Effective calculation of the Green's function in the time domain on near-term quantum processors
ORAL
Abstract
We propose an improved quantum algorithm to calculate the Green’s function through real-time propagation,
and use it to compute the retarded Green’s function for the two-, three-, and four-site Hubbard models. This
protocol significantly reduces the number of controlled operations when compared to those previously suggested
in literature. Such reduction is quite remarkable when considering the two-site Hubbard model, for which we
show that it is possible to obtain the exact time propagation of the |N ± 1> states by exponentiating one single
Pauli component of the Hamiltonian, allowing us to perform the calculations on an actual superconducting
quantum processor.
and use it to compute the retarded Green’s function for the two-, three-, and four-site Hubbard models. This
protocol significantly reduces the number of controlled operations when compared to those previously suggested
in literature. Such reduction is quite remarkable when considering the two-site Hubbard model, for which we
show that it is possible to obtain the exact time propagation of the |N ± 1> states by exponentiating one single
Pauli component of the Hamiltonian, allowing us to perform the calculations on an actual superconducting
quantum processor.
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Publication: F. Libbi, J. Rizzo, F. Tacchino, N. Marzari and I. Tavernelli, Phys. Rev. Research 4, 043038 (2022)
Presenters
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Francesco Libbi
Ecole Polytechnique Federale de Lausanne
Authors
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Francesco Libbi
Ecole Polytechnique Federale de Lausanne
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Jacopo Rizzo
Università di Roma La Sapienza, Rome
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Francesco Tacchino
IBM Research Zurich
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Nicola Marzari
Ecole Polytechnique Federale de Lausanne, THEOS, EPFL; NCCR MARVEL; LMS, Paul Scherrer Institute, THEOS, EPFL; NCCR MARVEL; LMS, Paul Scherrer Institut, THEOS, EPFL; NCCR, MARVEL; LMS, Paul Scherrer Institut, THEOS, EPFL, THEOS, EPFL; NCCR MARVEL; LSM Paul Scherrer Insitut, THEOS, EPFL; LMS, Paul Scherrer Institut; NCCR MARVEL
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Ivano Tavernelli
IBM Research - Zurich