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Published on: May 27, 2020
Hamiltonian simulation-based quantum-selected configuration interaction for large-scale electronic structure
Kenji Sugisaki1,2,3,4, Shu Kanno1,5, Toshinari Itoko1,6
1Quantum Computing Center, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama, Kanagawa 223-8522, Japan. ksugisaki@keio.jp.
Hamiltonian simulation-based QSCI (HSB-QSCI) offers a new quantum chemistry method. It efficiently calculates molecular energies by sampling Slater determinants from quantum states, improving accuracy for challenging systems.
Area of Science:
- Quantum chemistry
- Computational physics
- Quantum computing applications
Background:
- Conventional Quantum-Selected Configuration Interaction (QSCI) relies on preparing high-quality wave functions for accurate quantum chemical calculations.
- This preparation step is a bottleneck, especially for strongly correlated systems.
Purpose of the Study:
- To introduce a novel Hamiltonian simulation-based QSCI (HSB-QSCI) method.
- To overcome the limitations of traditional QSCI by avoiding the need for explicit high-quality approximate wave function preparation.
Main Methods:
- HSB-QSCI samples Slater determinants from quantum states generated via real-time evolution of approximate wave functions.
- Numerical simulations were performed for oligoacenes, phenylene-1,4-dinitrene, and hexa-1,2,3,4,5-pentaene.
- Hardware demonstrations were conducted on an IBM quantum processor for carbyne molecules up to 36 qubits.
Main Results:
- HSB-QSCI successfully calculates energies for both simple and strongly correlated systems.
- The method captured over 99.18% of correlation energies using only ~1% of Slater determinants in 36-qubit systems.
- Demonstrated applicability to molecules requiring significant quantum resources.
Conclusions:
- HSB-QSCI is a robust and efficient method for quantum chemical calculations on current quantum computers.
- The approach significantly reduces the computational burden by efficiently selecting relevant electronic configurations.
- HSB-QSCI shows promise for advancing quantum computing applications in chemistry.
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