A commutativity-based dynamic ansatz within DMET enables ground-state simulations of molecules up to 144 qubits using at most 20 qubits at a time with improved accuracy and lower gate counts than standard approaches.
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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.
Noise in present quantum hardware prevents reliable VQE molecular energy estimation for benzene despite Hamiltonian simplifications and optimizer tweaks, requiring substantially lower noise for future utility.
citing papers explorer
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Advancing Practical Quantum Embedding Simulations via Operator Commutativity Based State Preparation for Complex Chemical Systems
A commutativity-based dynamic ansatz within DMET enables ground-state simulations of molecules up to 144 qubits using at most 20 qubits at a time with improved accuracy and lower gate counts than standard approaches.
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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.
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Limitations of Quantum Hardware for Molecular Energy Estimation Using VQE
Noise in present quantum hardware prevents reliable VQE molecular energy estimation for benzene despite Hamiltonian simplifications and optimizer tweaks, requiring substantially lower noise for future utility.