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Exact and approximate symmetry projectors for the electronic structure problem on a quantum computer.
Tzu-Ching Yen1, Robert A Lang1, Artur F Izmaylov1
1Department of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto, Ontario M1C 1A4, Canada and Chemical Physics Theory Group, Department of Chemistry, University of Toronto, Toronto, Ontario M5S 3H6, Canada.
Quantum computing for electronic structure problems using variational quantum eigensolver (VQE) can be improved by employing symmetry projectors. These methods enhance wavefunction accuracy without increasing quantum circuit depth.
Area of Science:
- Quantum computing
- Computational chemistry
- Electronic structure theory
Background:
- Variational Quantum Eigensolver (VQE) is a hybrid quantum-classical algorithm for solving quantum mechanical problems.
- Solving the electronic structure problem on quantum computers requires addressing symmetry constraints.
- Ignoring symmetries can lead to convergence to incorrect, symmetry-broken states.
Purpose of the Study:
- To introduce and assess methods for incorporating physical symmetries into the VQE framework.
- To compare the efficiency and feasibility of symmetry projectors against constraint optimization procedures.
- To improve the accuracy of variational wavefunction ansatze in quantum electronic structure calculations.
Main Methods:
- Development and application of exact and approximate symmetry projectors.
- Constraining the VQE search to irreducible eigensubspaces.
- Comparison of projector methods with symmetry constraint optimization.
Main Results:
- Symmetry projectors improve the accuracy of variational wavefunctions without additional unitary transformations.
- Projectors generally require more terms for VQE measurement than constraint approaches.
- The projection formalism offers benefits for reducing quantum circuit depths.
Conclusions:
- Symmetry projectors are a viable and effective method for enhancing VQE accuracy in electronic structure calculations.
- The trade-off between measurement overhead and circuit depth reduction should be considered when choosing between projectors and constraint methods.
- This work advances the application of quantum computing for solving fundamental problems in chemistry and physics.
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