Luminous Efficacy
Luminous efficacy measures how efficiently a light source converts electrical power into visible light, playing a key role in lighting design, energy efficiency...
Quantum efficiency (QE) quantifies how effectively optoelectronic devices convert incident photons into electrons or emitted photons, influencing sensitivity, efficiency, and signal quality.
Quantum efficiency (QE) is a cornerstone metric in photonics, optoelectronics, and imaging science. It describes how efficiently a device converts incident photons into a measurable output—be it an electrical signal or emitted light. QE is essential for evaluating the sensitivity, energy conversion, and overall effectiveness of photodetectors, solar cells, LEDs, lasers, and single-photon counting devices.
Quantum efficiency is defined as the ratio of the number of output events (such as electrons, holes, or emitted photons) to the number of incident photons. It is commonly expressed as a percentage:
[ \text{QE} = \frac{\text{Number of output events}}{\text{Number of incident photons}} \times 100% ]
QE provides a direct measure of a device’s photon-to-signal conversion capability, impacting everything from low-light camera sensitivity to solar panel efficiency.
Photodetectors—including photodiodes, CCDs, and CMOS image sensors—rely on high QE to achieve strong, low-noise signals. In these devices, QE is typically measured as a function of wavelength (yielding a spectral QE curve):
[ \text{QE}(\lambda) = \frac{\text{Electrons collected at } \lambda}{\text{Incident photons at } \lambda} \times 100% ]
Responsivity (output current per optical power, A/W) is closely related to QE, incorporating the energy of photons at each wavelength. Detective Quantum Efficiency (DQE) extends this by factoring in noise, evaluating the overall fidelity of imaging systems.
Typical quantum efficiency curve of a silicon photodiode, showing strong wavelength dependence.
High-QE photodetectors are vital for:
For single-photon avalanche diodes (SPADs), silicon photomultipliers (SiPMs), and related detectors, the analogous term is photon detection efficiency (PDE):
[ \text{PDE} = \frac{\text{Number of registered photon events}}{\text{Number of incident photons}} \times 100% ]
PDE incorporates not only QE, but also avalanche triggering probability, fill factor (photosensitive area ratio), and dead time effects. High PDE is critical in applications such as quantum optics, LIDAR, and time-correlated single-photon counting (TCSPC).
Example: A blue GaN LED with an IQE of 85% and extraction efficiency of 40% yields an EQE of 34%.
In lasers, pump quantum efficiency may exceed 100% in materials with energy transfer (e.g., thulium-doped fibers), where one absorbed photon can yield multiple output photons.
Solar cell performance is characterized by external (EQE) and internal quantum efficiency (IQE):
[ \text{EQE}(\lambda) = \frac{\text{Collected charge carriers at } \lambda}{\text{Incident photons at } \lambda} \times 100% ] [ \text{IQE}(\lambda) = \frac{\text{Collected charge carriers at } \lambda}{\text{Absorbed photons at } \lambda} \times 100% ]
EQE spectra diagnose performance losses (reflection, incomplete absorption, recombination) and guide the design of high-efficiency solar cells, including multi-junction and thin-film devices.
External quantum efficiency (EQE) of a silicon solar cell as a function of wavelength.
In rare cases, such as certain fiber lasers, QE can exceed 100% due to energy transfer processes (e.g., cross-relaxation in thulium-doped fibers). Here, a single high-energy photon can result in the emission of two or more lower-energy photons.
| Term | Definition |
|---|---|
| Quantum Yield | Ratio of output photons to absorbed photons in fluorescence/photoluminescence. |
| Photon Detection Efficiency (PDE) | Probability of a photon producing a detection event (includes QE and device architecture factors). |
| Detective Quantum Efficiency (DQE) | System-level SNR preservation, incorporating QE and noise. |
| Quantum Defect | Energy loss between absorbed and emitted photons in lasers. |
| Responsivity | Output current per unit optical power (A/W), related to QE and photon energy. |
| Signal-to-Noise Ratio (SNR) | Ratio of detected signal to noise, improved by higher QE. |
| Photon Flux | Number of photons incident per area per time. |
| Electron-Hole Pair | Charge carriers generated by photon absorption in semiconductors. |
| Dark Noise | Noise from thermal excitation in the absence of light. |
Measurement involves illuminating the device with monochromatic, calibrated light and recording the output (charge, current, or counts), then calculating QE at each wavelength.
DQE evaluates the overall SNR preservation of an imaging system, factoring in quantum efficiency and noise sources. It is especially important for scientific, medical, and X-ray imaging.
Quantum defect quantifies energy loss in lasers between absorbed (pump) and emitted (signal) photons:
[ \text{Quantum Defect} = 1 - \frac{\lambda_{\text{signal}}}{\lambda_{\text{pump}}} ]
Smaller quantum defect means higher energy conversion efficiency and lower thermal losses.
Quantum efficiency underpins performance in nearly all photonic and optoelectronic devices. By understanding and optimizing QE, engineers and scientists can design systems with greater sensitivity, efficiency, and information fidelity—unlocking advances in imaging, sensing, lighting, and energy conversion.
Internal quantum efficiency (IQE) measures the fraction of generated carriers or photons in the active region per absorbed photon or injected electron, excluding optical losses. External quantum efficiency (EQE) is the fraction of incident photons that result in a detectable output, factoring in all losses such as reflection and transmission.
Yes, certain laser gain media or materials with energy transfer processes (like cross-relaxation) can yield quantum efficiencies above 100%, meaning a single input photon can generate multiple output photons due to specific physical mechanisms.
Higher quantum efficiency ensures more incident photons are converted to signal, improving the detected signal relative to noise. This leads to higher SNR, which is essential for low-light imaging, astronomy, and other photon-limited applications.
Key factors include the wavelength of incident light, sensor material, device structure (front- or back-illuminated), anti-reflection coatings, micro-lens arrays, temperature, and the presence of optical windows or encapsulants.
QE is measured by illuminating the sensor with calibrated monochromatic light, recording the electrical output, and comparing it to the known photon flux at each wavelength. This process produces a QE spectrum used to assess and optimize device performance.
Detective quantum efficiency (DQE) evaluates how effectively an imaging system maintains the signal-to-noise ratio from input to output, incorporating quantum efficiency and noise sources. DQE is especially important in scientific and medical imaging.
High quantum efficiency improves the sensitivity, energy conversion, and overall performance of sensors, cameras, and solar cells. Discover how advanced device architectures and materials can boost your application’s results.
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