QumVQD enables excited-state quantum chemistry calculations on bosonic qumode hardware by enforcing particle-number symmetry and using Hamiltonian fragmentation, achieving chemical accuracy on H2 and spectroscopic accuracy on vibrational modes with far fewer entangling gates than qubit equivalents.
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A DMET-VQE co-optimization framework reduces qubit requirements and enables equilibrium geometry optimization for molecules up to the size of glycolic acid C2H4O3.
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Excited-State Quantum Chemistry on Qumode-Based Processors via Variational Quantum Deflation
QumVQD enables excited-state quantum chemistry calculations on bosonic qumode hardware by enforcing particle-number symmetry and using Hamiltonian fragmentation, achieving chemical accuracy on H2 and spectroscopic accuracy on vibrational modes with far fewer entangling gates than qubit equivalents.
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Large-scale Efficient Molecule Geometry Optimization with Hybrid Quantum-Classical Computing
A DMET-VQE co-optimization framework reduces qubit requirements and enables equilibrium geometry optimization for molecules up to the size of glycolic acid C2H4O3.