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Açıklama
Quantum annealer is one of the promising candidates to solve NP-hard optimization problems. An optimization problem can be encoded within Ising spin-glass interactions. The main challenges for implementing these interactions with quantum annealers could be the control of interacting units and the ability of programming on them.
The LHZ architecture is a scalable quantum method that provides an alternative encoding configuration for the Ising model just by applying the local fields which can increase the controllability over the quantum system. Besides, it can transform all higher-order interactions among qubits into local
interactions plus some constraints. This method can be easily translated to quantum approximate optimization algorithms (QAOA) in a parallel way in order to use in NISQ devices.
The architecture can be realized on various platforms with local controllability, including superconducting qubits, NV-centers, quantum dots, and atomic systems.