Excited-state energies are obtained by diagonalizing the Hamiltonian in the subspace spanned by the intermediate states of an ADAPT-VQE ground-state calculation.
Variational simulation of the Lipkin-Meshkov-Glick model on a neutral atom quantum computer
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abstract
We simulate the Lipkin-Meshkov-Glick (LMG) model using the Variational-Quantum-Eigensolver (VQE) algorithm on a neutral atom quantum computer. We test the ground-state energy of spin systems with up to 15 spins. Two different encoding schemes are used: an individual spin encoding where each spin is represented by one qubit, and an efficient Gray code encoding scheme which only requires a number of qubits that scales with the logarithm of the number of spins. This more efficient encoding, together with zero noise extrapolation techniques, is shown to improve the fidelity of the simulated energies with respect to exact solutions.
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Excited States from ADAPT-VQE convergence path in Many-Body Problems: application to nuclear pairing problem and $H_4$ molecule dissociation
Excited-state energies are obtained by diagonalizing the Hamiltonian in the subspace spanned by the intermediate states of an ADAPT-VQE ground-state calculation.