Research And Markets Announces The Release Of 'Photonic Integrated Circuit (IC) & Quantum Computing Market-by Application, Integration, Components, Raw Materials & Geography (2012 - 2022)'
DUBLIN, April 4, 2013 /PRNewswire/ --
Research and Markets ( http://www.researchandmarkets.com/research/w6zmnr/photonic) has announced the addition of the "Photonic Integrated Circuit (IC) & Quantum Computing Market-By Application, Integration, Components, Raw Materials & Geography (2012 - 2022)" report to their offering.
Photonic Integrated circuits (PIC) is a breakthrough technology as it uses photons (smallest unit of light) as the data carrier instead of electrons (smallest unit of electricity) used in electronic ICs. As light travels at very high speeds, PIC technology is widely used to transfer huge amounts of data at a very high speed. Thus the PIC based products are primarily deployed in the field of optical fiber communications. Photonic integrated circuits market is growing at a phenomenal rate as it provides significant improvements in system size, power consumption, reliability and cost. The development of silicon photonics technology has helped in large scale manufacturing of PICs at low cost. Also current leading players have developed monolithically integrated Indium Phosphide (InP) based PICs that can integrate more than 600 components/functions in a single chip. Thus there is a huge competition in the market as each player is trying to innovate PIC based products which would be able to integrate large amounts of functions/components at low cost.Optical sensors application is the other promising application in this market. It is used in fields like defense, aerospace, energy, transportation, medicine and other emerging fields. Quantum computing is another application of PICs which is forecasted to be commercialized in 2017. This technology is expected to completely revolutionize the computing industry. PICs are also used in biomedical field. InP-based application specific photonic ICs are being used for the diagnostic analysis of opaque skin tissue. The technique principally used here is Optical Coherence Tomography (OCT) or Raman Scatterometry.
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