A long standing puzzle in physics pushing the boundaries in this revolution is the many-body problem. This problem, which deals with how many interacting particles behave collectively, is at the heart of various research lines that are enabling fundamental advances. These include the search for new materials for quantum hardware, the development of control protocols for efficiently entangling qubits, and the implementation of advanced classical methods to benchmark novel quantum algorithms. In essence, our ability to understand and control complex many-body systems can be regarded as a key to unlock the potential of quantum technologies.
A long standing puzzle in physics pushing the boundaries in this revolution is the many-body problem. This problem, which deals with how many interacting particles behave collectively, is at the heart of various research lines that are enabling fundamental advances. These include the search for new materials for quantum hardware, the development of control protocols for efficiently entangling qubits, and the implementation of advanced classical methods to benchmark novel quantum algorithms. In essence, our ability to understand and control complex many-body systems can be regarded as a key to unlock the potential of quantum technologies.
When interactions between electrons are so strong that they cannot be treated independently, their collective behavior leads to fascinating phenomena and exotic phases of matter, some still not understood. How do we handle this complexity?
In the quantum realm, classical thermodynamics principles do not necessarily apply. Work, heat, and entropy need re-definitions. It is tempting to harness quantum properties like entanglement to build more efficient technologies. Can we scale them up?
Some problems are so complex that even supercomputers cannot handle them. Quantum computing emerged as a new paradigm for processing information through qubits and quantum circuits. Can it solve the many-body problem with true quantum advantage?