Quantum computers operate using fundamental units called quantum gates, which are similar in concept to the logic gates used in classical computers. Logic gates perform basic data operations such as “and,” “or,” or “not.” For an algorithm to run on a quantum computer, it must first be decomposed into a series of these basic quantum gates. However, this process can be highly complex, often requiring a large number of quantum gate operations, which can diminish the computational advantages of quantum systems. To address this challenge, researchers have introduced an innovative “hybrid” approach to quantum hardware design. This method replaces certain parts of the quantum circuit with a physical evolution that leverages the system’s natural interactions. By doing so, the hybrid approach significantly simplifies the execution of quantum algorithms compared to traditional methods, making them more efficient and practical.

Full research : Quantum computers operate using quantum gates, but the complexity and large number of these gates can diminish their efficiency. A new “hybrid” approach reduces this complexity by utilizing natural system interactions, making quantum algorithms easier to execute.