QMAT

2026

8th Annual Conference on Quantum Condensed Matter
July 5-8, 2026
Jawaharlal Nehru University, New Delhi

About QMAT 2026

QMAT2026 is the 8th edition of the Quantum Condensed Matter community in India, which is scheduled to be held at the Jawaharlal Nehru University, New Delhi, between July 5-8, 2026. Since its inception in 2018, the conference has been organized every year at different institutions in the country, including IISER Mohali, IISc Bangalore, SNBNCBS Kolkata, TIFR Mumbai, IIT Kanpur, NISER Bhubaneswar, and IIT Guwahati. This has led to significant strengthening of the national academic network in consonance with the goals of the National Quantum Mission. The conference aims to bring together the national and international researchers working on various theoretical, experimental, and technological aspects of condensed matter systems and models on a common platform which will be beneficial for exchanging ideas and learning techniques that are crucially needed for state-of-the-art research. The conference includes both invited as well as contributory talks that are organized in different parallel sessions and spans over a duration of four days. The conference also provides a unique opportunity for early-career researchers, such as postdocs and senior graduate students, to showcase their work through talks and posters and interact with the stalwarts in the field of Quantum Condensed Matter Physics. 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.