Quantum Computing and Simulation of Many-Body Systems
Abstract
Quantum computing introduces a revolutionary approach to solving problems that are computationally beyond the reach of classical systems. Among its most promising applications is the simulation of many-body systems, where strong particle interactions lead to complex quantum behaviors. Traditional computational techniques often fail due to exponential resource requirements, but quantum simulators can efficiently model these interactions through entanglement and superposition. Recent advances in superconducting qubits, trapped ions, and photonic quantum devices have enabled small- scale experimental demonstrations of spin models, Hubbard systems, and correlated electron dynamics. These developments offer new insights into condensed matter physics and quantum phase transitions. As quantum technologies continue to evolve, they hold the potential to transform the study of materials, superconductivity, and other many-body phenomena with remarkable precision and scalability.
Fields of Study & Subjects
Quantum Computing Algorithms and Architecture
Quantum many-body systems
Quantum Information and Cryptography
Publication details
- Journal / source
- International Journal on Science and Technology
- Volume
- 17
- Issue
- 1
- Publication date
- 10 February 2026
- Language
- EN