Applied Quantum Algorithms
The Applied Quantum Algorithms (aQa) research group develops quantum and hybrid classical-quantum algorithms that can tackle real-world problems in our society. These are relevant, for instance, in the domains of quantum chemistry and machine learning. The group also establishes collaborations between industrial partners and academic research. Scientific highlights include the development of a hybrid ‘divide and conquer’ method to solve optimization problems on quantum computers with a small number of qubits.
Contributing to new drugs or more efficient solar panels
The speed at which quantum computers can simulate molecules will bring forth new insights and technologies. These could be new, advanced materials, or complex biological molecules that play a role in cell functioning. In this way, quantum computers could contribute to new medicines or, for example, more efficient solar panels. The aQa group is also investigating how existing, ordinary, computers can work well with quantum computers.
The right algorithm for specific hardware
Quantum algorithms and computers are closely linked. aQa has expertise in developing hardware-aware algorithms that are made for specific qubit platforms. Besides, qubits are very sensitive to disruptions, but with the right algorithms, such disruptions can be repaired. This too is something the group studies.