Integrated Quantum Photonics: Designing IQP Components with Ansys Lumerical

Introduction to Integrated Quantum Photonics

Integrated quantum photonics (IQP) is quickly becoming the backbone of scalable quantum technologies, from secure communications to fault-tolerant computing. As designs grow more complex, engineers need robust, multiphysics-aware tools to accurately model devices such as sources, waveguides, modulators, and detectors at the chip level. Ansys Lumerical provides a comprehensive platform to simulate optical behavior, material responses, and layout-driven effects before tape-out, reducing risk and iteration cycles. This article walks through how IQP components can be designed and validated virtually, helping teams move from concept to manufacturable photonic circuits with greater confidence.

At a Glance

  • IQP is emerging as a viable alternative to quantum computation.
  • Research in areas such as quantum sources, waveguides and modulators has made this possible.
  • Compatibility with CMOS technology means industrial scalability will be much easier.

 

Integrated Quantum Photonics Simulation with Ansys Lumerical

 

Basic Components of Quantum Photonics

The basic components of a IQP system are:

  • Sources (e.g QDs in cavities)
    2 qd, Integrated Quantum Photonics Simulation with Ansys Lumerical
  • Waveguides
  • Directional couplers (beam splitters)
    3 waveguide, Integrated Quantum Photonics Simulation with Ansys Lumerical
  • Modulators
    3 modulators, Integrated Quantum Photonics Simulation with Ansys Lumerical
  • Detectors
    nanowire, Integrated Quantum Photonics Simulation with Ansys Lumerical

Lumerical for Quantum Photonics

Here we show how various Lumerical modules can be used to design IQP components. We focus on:

  • Photonic crystal (PC) design:
    • QDs embedded in PCs are popular sources of single photons.
    • Q factor calculations.
  • Waveguide design including loss analysis:
    • Calculating bending loss.
  • Modulator analysis:
    • Calculating charge distribution using CHARGE.
    • Using MODE to calculate change in refractive index for different charge distributions.
  • Analysis of Frequency conversion in waveguides:
    • Analyzing frequency conversion in waveguides.
    • Analyzing dispersion with temperature.
    • Calculating conversion efficiencies at different temperatures.

Photonic Crystal (PC) Design Using Lumerical

  • Quantum dots embedded in PC cavities are some of the most popular sources of single photons.
  •  Lumerical FDTD can be used to Q factors of such cavities.
  • Q-factor can be calculated by analyzing the time signal, especially for high Q cavities.

 

5 photonic crystal 2: Integrated Quantum Photonics Simulation with Ansys Lumerical

 

Ring Resonator Cavity Design Using Lumerical

  • Another popular architecture is the ring-resonator architecture for cavities.
  • Lumerical FDTD can be used to Q factors of such cavities using time signal decay.
  • A waveguide mode can be launched in the input port and transmission can be measured in the drop port and the through port. By changing the radius of the ring, the resonances can be shifted in frequency.

 

6 ring resonator

 

Waveguide Design and Loss Analysis

MODE can be used to:

  • Calculate various modes of a waveguide with information like n_eff and loss.

 

7 waveguide mode

 

  • Perform frequency sweep to calculate effective index for a particular mode at different wavelengths.

 

8 waveguide design

 

  • Calculate the bending loss by calculating the mode effective index and loss/cm for a bend with a certain radius. Here we see the loss for bend radius of 1.5 um.
  • Calculate overlap of modes  between a bend and a straight section of the waveguide. This has to be factored in during bending loss calculations. Here we see overlap integral of 0.9957 for a straight WG mode and one with a bend radius of 10um.

 

10 waveguide design

 

Modulator

  • Here we demonstrate how a PN modulator can be modelled using Lumerical CHARGE.
    • CHARGE can be used to calculate the charge densities for different values of applied electric fields.
    • Changing charge densities change the refractive index of the waveguide and hence causes a phase change in the propagating mode.

 

11 Modulator

 

  • Here we demonstrate how a PN modulator can be modelled using Lumerical CHARGE.
    • CHARGE can be used to calculate the capacitance for different voltages.
    • This capacitance gives information on how fast can a modulator be used.

 

12 Modulator charge

 

  • CHARGE can export the obtained charge distribution and this can be used by MODE solutions to calculate fundamental mode properties at different voltages.

 

13 charge distribution

 

Measuring Phase Change During Modulation

INTERCONNECT can be used to measure phase change using the designed modulator. MODE solutions can be used to export effective refractive index for different voltages. This can be imported in INTERCONNECT to calculate modulation for different voltages.

 

14 interconnect modulation

 

Lumerical for Frequency Conversion

Number of IQP protocols use frequency conversion for generating photons. For e.g. in Lithium Niobate Lumerical (MODE) can be used to calculate how modes for fundamental and SHG (second harmonic) change with temperature.

 

15 second harmonic generation

 

Using Sellmeier coefficients to model the refractive index of Lithium niobate at different temperatures we can obtain mode dispersion for fundamental (tel) and SHG (nir) at different temperatures.

 

16 frequency convertion

 

Using the dispersion data we can find phase matching fundamental wavelengths at different temperatures. We see that the fundamental wavelength shifts to higher values with increasing temperature.

 

17 dispersion

 

Conclusion

Integrated quantum photonics design demands more than trial-and-error—it requires high-fidelity simulation that captures real-world behavior early in the design cycle. By combining Ansys Lumerical tools with expert guidance, your team can explore more architectures, diagnose performance limits, and de-risk fabrication before committing to hardware.

If you’re looking to accelerate your integrated quantum photonics roadmap, SimuTech Group can help with both software enablement and engineering consulting. Contact us today to discuss your IQP challenges and learn how simulation-driven design can support your next generation of quantum devices.

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