Molecular Physics · 2011 · 477 citations · 32 references
Natural SciencesChemistryPhysicsComputational ChemistryQuantum ChemistryQuantum ComputingComputational Quantum ChemistryComputational Quantum MechanicsMolecular Quantum MechanicsMolecular SimulationQuantum CircuitsQuantum SimulationElectronic Structure SimulationMolecular Simulation AlgorithmsQuantum Chemical ModelingQuantum Chemistry SimulationQuantum Circuit ModelQuantum Circuit SynthesisQuantum Hamiltonian SimulationQuantum Phase Estimation
Quantum chemistry has advanced through theoretical and technological progress, yet classical computers still cannot efficiently simulate quantum systems exactly. The paper details how pre‑computed molecular integrals can be used to construct a quantum circuit that, via quantum phase estimation, yields the energy of a molecule at fixed geometry. The authors extend existing theory, describe adiabatic state preparation, and illustrate a full hydrogen‑molecule simulation on a quantum computer using a sequence of elementary gates and quantum phase estimation.
Over the last century, a large number of physical and mathematical developments paired with rapidly advancing technology have allowed the field of quantum chemistry to advance dramatically. However, the lack of computationally efficient methods for the exact simulation of quantum systems on classical computers presents a limitation of current computational approaches. We report, in detail, how a set of pre-computed molecular integrals can be used to explicitly create a quantum circuit, i.e. a sequence of elementary quantum operations, that, when run on a quantum computer, obtains the energy of a molecular system with fixed nuclear geometry using the quantum phase estimation algorithm. We extend several known results related to this idea and discuss the adiabatic state preparation procedure for preparing the input states used in the algorithm. With current and near future quantum devices in mind, we provide a complete example using the hydrogen molecule of how a chemical Hamiltonian can be simulated using a quantum computer.
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Thaddeus D. Ladd, Fedor Jelezko, Raymond Laflamme et al. · Nature · 2010 · 3.5K citations · Full text
Seth Lloyd · Science · 1996 · 3.1K citations