Excited-State Quantum Chemistry on Qumode-Based Processors via Variational Quantum Deflation
arXiv QuantumArchived Apr 16, 2026✓ Full text saved
arXiv:2604.13457v1 Announce Type: new Abstract: Variational quantum algorithms on bosonic quantum processors are an emerging paradigm for quantum chemistry calculations, exploiting the natural alignment between molecular structure and harmonic oscillator-based hardware. We introduce the qumode-based variational quantum deflation framework (QumVQD) for finding both electronic and vibrational excited state energies on qumode-based architectures. For electronic structure, we incorporated particle n
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Quantum Physics
[Submitted on 15 Apr 2026]
Excited-State Quantum Chemistry on Qumode-Based Processors via Variational Quantum Deflation
Marlon F. Jost, Sijia S. Dong
Variational quantum algorithms on bosonic quantum processors are an emerging paradigm for quantum chemistry calculations, exploiting the natural alignment between molecular structure and harmonic oscillator-based hardware. We introduce the qumode-based variational quantum deflation framework (QumVQD) for finding both electronic and vibrational excited state energies on qumode-based architectures. For electronic structure, we incorporated particle number conservation constraints via Fock basis Hamming weight filtering. This symmetry enforcement achieves a significant reduction in computational overhead, scaling the Hilbert space dimension as OM \choose n_e rather than O(2^M) for M spin orbitals and n_e electrons. We validate the approach through electronic structure calculations on H_{\text{2}}, achieving agreement with full configuration interaction (FCI) using the STO-3G basis within chemical accuracy across potential energy surfaces. Extending to vibrational structure, we combine QumVQD with Hamiltonian fragmentation based on Bogoliubov transforms, computing CO_{\text{2}} and H_{\text{2}}S vibrational eigenstates to spectroscopic accuracy with entangling gate counts 1-2 orders of magnitude lower than analogous qubit-based algorithms. We performed noise characterization using amplitude-damping models and gate-fidelity analysis, which demonstrates enhanced error resilience due to reduced circuit depth compared to qubit-based algorithms. Together, these results highlight the potential of bosonic quantum devices for advancing computational chemistry, particularly in areas where qubit-based devices struggle.
Subjects: Quantum Physics (quant-ph); Chemical Physics (physics.chem-ph)
Cite as: arXiv:2604.13457 [quant-ph]
(or arXiv:2604.13457v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2604.13457
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From: Sijia Dong [view email]
[v1] Wed, 15 Apr 2026 04:24:32 UTC (1,675 KB)
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