1.3.4. Optical Computing
Download PDF
1.3.4. Optical Computing
Use the future to build the present
Optical Computing
Comment
Stakeholder Type
1.1Advanced AI1.2QuantumRevolution1.3UnconventionalComputing1.4AugmentedReality1.5CollectiveIntelligence2.1CognitiveEnhancement2.2HumanApplicationsof GeneticEngineering2.3HealthspanExtension2.4ConsciousnessAugmentation2.5Organoids2.6FutureTherapeutics3.1Decarbonisation3.2EarthSystemsModelling3.3FutureFoodSystems3.4SpaceResources3.5OceanStewardship3.6SolarRadiationModification3.7InfectiousDiseases4.1Science-basedDiplomacy4.2Advancesin ScienceDiplomacy4.3Foresight,Prediction,and FuturesLiteracy4.4Democracy-affirmingTechnologies5.1ComplexSystemsScience5.2Futureof Education5.3Future Economics,Trade andGlobalisation5.4The Scienceof theOrigins of Life5.5SyntheticBiology
1.1Advanced AI1.2QuantumRevolution1.3UnconventionalComputing1.4AugmentedReality1.5CollectiveIntelligence2.1CognitiveEnhancement2.2HumanApplicationsof GeneticEngineering2.3HealthspanExtension2.4ConsciousnessAugmentation2.5Organoids2.6FutureTherapeutics3.1Decarbonisation3.2EarthSystemsModelling3.3FutureFoodSystems3.4SpaceResources3.5OceanStewardship3.6SolarRadiationModification3.7InfectiousDiseases4.1Science-basedDiplomacy4.2Advancesin ScienceDiplomacy4.3Foresight,Prediction,and FuturesLiteracy4.4Democracy-affirmingTechnologies5.1ComplexSystemsScience5.2Futureof Education5.3Future Economics,Trade andGlobalisation5.4The Scienceof theOrigins of Life5.5SyntheticBiology

Sub-Field:

1.3.4Optical Computing

    Almost all of the modern world’s information processing tasks are powered by electrons. But scientists have long considered whether the photon — the quantum particle of light — could be a more promising candidate. These particles travel at the speed of light, they are not subject to electrical resistance, and they don’t interfere with each other. This allows multiple light signals to travel extremely fast in parallel, massively boosting data flows.

    These advantages have been known about for decades, but recent innovations, driven by investments from the telecoms industry, have finally started to make optical computing devices practical. In particular, breakthroughs in silicon photonics are making it possible to build sophisticated optical processors using the same technology as the existing chip industry.21

    The most promising near-term application appears to be in AI. That is because optical processors are well-suited to carrying out operations known as matrix multiplications; these are fundamental to all deep learning algorithms.22 But photonic technology appears to be a fundamental building block that could also be used to build quantum computers, neuromorphic processors, memristors and even analogue computing devices.23242526 There are reasons for caution: catching up with and displacing decades of progress in silicon transistor technology remains an enormous engineering challenge, for instance. In addition, photonic chips normally rely on wavelengths of light measured in micrometres, making it unlikely that they could achieve the kind of miniaturisation found in silicon chips that already boast nanoscale features.

    Future Horizons:

    ×××

    5-yearhorizon

    Photonic hardware matures and is put to work

    Advances in chip manufacturing make it possible to combine photonic and electronic components on the same chip. These hybrid processors become a popular approach for running computer vision models in applications where speed and energy-efficiency are important. Photonics becomes a popular approach for processing inherently optical signals such as LIDAR and camera data.

    10-yearhorizon

    Quantum computing embraces photonic hardware

    Photonic approaches to quantum computing gain traction, thanks to the simplicity of the hardware compared to superconducting approaches and their compatibility with light-based quantum and classical communication technology. The technology also enables new analogue computing paradigms that significantly boost scientists’ ability to model some complex phenomena.

    25-yearhorizon

    Fabrication progress creates high-performance photonic computing

    The success of optical devices in certain specialised applications drives progress in fabrication and integration technology, helping photonics to close the gap with silicon-based chips. It becomes a general-purpose computing technology and, thanks to faster processing speeds and much lower-energy requirement, replaces conventional computing hardware in a several important tasks and applications.

    Optical Computing - Anticipation Scores

    How the experts see this field in terms of the expected time to maturity, transformational effect across science and industries, current state of awareness among stakeholders and its possible impact on people, society and the planet. See methodology for more information.

    GESDA Best Reads and Key Resources