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Area of Science:

  • Quantum Computing
  • Quantum Chemistry
  • Quantum Simulation

Background:

  • Quantum harmonic oscillators (qumodes) offer a versatile framework for quantum computing due to their infinite-dimensional Hilbert space.
  • Qubits are limited to two discrete levels, whereas qumodes are better suited for complex quantum simulations.
  • The molecular electronic structure problem is a key challenge in computational chemistry requiring advanced simulation techniques.

Purpose of the Study:

  • To propose and demonstrate a novel approach for mapping molecular electronic structures onto a qumode bosonic problem.
  • To utilize bosonic quantum devices and the variational quantum eigensolver (VQE) for solving these problems.
  • To compute ground potential energy surfaces for benchmark molecular systems.

Main Methods:

  • Mapping the electronic Hamiltonian of molecules to a qumode bosonic Hamiltonian.
  • Employing the variational quantum eigensolver (VQE) algorithm on bosonic quantum devices.
  • Utilizing universal ansatzes like echoed conditional displacement (ECD) and selective number-dependent arbitrary phase (SNAP) operations for state preparation and expectation value computation.
  • Leveraging circuit quantum electrodynamics (cQED) platforms for hardware implementation.

Main Results:

  • Successfully computed ground potential energy surfaces for H2 and linear H4 molecules.
  • Demonstrated the feasibility of the proposed qumode-based approach for molecular simulations.
  • Showcased the compatibility of ECD and SNAP operations with cQED platforms.

Conclusions:

  • The proposed method establishes a new pathway for simulating many-fermion systems using qumode bosonic quantum devices.
  • Hybrid qubit-qumode quantum devices show significant potential for advancing quantum computational chemistry.
  • This work paves the way for more accurate and efficient quantum simulations of molecular electronic structures.