2014
DOI: 10.1038/srep03589
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From transistor to trapped-ion computers for quantum chemistry

Abstract: Over the last few decades, quantum chemistry has progressed through the development of computational methods based on modern digital computers. However, these methods can hardly fulfill the exponentially-growing resource requirements when applied to large quantum systems. As pointed out by Feynman, this restriction is intrinsic to all computational models based on classical physics. Recently, the rapid advancement of trapped-ion technologies has opened new possibilities for quantum control and quantum simulati… Show more

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Cited by 245 publications
(246 citation statements)
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References 55 publications
(86 reference statements)
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“…However, it has a significant practical drawback in that after state preparation, all the desired operations must be performed coherently. A different algorithm for energy estimation has recently been introduced [10,13] that lifts all but an O(1) coherence time requirement after state preparation, making it amenable to implementation on quantum devices in the near future. We briefly review this approach, which we will call Hamiltonian averaging, and bound its costs in applications for quantum chemistry.…”
Section: Hamiltonian Averagingmentioning
confidence: 99%
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“…However, it has a significant practical drawback in that after state preparation, all the desired operations must be performed coherently. A different algorithm for energy estimation has recently been introduced [10,13] that lifts all but an O(1) coherence time requirement after state preparation, making it amenable to implementation on quantum devices in the near future. We briefly review this approach, which we will call Hamiltonian averaging, and bound its costs in applications for quantum chemistry.…”
Section: Hamiltonian Averagingmentioning
confidence: 99%
“…As a result, further developments in variational methods [13], quantum cooling [50], and adiabatic state preparation [7,25,51] will be of key importance in this area. Moreover improvements in the ansatze used to prepare the wave function such as multi-configurational self consistent field calculations(MCSCF) [24,25] or unitary coupled cluster (UCC) [10] will be integral parts of any practical quantum computing for quantum chemistry effort.…”
Section: Using Imperfect Oraclesmentioning
confidence: 99%
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“…The coupling with the surroundings is established during the readout process. As predicted by Feynman, 3 quantum computers could be used as quantum simulators to solve stationary [4][5][6][7][8][9] or non stationary 10-13 quantum problems by simulating them with a controllable experimental setup which allows one to reproduce the dynamics of a given Hamiltonian. Several physical supports have been proposed to encode qubits: 14 photons, 15 spin states using nuclear magnetic resonance (NMR) technology, 16 quantum dots, 17 atoms, 18 molecular rovibrational levels of polyatomic or diatomic molecules, ultracold polar molecules, [48][49][50][51][52][53][54][55][56][57] or a juxtaposition of different types of systems.…”
Section: Introductionmentioning
confidence: 99%
“…As a result, this platform holds great promise for building a large-scale quantum computer 2,3 . These advantages also apply to the construction of quantum simulators [4][5][6][7][8][9][10][11] , for which demonstrations have been made on different problems [12][13][14] . Here, we use a multi-qubit circuit to demonstrate quantum emulation of weak localization, one of the most surprising manifestations of quantum interference in disordered mesoscopic systems.…”
mentioning
confidence: 99%