#quantum #physics #spdc #photonics

bin+lib spdcalc

SPDCalc, the Spontaneous Parametric Downconversion Calculator

1 stable release

2.0.1 Oct 22, 2024

#154 in Math

Download history 416/week @ 2024-10-21

416 downloads per month

MIT license

295KB
7K SLoC

SPDCalc Library

build Crates.io Version

SPDCalc is a fast design tool for spontaneous parametric downconversion sources.

This is the base rust library used by the web app and the python library spdcalc-py.

Introduction

The process of spontaneous parametric downconversion is an important source of single-photons and quantum states of light. Much recent theoretical and experimental work focuses on engineering the properties of the photons emitted from downconversion. For multi-photon experiments generating photon pairs that are spectrally pure, meaning the signal and idler photons are uncorrelated, has been an active area of investigation. For fundamental tests of quantum mechanics, such as loop-hole-free Bell tests, optimizing the coupling of photons to single-mode fiber is an important consideration. //! While the principles behind the nonlinear process of downconversion are well understood, calculating the properties of the photons can be difficult and time-consuming when considering photons emitted at an angle with respect to the pump (non collinear) when the signal, idler, and pump can experience birefringent walk off. Here we present a library designed to simplify these calculations that builds on previous work. The library allows a user to easily determine the phasematching properties as well as the emission characteristics and joint spectrum of the signal and idler photons. The library also allows a user to quickly find phasematching parameters that generate spectrally pure states. The Hong-Ou-Mandel dip between the signal and idler is also calculated, and the joint spectrum in the dip can also be easily examined. Finally, the spatial mode structure and single-mode fiber coupling efficiency can be computed. The library is designed to be flexible, and can handle periodically-poled crystals that have been apodized with a Gaussian function.

There is also a web-based application that uses this library available at app.spdcalc.org.

Usage

The easiest way to use this library is to use the [SPDCConfig] struct. Either create a default setup with SPDCConfig::default() or create a custom setup by specifying the parameters you need. This is made to be used with serde, so you can deserialize a config from a JSON file or YAML or similar.

use serde_json::json;
use spdcalc::prelude::*;

let json = serde_json::json!({
  "crystal": {
    "kind": "KTP",
    "pm_type": "e->eo",
    "phi_deg": 0,
    "theta_deg": 90,
    "length_um": 14000,
    "temperature_c": 20
  },
  "pump": {
    "wavelength_nm": 775,
    "waist_um": 200,
    "bandwidth_nm": 0.5,
    "average_power_mw": 300
  },
  "signal": {
    "wavelength_nm": 1550,
    "phi_deg": 0,
    "theta_external_deg": 0,
    "waist_um": 100,
    "waist_position_um": "auto"
  },
  "idler": "auto",
  "periodic_poling": {
    "poling_period_um": "auto"
  },
  "deff_pm_per_volt": 7.6
});

let config : SPDCConfig = serde_json::from_value(json).expect("Could not unwrap json");
let spdc = config.try_as_spdc().expect("Could not convert to SPDC instance");

// Now you can use the spdc instance to calculate things like the jsa

let range = WavelengthSpace::new(
  (1400e-9 * M, 1600e-9 * M, 100),
  (1400e-9 * M, 1600e-9 * M, 100)
);
let spectrum = spdc.joint_spectrum(Integrator::default());
let results = spectrum.jsa_range(range);

Development

cargo build

Dependencies

~13–18MB
~343K SLoC