Hefeng Wang
Purdue University
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Publication
Featured researches published by Hefeng Wang.
Physical Chemistry Chemical Physics | 2008
Hefeng Wang; Sabre Kais; Alán Aspuru-Guzik; Mark R. Hoffmann
Simulating a quantum system is more efficient on a quantum computer than on a classical computer. The time required for solving the Schrödinger equation to obtain molecular energies has been demonstrated to scale polynomially with system size on a quantum computer, in contrast to the well-known result of exponential scaling on a classical computer. In this paper, we present a quantum algorithm to obtain the energy spectrum of molecular systems based on the multiconfigurational self-consistent field (MCSCF) wave function. By using a MCSCF wave function as the initial guess, the excited states are accessible. Entire potential energy surfaces of molecules can be studied more efficiently than if the simpler Hartree-Fock guess was employed. We show that a small increase of the MCSCF space can dramatically increase the success probability of the quantum algorithm, even in regions of the potential energy surface that are far from the equilibrium geometry. For the treatment of larger systems, a multi-reference configuration interaction approach is suggested. We demonstrate that such an algorithm can be used to obtain the energy spectrum of the water molecule.
Journal of Modern Optics | 2006
Zhen Huang; Hefeng Wang; Sabre Kais
Electron–electron correlation in quantum chemistry calculations can be analysed in terms of entanglement between electrons. Two exactly solvable models: two fixed spin-1/2 particles and two-electron two-site Hubbard model are used to define and discuss the entanglement as a function of the system parameters. Ab initio configuration interaction calculation for entanglement is presented for the H2 molecule. Qualitatively, entanglement and electron–electron correlation have similar behaviour. Thus, entanglement might be used as an alternative measure of electron correlation in quantum chemistry calculations.
Physical Review A | 2011
Hefeng Wang; S. Ashhab; Franco Nori
In the study of open quantum systems, one typically obtains the decoherence dynamics by solving a master equation. The master equation is derived using knowledge of some basic properties of the system, the environment and their interaction: one basically needs to know the operators through which the system couples to the environment and the spectral density of the environment. For a large system, it could become prohibitively difficult to even write down the appropriate master equation, let alone solve it on a classical computer. In this paper, we present a quantum algorithm for simulating the dynamics of an open quantum system. On a quantum computer, the environment can be simulated using ancilla qubits with properly chosen single-qubit frequencies and with properly designed coupling to the system qubits. The parameters used in the simulation are easily derived from the parameters of the system+environment Hamiltonian. The algorithm is designed to simulate Markovian dynamics, but it can also be used to simulate non-Markovian dynamics provided that this dynamics can be obtained by embedding the system of interest into a larger system that obeys Markovian dynamics. We estimate the resource requirements for the algorithm. In particular, we show that for sufficiently slow decoherence a single ancilla qubit could be sufficient to represent the entire environment, in principle.
Physical Review A | 2009
Hefeng Wang; S. Ashhab; Franco Nori
We present an efficient quantum algorithm for preparing a pure state on a quantum computer, where the quantum state corresponds to that of a molecular system with a given number
Molecular Physics | 2005
Hefeng Wang; Yuriy G. Khait a; Mark R. Hoffmann
m
Physical Review A | 2012
Hefeng Wang; S. Ashhab; Franco Nori
of electrons occupying a given number
Physical Review A | 2010
Hefeng Wang; Lian Ao Wu; Yu-xi Liu; Franco Nori
n
Physical Review A | 2010
Hefeng Wang; Chui Ping Yang; Franco Nori
of spin orbitals. Each spin orbital is mapped to a qubit: the states
Scientific Reports | 2016
Hefeng Wang; Lian-Ao Wu
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International Journal of Quantum Information | 2006
Hefeng Wang; Sabre Kais
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