dependent spectra, highlighting the capability of the setup to efficiently benchmark SPE performance. We further went on to perform automation of other experiments such as a Non-Linear Interferometry setup for Quantum Imaging with Undetected Light and a Fourier Transform Imaging Spectroscopy using a common path birefringence Interferometer to obtain hyperspectral images of our samples.
Related papers
- Accurate noise spectroscopy using quantum sensing ensembles [70.36032466145112]
We present an analysis procedure for accessing the true source noise spectrum using ensemble coherence.<n>We show that sequence timing plays a dual role in ensemble noise spectroscopy, setting both the frequency selectivity and the weighted collection of signal.<n>We apply this procedure to a model system, shallow nitrogen-vacancy centres in diamond, and show that consistent information about the spectral character of MHz-range surface noise can be obtained.
arXiv Detail & Related papers (2026-09-15T05:03:36Z) - Parallel assembly of neutral atom arrays with an SLM using linear phase interpolation [36.94429692322632]
We present fast parallel rearrangement of single atoms in optical tweezers into arbitrary geometries by updating holograms displayed by an ultra fast spatial light modulator.<n>To show the versatility of our method, we sort the same atomic sample into multiple geometries with success of probabilities 0.996(2) per rearrangement cycle.<n>This makes the method a useful tool for rearranging large atom arrays for quantum computation and quantum simulation.
arXiv Detail & Related papers (2025-01-02T18:06:31Z) - SpectralMamba: Efficient Mamba for Hyperspectral Image Classification [39.18999103115206]
Recurrent neural networks and Transformers have dominated most applications in hyperspectral (HS) imaging.
We propose SpectralMamba -- a novel state space model incorporated efficient deep learning framework for HS image classification.
We show that SpectralMamba surprisingly creates promising win-wins from both performance and efficiency perspectives.
arXiv Detail & Related papers (2024-04-12T14:12:03Z) - AstroCLIP: A Cross-Modal Foundation Model for Galaxies [40.43521617393482]
AstroCLIP embeds galaxy images and spectra separately by pretraining separate transformer-based image and spectrum encoders in self-supervised settings.
We find remarkable performance on all downstream tasks, even relative to supervised baselines.
Our approach represents the first cross-modal self-supervised model for galaxies, and the first self-supervised transformer-based architectures for galaxy images and spectra.
arXiv Detail & Related papers (2023-10-04T17:59:38Z) - Spectrum-to-position mapping via programmable spatial dispersion
implemented in an optical quantum memory [0.0]
We propose a protocol for spectrum-to-position conversion using spatial spin wave modulation technique in gradient echo quantum memory.
Results hold prospects for ultra-precise spectroscopy and present an opportunity to enhance many protocols in quantum and classical communication, sensing, and computing.
arXiv Detail & Related papers (2023-08-03T14:41:44Z) - High-dimensional quantum correlation measurements with an adaptively
gated hybrid single-photon camera [58.720142291102135]
We propose an adaptively-gated hybrid intensified camera (HIC) that combines a high spatial resolution sensor and a high temporal resolution detector.
With a spatial resolution of nearly 9 megapixels and nanosecond temporal resolution, this system allows for the realization of previously infeasible quantum optics experiments.
arXiv Detail & Related papers (2023-05-25T16:59:27Z) - PS-Transformer: Learning Sparse Photometric Stereo Network using
Self-Attention Mechanism [4.822598110892846]
Existing deep calibrated photometric stereo networks aggregate observations under different lights based on pre-defined operations such as linear projection and max pooling.
To tackle this issue, this paper presents a deep sparse calibrated photometric stereo network named it PS-Transformer which leverages the learnable self-attention mechanism to properly capture the complex inter-image interactions.
arXiv Detail & Related papers (2022-11-21T11:58:25Z) - Large-scale optical characterization of solid-state quantum emitters [43.55994393060723]
Solid-state quantum emitters have emerged as a leading quantum memory for quantum networking applications.
We introduce and demonstrate spectroscopic techniques that enable large-scale, automated characterization of color centers.
arXiv Detail & Related papers (2022-10-24T22:57:51Z) - Time-resolved Hanbury Brown-Twiss interferometry of on-chip biphoton
frequency combs using Vernier phase modulation [0.0]
Biphoton frequency combs (BFCs) are promising quantum sources for large-scale and high-dimensional quantum information and networking systems.
Measurement of the temporal auto-correlation function of the unheralded signal or idler photons comprising the BFC is a key tool for characterizing their spectral purity.
We propose a scheme to circumvent this challenge through electro-optic phase modulation.
arXiv Detail & Related papers (2022-10-11T17:08:22Z) - Weak Thermal State Quadrature-Noise Shadow Imaging [0.0]
We demonstrate the possibility to create an image of an opaque object using a few-photon thermal optical field.
We show that such thermal QSI scheme has an advantage over the classical differential imaging when the effect of dark counts is considered.
arXiv Detail & Related papers (2022-02-04T16:57:15Z) - Spectrally Multiplexed Hong-Ou-Mandel Interference [18.5051344410089]
We demonstrate spectrally-resolved two-photon "Hong-Ou-Mandel" (HOM) interference.
We also simulate the secret key generation rate using current and state-of-the-art parameters.
arXiv Detail & Related papers (2021-11-26T17:18:15Z) - Leveraging Spatial and Photometric Context for Calibrated Non-Lambertian
Photometric Stereo [61.6260594326246]
We introduce an efficient fully-convolutional architecture that can leverage both spatial and photometric context simultaneously.
Using separable 4D convolutions and 2D heat-maps reduces the size and makes more efficient.
arXiv Detail & Related papers (2021-03-22T18:06:58Z) - Spectrally reconfigurable quantum emitters enabled by optimized fast
modulation [42.39394379814941]
Spectral control in solid state platforms such as color centers, rare earth ions, and quantum dots is attractive for realizing such applications on-chip.
We propose the use of frequency-modulated optical transitions for spectral engineering of single photon emission.
Our results suggest that frequency modulation is a powerful technique for the generation of new light states with unprecedented control over the spectral and temporal properties of single photons.
arXiv Detail & Related papers (2020-03-27T18:24:35Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.