Research

Quantum Science & Technology

Quantum science and technology is an interdisciplinary field that leverages the principles of quantum mechanics—such as superposition, entanglement, and tunneling—to develop next-generation methods for information processing, communication, sensing, and materials engineering. It places phenomena that classical physics cannot fully explain at the core of technological innovation.

Quantum technologies are generally grouped into four main domains:

  1. Quantum Computing: Utilizes quantum bits (qubits) to perform certain computations exponentially faster than classical computers. Key applications include complex optimization problems, materials simulation, and cryptographic analysis.

  2. Quantum Communication: Employs techniques like quantum entanglement and quantum key distribution to enable highly secure communication infrastructures that are theoretically almost impossible to break.

  3. Quantum Sensing and Metrology: Offers unprecedented precision in the measurement of magnetic fields, time, gravity, and acceleration through advanced atomic and photonic measurement techniques.

  4. Quantum Materials: Investigates new states of matter—such as topological phases, superconductivity, and 2D materials—where quantum effects play a dominant role, contributing to the design of innovative devices.

Today, quantum technologies hold strategic importance across a wide range of sectors, including defense, healthcare, finance, and space research. Their development directly influences both scientific progress and national/global economic competitiveness. For this reason, many countries are implementing comprehensive programs that integrate academia, industry, and government to strengthen their quantum ecosystems.

Although still in its developmental stage, quantum science and technology is considered one of the most critical fields that will shape the information societies of the future.

Mathematics Applied

Mathematics, Applied covers resources concerned with areas of mathematics that may be applied to other fields of science. It includes areas such as differential equations, numerical analysis, nonlinearity, control, software, systems analysis, computational mathematics, and mathematical modeling. Resources that are concerned with mathematical methods and whose primary focus is on a specific non-mathematics discipline (except biology), such as psychology, history, economics, etc., are covered in the MATHEMATICS, INTERDISCIPLINARY APPLICATIONS category. Resources focusing on mathematical biology are covered in the MATHEMATICAL & COMPUTATIONAL BIOLOGY category.