Encoding strongly-correlated many-boson wavefunctions on a photonic
quantum computer: application to the attractive Bose-Hubbard model
- URL: http://arxiv.org/abs/2103.15021v4
- Date: Mon, 1 Nov 2021 11:29:42 GMT
- Title: Encoding strongly-correlated many-boson wavefunctions on a photonic
quantum computer: application to the attractive Bose-Hubbard model
- Authors: Saad Yalouz, Bruno Senjean, Filippo Miatto, Vedran Dunjko
- Abstract summary: Variational quantum algorithms (VQA) are some of the most promising methods to determine the properties of complex strongly correlated quantum many-body systems.
We introduce two different ansatz architectures and demonstrate that the proposed continuous variable quantum circuits can efficiently encode the strongly correlated many-boson wavefunction.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Variational quantum algorithms (VQA) are considered as some of the most
promising methods to determine the properties of complex strongly correlated
quantum many-body systems, especially from the perspective of devices available
in the near term. In this context, the development of efficient quantum circuit
ansatze to encode a many-body wavefunction is one of the keys for the success
of a VQA. Great efforts have been invested to study the potential of current
quantum devices to encode the eigenstates of fermionic systems, but little is
known about the encoding of bosonic systems. In this work, we investigate the
encoding of the ground state of the (simple but rich) attractive Bose-Hubbard
model using a Continuous-Variable (CV) photonic-based quantum circuit. We
introduce two different ansatz architectures and demonstrate that the proposed
continuous variable quantum circuits can efficiently encode (with a fidelity
higher than 99%) the strongly correlated many-boson wavefunction with just a
few layers, in all many-body regimes and for different number of bosons and
initial states. Beyond the study of the suitability of the ansatz to
approximate the ground states of many-boson systems, we also perform initial
evaluations of the use of the ansatz in a variational quantum eigensolver
algorithm to find it through energy minimization. To this end we also introduce
a scheme to measure the Hamiltonian energy in an experimental system, and study
the effect of sampling noise.
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