Revolution in quantum computing: Researchers master new assignment strategies

Revolution in quantum computing: Researchers master new assignment strategies

Den Haag, Niederlande - quantum computing has the potential to fundamentally change the world as we know it. But while this innovative approach to processing information arouses great hopes, there are also considerable challenges that need to be mastered. Researchers at Institute for Computer Science at the LMU Munich have worked for the technology that really works: the software that distributed quantum computing supported.

In current research, a clear focus is placed on the efficient allocation of qubits via a network of processors. The results show that innovative algorithms have been developed that enable communication costs between processors, while at the same time keeping an eye on the structure of circuits and changes in network connectivity. This distributed quantum computing aims to connect several smaller quantum computers to solve complex problems, which is particularly important in times of increasing demands on computing power and data processing.

challenges in quantum computing

The optimization of the allocation strategies for qubits is therefore of crucial importance in order to minimize the consumption of quantum -based resources and reduce communication costs. Several research approaches, including evolutionary algorithms and the simulated cooling process, offer promising solutions. Studies show that these new algorithms can achieve significant savings in communication costs compared to traditional methods, with a reduction rate of 13 % to 70 %.

optimization of quantum circuits

Nature , a two-level optimizer is used to minimize the communication requirements of a large, monolithic quantum mechanical circuit. This methodology disassembles the circuit: At the first level, the quBITs are divided into almost balanced partitions, while the second level aims to optimize the required teleportations.

An example from this method showed the distribution of a circuit with six quBITs and 27 goals: The results of the first level included 13 non-local goals and 26 communication requirements. With the targeted approach, the researchers were able to reduce the total number of necessary teleportations to 14, which underlines the practical benefits of such strategies.

The future of distributed quantum computing

Dutch organization for applied scientific research (tno) show that DQC combines various quantum devices to increase the arithmetic resources. This not only offers opportunities to improve computing power, but also enables secure calculations in which data can be analyzed together without disclosure.

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