Current approaches to optical neural networks are only focused on the arithmetic operations, such as matrix vector multiplication and in some cases the activation function. The control flow to enable large matrices, multiple connected layers or methods to increase precision are completely delegated to digital electronics. Here we present our approach to enabling all-optical control flow and precision control to enable full optical AI inference in the future, eliminating the need to jump between the electronic and optical domain for each layer, to increase performance and efficiency.
While photonics is gaining more and more traction, the barrier to entry remains high. Apart from domain knowledge in photonics, existing tools require programming experience, are very complex and often too expensive for newcomers interested in the field. We propose lowering the entry barrier significantly, by providing a free and open-source photonics design framework called Connect-A-PIC. Connect-A-PIC is an educational and productive tool for photonic integrated circuit (PIC) design and simulation. Using a no-code inspired, visual user interface, the goal is to enable anyone with some basic knowledge in optics to learn, explore and create PICs, from design and simulation to synthesized layouts for fabrication. Connect-A-PIC introduces a novel type of standard component library (SCL) for fast and simple netlist generation. The modular design allows for expansion of the SCL and functionality and re-targeting of the output to other tools for more advanced design and simulation needs.
All-optical digital computing has the potential to greatly reduce the latency, power consumption and increasing bandwidth in data center devices. This, however, requires solving 3 fundamental computing paradigms using all-optical methods: data in use, data at rest and data in transit. In this talk we present the current challenges in optical digital logic and discuss the criteria for real-world processing needs (data in use), the challenges in optical memory able to interface with said logic (data at rest) and the challenges facing the overall architectures and interconnects (data in transit). Our goal is to explore how an all-optical digital computer can be realized in the near future by addressing all these challenges and proposing roadmaps for their solution.
Backward Brillouin scattering in whispering-gallery-mode micro-resonators offers an exciting avenue to pursue both classical and quantum optomechanics applications. Our team—the Quantum Measurement Lab—together with our collaborators, are currently utilizing this regime and the favourable properties it affords for non- Gaussian motional state preparation of the acoustic field. In particular, the high mechanical frequencies, and low optical absorption and heating provide a promising route to overcome current hindrances within optomechanics. Three of our recent experimental results in this area include: (i) Brillouin optomechanical strong coupling, (ii) single-phonon addition or subtraction to a thermal state of the acoustic field, and (iii) performing phase-space tomography of non-Gaussian states generated by single- and multi-phonon subtraction. This SPIE presentation will cover these three results, what they enable, and the broader direction of our lab including the prospects of this platform for quantum-memory applications.
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