Quantum Algorithm for Higher-Order Unconstrained Binary Optimization and MIMO Maximum Likelihood Detection

In this paper, we propose a quantum algorithm that supports a real-valued higher-order unconstrained binary optimization (HUBO) problem. This algorithm is based on the Grover adaptive search that originally supported HUBO with integer coefficients. Next, as an application example, we formulate multi...

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Veröffentlicht in:	IEEE transactions on communications 2023-04, Vol.71 (4), p.1-1
Hauptverfasser:	Norimoto, Masaya, Mori, Ryuhei, Ishikawa, Naoki
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive search techniques Algorithms Complexity theory Domains Fault tolerance Gates (circuits) Grover adaptive search (GAS) higher-order unconstrained binary optimization (HUBO) Linear programming maximum-likelihood detection (MLD) MIMO communication multiple-input multiple-output (MIMO) Optimization quadratic unconstrained binary optimization (QUBO) Quantum computing Qubit Qubits (quantum computing) Symbols
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