Mutual information-assisted adaptive variational quantum eigensolver [electronic resource]
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Full Text (via OSTI) |
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| Format: | Government Document Electronic eBook |
| Language: | English |
| Published: |
Washington, D.C. : Oak Ridge, Tenn. :
United States. Department of Energy. Office of Science ; Distributed by the Office of Scientific and Technical Information, U.S. Department of Energy,
2021.
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| Subjects: |
| Abstract: | Adaptive construction of ansatz circuits offers a promising route towards applicable variational quantum eigensolvers on near-term quantum hardware. Those algorithms aim to build up optimal circuits for a certain problem and ansatz circuits are adaptively constructed by selecting and adding entanglers from a predefined pool. In this work, we propose a way to construct entangler pools with reduced size by leveraging classical algorithms. Our method uses mutual information between the qubits in classically approximated ground state to rank and screen the entanglers. The density matrix renormalization group method is employed for classical precomputation in this work. We corroborate our method numerically on small molecules. Our numerical experiments show that a reduced entangler pool with a small portion of the original entangler pool can achieve same numerical accuracy. Here, we believe that our method paves a new way for adaptive construction of ansatz circuits for variational quantum algorithms. |
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| Item Description: | Published through Scitech Connect. 08/02/2021. "Journal ID: ISSN 2058-9565." ": US2206095." Zhang, Zi-Jian ; Kyaw, Thi Ha ; Kottmann, Jakob ; Degroote, Matthias ; Aspuru-Guzik, Alan ; Univ. of Toronto, ON (Canada) |
| Physical Description: | Size: Article No. 035001 : digital, PDF file. |