Applications of nanophotonics to classical and quantum information technology

R. G. Beausoleil*, D. Fattal, M. Florentino, C. M. Santori, G. Snider, S. M. Spillane, R. S. Williams, W. J. Munro, T. P. Spiller, J. R. Rabeau, S. Prawer, F. Jelezko, P. Tamarat, J. Wrachtrup, P. Hemmer

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Moore's Law has set great expectations that the performance/price ratio of commercially available semiconductor devices will continue to improve exponentially at least until the end of the next decade. Although the physics of nanoscale silicon transistors alone would allow these expectations to be met, the physics of the metal wires that connect these transistors will soon place stringent limits on the performance of integrated circuits. We will describe a Si-compatible global interconnect architecture - based on chip-scale optical wavelength division multiplexing - that could precipitate an "optical Moore's Law" and allow exponential performance gains until the transistors themselves become the bottleneck. Based on similar fabrication techniques and technologies, we will also present an approach to an optically-coupled quantum information processor for computation beyond Moore's Law, encouraging the development of practical applications of quantum information technology for commercial utilization. We present recent results demonstrating coherent population trapping in single N-V diamond color centers as an important first step in this direction.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Publication statusPublished - 28 Nov 2006
EventNanophotonics for Communication: Materials, Devices, and Systems III - Boston, MA, United Kingdom
Duration: 2 Oct 20063 Oct 2006


ConferenceNanophotonics for Communication: Materials, Devices, and Systems III
Country/TerritoryUnited Kingdom
CityBoston, MA


  • Classical information processing
  • Quantum information processing

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