The Neuromorphic Quantumphotonics - Pernice Lab develops advanced technologies at the intersection of nanophotonics, quantum technologies, optical computing, artificial intelligence, and bioengineering. We combine novel materials, nanoscale fabrication, integrated photonics, machine learning, and system-level experimentation to develop new approaches for information processing, sensing, and control.
Quantum Photonic Control Subgroup
Develops integrated photonic technologies for controlling quantum systems. The research includes broad-spectrum electro-optic modulators based on thin-film lithium niobate and tantalate, as well as diamond photonics for quantum registers, enabling efficient optical interfaces to spin-based quantum systems.
Neuromorphic Computation Subgroup
Investigates photonic and hybrid physical architectures for neuromorphic computing. The research spans integrated photonic processors, hybrid optical-electronic computing, neuromorphic materials and devices, and multidimensional optical computing, exploiting the intrinsic parallelism and physical properties of light for efficient information processing.
Neurophotonics and Quantum Sensing Subgroup
The NEQS subgroup develops superconducting nanowire single-photon detectors and cryogenic photonic systems. The work ranges from materials and nanofabrication to integrated detectors, arrays, packaging, and readout, with applications in quantum communication, photonic quantum computing, optical metrology, and advanced imaging.
Neuroplastic Photonics & Hybrid Quantum Photonic Systems Subgroup
The subgroup explore adaptive and reconfigurable photonic systems that combine programmable photonic circuits, machine learning, and quantum technologies. Inspired by neuroplasticity, our research aims to develop photonic architectures that can dynamically adapt to computational tasks and changing environments.
Precision Organoid Engineering for Multi-Organ Interaction Studies (Zeiss-Stiftung programme participant)
The POEM program develops engineered human organoid and multi-organ systems for studying disease mechanisms and therapeutic responses. By combining bioengineering, organ-on-chip technologies, automation, machine learning, and advanced photonic approaches, we aim to create reproducible and physiologically relevant models for biomedical research, personalized medicine, and non-animal testing.
