The research lab led by Prof. Yaron Oz develops physics-based approaches to quantum technologies and artificial intelligence, translating fundamental scientific ideas into new computational methods and technological applications. The lab combines theoretical and experimental research, with activities spanning quantum algorithms and communication, photonic quantum technologies, machine learning, large language models, and hard computational and optimization problems.

Key Research & Core Technologies
Quantum Algorithms & Computing: Development of quantum algorithms for simulation, optimization, and computationally hard problems. Research combines methods from quantum information with tensor networks, graph states, and photonic architectures, with an emphasis on algorithms and protocols suitable for emerging quantum computing platforms.
Quantum Communication & QKD: Theoretical and experimental research on quantum communication and quantum key distribution (QKD), including the development and analysis of secure quantum communication protocols and their implementation on experimental platforms. The research bridges fundamental quantum information theory with practical challenges in quantum communication and cybersecurity.
AI, Machine Learning & Hard Optimization Problems: Development and application of modern machine learning and AI methods, including large language models (LLMs), for solving hard optimization and computational problems. The lab explores how learning-based approaches can complement analytical, numerical, and quantum methods for problems where conventional computational techniques face significant complexity barriers.
Theoretical Foundations of Machine Learning: Development of physics-based theories of learning and deep neural networks using methods from statistical mechanics, perturbation theory, and information geometry. The research aims to understand learning dynamics and develop principles for improving model efficiency, robustness, generalization, and interpretability.
Quantum Information & Complex Systems: Study of entanglement, quantum complexity, quantum chaos, and many-body quantum systems, providing theoretical foundations and new tools for quantum technologies. Connections to quantum field theory, holography, and fundamental physics form a complementary theoretical component of the lab’s research.

Translational Research & Industry Collaboration
Quantum Communication & Cybersecurity: Development and testing of quantum communication and QKD technologies, with opportunities for collaboration on secure communication systems, quantum networks, and the integration of quantum security technologies with existing infrastructure.
Quantum Algorithms & Applications: Co-development of quantum and quantum-inspired algorithms for application-specific problems, including simulation, optimization, and computational problems relevant to science and industry.
AI & Optimization: Application of machine learning, generative AI, and LLM-based methods to complex optimization, planning, and computational problems, including problems that are difficult to address efficiently with conventional algorithms.
Quantum Hardware & Photonic Technologies: Collaboration with quantum hardware and software developers on algorithms and protocols adapted to emerging platforms, with particular interest in photonic quantum computing, scalable quantum-state generation, and quantum communication.
Joint Research & Technology Development: The lab welcomes collaborations with industry and technology partners through sponsored research, joint R&D projects, proof-of-concept development, and longer-term partnerships connecting fundamental scientific advances with practical technological challenges.

Contact
 Kaplun Building, Room 421
Email: yaronoz@tauex.tau.ac.il
Phone: 03-6408223
Website: https://oz.sites.tau.ac.il/