True 3D holography is a very attractive target from user point of view, but the technologies available today are still quite far from that ideal target. Indeed, the ultimate holographic projector will rely on addressing very large arrays of vastly sub-micron tunable photonic devices for which the technology is yet to be developed.
One of the major bottlenecks, next to the actual photonic transducer, is to effectively distribute the huge amount of streaming input control data to the massive array of individual imager cells. The latter are targeted to be 100 nm square, so the space available for this data distribution circuit is very limited. Moreover, it should be cheap to address a broad market of embedded applications, sufficiently high speed to deliver the required update rates, and ultra-low power to increase the portability of the overall system. This combination of requirements makes the circuit topology and underlying technology choices a very challenging research topic. An initial study has shown that the potential is realistic from a pure physics view point but conventional processor platform and communication solutions will not meet these tight specifications. Based on earlier research we have identified some promising concepts with 3D stacked BEOL devices, which are being tested in a very early phase in a quite different context. These concepts have never been transferred to the domain of holography though.
The aim of this PhD thesis will be threefold: i) investigate innovative circuit schemes for distribution of the control data to the photonic transducer array in a 3D holography system, with the appropriate specifications derived from the overall system targets, ii) explore and propose novel circuit schemes extensions which allow to achieve maximal energy efficiency iii) demonstrate this through simulation and a prototype hardware implementation.
Required background: electrical engineering
Type of work: 10% literature, 50% circuit design work, 40% modeling and simulations
Supervisor: Francky Catthoor
Daily advisors: Xavier Rottenberg, Francky Catthoor
The reference code for this PhD position is STS1712-55. Mention this reference code on your application form.