2022
DOI: 10.1103/prxquantum.3.040318
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Simulating Models of Challenging Correlated Molecules and Materials on the Sycamore Quantum Processor

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Cited by 33 publications
(20 citation statements)
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“…As far as the potential gains in scaling are concerned, a recent study suggests that the exponential nature of quantum advantage in quantum chemistry cannot be taken for granted in most cases, although the authors are careful to point out that quantum computers may still be very useful in quantum chemistry. Thus, the search is on for specific chemical systems where quantum computers could be most beneficially applied. …”
Section: Quantum Information Theorymentioning
confidence: 99%
“…As far as the potential gains in scaling are concerned, a recent study suggests that the exponential nature of quantum advantage in quantum chemistry cannot be taken for granted in most cases, although the authors are careful to point out that quantum computers may still be very useful in quantum chemistry. Thus, the search is on for specific chemical systems where quantum computers could be most beneficially applied. …”
Section: Quantum Information Theorymentioning
confidence: 99%
“…Early experimental demonstrations of quantum simulation algorithms have focused on computing ground-and excited-state energies of small molecules [4][5][6][7] or few-site spin [6] and fermionic models [8]. More recently, the scale of quantum simulation experiments has increased in terms of numbers of qubits, diversity of gate sets, and complexity of algorithms, as manifested in simulation of models based on real molecules and materials [9][10][11], various phases of matter such as thermal [12,13], topological [14,15] and many-body localized states [16,17], as well as holographic quantum simulation using quantum tensor networks [18][19][20]. As quantum advantages in random sampling have been established on quantum hardware [21,22], focus has turned to the experimental demonstration of quantum advantages in problems of physical significance [23].…”
Section: Introductionmentioning
confidence: 99%
“…This potential quantum advantage has recently excited both hardware and software communities generating rapid progress in the field. Several quantum algorithms have been developed, and among them, the Variational Quantum Eigensolver (VQE) appears well suited for its practical implementation on present Noisy Intermediate Scaled Quantum (NISQ) devices. , VQE simulations have been performed numerically for molecules using various virtual noiseless simulators and have been tested experimentally on actual NISQ devices. , An important component in VQE is the parametrized ansatz, which represents the trial wave function and is implemented as a quantum circuit, composed of unitary quantum gates, that measures the energy expectation value of the trial wave function and then its parameters are updated in a classical optimization loop. The Unitary Coupled-Cluster (UCC) ansatz was used when VQE was initially proposed and has gained lots of attention since then.…”
Section: Introductionmentioning
confidence: 99%