CV-ADAPT-VQE with tailored symmetry-preserving pools achieves significantly shallower circuits than Hamiltonian-based VQE for bosonic lattice models in GPU classical simulations.
Ramôa, P
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quant-ph 2years
2026 2verdicts
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Adaptive VQE exhibits exponential growth in iterations and circuit depth with system size, accurately predicted by classical Rényi entropy on molecules with 4-10 orbitals.
citing papers explorer
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Continuous-variable ADAPT-VQE for bosonic lattice models
CV-ADAPT-VQE with tailored symmetry-preserving pools achieves significantly shallower circuits than Hamiltonian-based VQE for bosonic lattice models in GPU classical simulations.
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Exponential Scaling Barriers for Variational Quantum Eigensolvers
Adaptive VQE exhibits exponential growth in iterations and circuit depth with system size, accurately predicted by classical Rényi entropy on molecules with 4-10 orbitals.