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2020
DOI: 10.1007/s11128-020-02800-8
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Incoherent quantum algorithm dynamics of an open system with near-term devices

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Cited by 6 publications
(4 citation statements)
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“…Two of representative VQAs are the variations quantum eigensolver (VQE) which is a hybrid algorithm to approximate the ground state eigenvalues for chemical systems [14,15] and the quantum approximate optimization algorithm (QAOA) for finding an approximate solution of an optimization problem [4,16]. Also, VQAs have been introduced for other promising applications such as simulation open quantum system dynamics [17][18][19][20][21], which allows us to have a better understanding of the nonequilibrium dynamics of many-body quantum systems [10,22].…”
Section: Introductionmentioning
confidence: 99%
“…Two of representative VQAs are the variations quantum eigensolver (VQE) which is a hybrid algorithm to approximate the ground state eigenvalues for chemical systems [14,15] and the quantum approximate optimization algorithm (QAOA) for finding an approximate solution of an optimization problem [4,16]. Also, VQAs have been introduced for other promising applications such as simulation open quantum system dynamics [17][18][19][20][21], which allows us to have a better understanding of the nonequilibrium dynamics of many-body quantum systems [10,22].…”
Section: Introductionmentioning
confidence: 99%
“…The role of coherence in quantum algorithms has attracted considerable attention in recent years [59][60][61][62][63][64][65][66]. It has been found that the Deutsch-Jozsa algorithm relies on coherence during the processing, and its precision is directly related to the recoverable coherence [67,68].…”
Section: Introductionmentioning
confidence: 99%
“…Among the different approaches to quantum computing, NISQ devices, which include relatively low-depth quantum circuits by hybrid variational quantumclassical algorithms, have recently received a lot of attention. Hybrid algorithms have been designed in a way that uses resources such as quantum and classical to solve problems specific optimization tasks that are not accessible to traditional classical computers [38][39][40][41][42][43][44][45][46][47][48][49][50][51][52]. One of the most important advantages of this method is that it requires a small number of qubits (contain from 10 to 10 3 of qubits) to run with high gate fidelity and not fault-tolerant error correction [37].…”
Section: Introductionmentioning
confidence: 99%
“…One of the most important advantages of this method is that it requires a small number of qubits (contain from 10 to 10 3 of qubits) to run with high gate fidelity and not fault-tolerant error correction [37]. Also, these algorithms have been introduced for other applications such as finding ground and excited states [38,43,53] and simulation system dynamics [51,52,54,55]. In this paper, we design the variational hybrid quantum-classical algorithm for calculating quantum and classical correlations.…”
Section: Introductionmentioning
confidence: 99%