26th Australian Institute of Physics Congress and the Australian and New Zealand Conference on Optics and Photonics

Session

ANZCOP: Reconfigurable Optical Computing

ANZCOP

8 Dec 2026, 11:00

Belinda Hutchinson Building (The University of Sydney )

Conveners

ANZCOP: Reconfigurable Optical Computing

• Lisa Haerteis

188. Integrated, reconfigurable photonic tensor processor for DNN inference

Lennart Meyer

08/12/2026, 11:00

ANZOS | Photonics and Optics (ANZCOP)

Invited talk

Artificial neural networks increasingly rely on large-scale tensor operations that dominate inference latency and energy consumption. Photonic computing offers a promising route toward high-speed acceleration by performing linear algebra directly in the optical domain. Here, we present an integrated, reconfigurable photonic tensor processor for deep neural network inference. The system...

201. Hybrid photonic synapse for on-chip neuromorphic hardware

Dr Anna Ovvyan (Heidelberg University, Kirchhoff-Institute for Physics)

08/12/2026, 11:30

ANZOS | Photonics and Optics (ANZCOP)

Contributed Oral

The rapidly increasing data-intensive AI workloads and large-scale data centers are driving a fundamental shift toward energy-efficient, scalable, and compact computational hardware design. Neuromorphic computing addresses this need by integrating neurobiological principles with physical hardware to enable fast, low-power, and low-latency processing.
Photonic platform is well-suited for...

132. Uncertainty Reasoning with Photonic Bayesian Machines

Dr Frank Brückerhoff-Plückelmann (Heidelberg University)

08/12/2026, 11:45

ANZOS | Optical Computing and AI (ANZCOP OCAI)

Contributed Oral

Artificial intelligence is increasingly deployed in safety-critical settings, from medical diagnosis to autonomous systems, where models must not only make accurate predictions but also recognize when their predictions are uncertain. However, conventional neural networks are largely deterministic and cannot reliably distinguish uncertainty caused by noisy or ambiguous inputs from uncertainty...

156. Tensor Product Code Concatenation

Stuart Nicholls (University of Sydney)

08/12/2026, 12:00

ANZOS | Quantum Computing and Quantum Information (ANZCOP QCQI)

Contributed Oral

I will discuss a protocol for implementing a concatenated code with reduced check weight, via gauging out qubits in the homological product code. Along the way I will touch upon the unproven conjecture regarding the distance of the homological product code, how this protocol can be viewed as a generalised fault complex of a product of CSS code with a non-repetition classical code, the...

740. Integrated inverse-designed couplers for neurophotonic applications

Stefano Palomba (The University of Sydney)

08/12/2026, 12:15

ANZOS | Photonics and Optics (ANZCOP)

Contributed Oral

Optogenetics has transformed neuroscience by enabling optical control and readout of neuronal activity in vivo with high spatial and temporal precision, opening powerful approaches to dissecting neural circuits and to developing neuroprosthetics and therapies for neurological disorders. Neural probes employ conventionally an optically delivered stimulation, commonly via a grating coupler or...