Qumode-Based Variational Quantum Eigensolver for Molecular Excited States
Rishab Dutta, Cameron Cianci, Alexander V. Soudackov, Yuchen Wang, Chuzhi Xu, David A. Mazziotti, Lea F. Santos, Victor S. Batista
TL;DR
This work introduces QSS-VQE, a bosonic-qumode–based variational algorithm for computing molecular excited states by embedding the electronic Hamiltonian into a qumode Fock space and using a universal SNAP–displacement ansatz. Energies are evaluated via photon-number measurements and a shared variational unitary across an orthonormal set of input states, following the SSQVE/S[SVQE] framework. The authors demonstrate competitive accuracy on dihydrogen and a conical intersection in cytosine, and show that simple qumode gates can outperform deeper qubit-based circuits on model Hamiltonians, highlighting a potential resource advantage of bosonic quantum computation. These results underscore the potential of bosonic degrees of freedom to enable efficient excited-state simulations and motivate future multi-qumode, hardware-native implementations on cQED platforms.
Abstract
We introduce the Qumode Subspace Variational Quantum Eigensolver (QSS-VQE), a hybrid quantum-classical algorithm for computing molecular excited states using the Fock basis of bosonic qumodes in circuit quantum electrodynamics (cQED) devices. This approach harnesses the native universal gate sets of qubit-qumode architectures to construct highly expressive variational ansatze, offering potential advantages over conventional qubit-based methods. In QSS-VQE, the electronic structure Hamiltonian is first mapped to a qubit representation and subsequently embedded into the Fock space of bosonic qumodes, enabling efficient state preparation and reduced quantum resource requirements. We demonstrate the performance of QSS-VQE through simulations of molecular excited states, including dihydrogen and a conical intersection in cytosine. Additionally, we explore a bosonic model Hamiltonian to assess the expressivity of qumode gates, identifying regimes where qumode-based implementations outperform purely qubit-based approaches. These results highlight the promise of leveraging bosonic degrees of freedom for enhanced quantum simulation of complex molecular systems.
