QMAT
2026
8th Annual Conference on Quantum Condensed Matter
July 5-8, 2026
Jawaharlal Nehru University, New Delhi
About QMAT2026
QMAT2026 is the 8th edition of the Quantum Condensed Matter community meeting in India. This is scheduled to be held between July 5-8, 2026, at the Convention Center, Jawaharlal Nehru University (JNU), New Delhi. Since its inception in 2018, the conference has been organized at different institutes in the country, including at IISER Mohali, IISc Bangalore, SNBNCBS Kolkata, TIFR Mumbai, IIT Kanpur, NISER Bhubaneswar, and IIT Guwahati. This conference series has led to significant strengthening of academic networks in consonance with the goals of National Quantum Mission (NQM). This year QMAT2026 is being organised by the School of Physical Sciences, JNU in conjunction with IIT Delhi, NPL New Delhi, and Bennett University, Greater Noida. The conference aims to bring together national and international researchers working in theoretical and experimental aspects of quantum condensed matter systems. It aspires to provide a common platform that will be beneficial for exchanging ideas and learning new techniques. The program includes invited & contributory talks and poster sessions. This conference provides a great opportunity for early-career researchers, such as postdocs and senior graduate students, to showcase their research and also to interact with the leading luminaries in the field. QMAT2026 at JNU is designed as a comprehensive community-driven meeting where discussion, debate, and exchange of ideas take priority.
Scientific Themes
Topological Quantum Materials and Edge States
Exploration of topological phases of matter including quantum spin Hall systems, Weyl and Dirac semimetals, and higher-order topology. Emphasis on protected edge states, Berry curvature effects, and topological transport signatures.
Unconventional Superconductivity and Pairing Mechanism
Investigation of non-BCS pairing symmetries, multiband superconductivity, competing orders, and vortex matter. Focus on microscopic pairing mechanisms in correlated and low-dimensional materials.
Frustrated Magnetism and Correlated Systems
Studies of quantum magnetism, spin liquids, frustrated lattices, and exotic magnetic ground states. Discussions on correlation-driven phenomena and emergent quasiparticles in strongly interacting systems.
Quantum Transport and Spectroscopy
Experimental and theoretical advances in electrical, thermal, and optical transport measurements. Includes ARPES, STM, neutron scattering, and spectroscopic probes of quantum materials.
Quantum Phase Transitions and Critical Phenomena
Investigation of zero-temperature phase transitions driven by quantum fluctuations. Focus on scaling behavior, universality classes, and emergent criticality in correlated electron systems and low-dimensional materials.
Advanced Materials Synthesis and Characterization
Novel synthesis routes for quantum materials including thin films, heterostructures, and high-quality single crystals. Advanced structural and microscopic characterization techniques enabling precise control of electronic and magnetic properties.
2D Moiré Systems, Twistronics and vdW Heterostructures
Physics of moiré superlattices, flat bands, and correlation effects in twisted bilayer and multilayer structures. Engineering quantum states in van der Waals heterostructures and atomically thin materials.
Quantum Devices: Sensors and Computing
Development of superconducting qubits, quantum sensors, hybrid platforms, and scalable architectures for quantum technologies. Focus on coherence, control, and device integration.
Non-Equilibrium Dynamics and Many-Body Localization
Nonequilibrium quantum systems, Floquet engineering, thermalization dynamics, and localization phenomena. Investigation of quantum chaos, entanglement growth, and driven many-body systems.
Theoretical Models and Methods
Advances in density functional theory, renormalization group methods, numerical many-body techniques, and quantum simulation platforms. Emphasis on predictive modeling of complex quantum materials.
AI/ML in Quantum Materials Discovery
Application of machine learning, data-driven modeling, and high-throughput computation for materials prediction and optimization. Integration of AI tools with experimental and theoretical workflows.
Quantum Information and Communication
Foundations of quantum information, entanglement theory, quantum cryptography, and communication protocols. Connections between condensed matter systems and quantum information processing.
