New criteria reveal VQE needs fault-tolerant quantum computers due to decoherence and QPE has exponentially suppressed success probability from orthogonality catastrophe in classical input states.
Postponing the orthogonality catastrophe: efficient state preparation for electronic structure simulations on quantum devices
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abstract
Despite significant work on resource estimation for quantum simulation of electronic systems, the challenge of preparing states with sufficient ground state support has so far been largely neglected. In this work we investigate this issue in several systems of interest, including organic molecules, transition metal complexes, the uniform electron gas, Hubbard models, and quantum impurity models arising from embedding formalisms such as dynamical mean-field theory. Our approach uses a state-of-the-art classical technique for high-fidelity ground state approximation. We find that easy-to-prepare single Slater determinants such as the Hartree-Fock state often have surprisingly robust support on the ground state for many applications of interest. For the most difficult systems, single-determinant reference states may be insufficient, but low-complexity reference states may suffice. For this we introduce a method for preparation of multi-determinant states on quantum computers.
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UNVERDICTED 2representative citing papers
A graph neural network trained on H4 and H6 predicts optimized orbitals for larger unseen H8-H12 systems with O(10-100) milli-Hartree energy errors and provides effective warm-starts for VQE optimization.
citing papers explorer
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Feasibility of performing quantum chemistry calculations on quantum computers
New criteria reveal VQE needs fault-tolerant quantum computers due to decoherence and QPE has exponentially suppressed success probability from orthogonality catastrophe in classical input states.
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A Transferable Machine Learning Approach to Predict Optimized Orbitals for Electronic Structure Problems
A graph neural network trained on H4 and H6 predicts optimized orbitals for larger unseen H8-H12 systems with O(10-100) milli-Hartree energy errors and provides effective warm-starts for VQE optimization.