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The current generation of noisy intermediate scale quantum computers introduces new opportunities to study quantum many-body systems.
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2020
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Mario Motta, Chong Sun, Adrian TK Tan, Matthew J O’Rourke, Erika Ye, Austin J Minnich, Fernando GSL Brandão, and Garnet Kin-Lic Chan, “Determining eigenstates and thermal states on a quantum computer using quantum imaginary time evolution,” Nature Physics 16
2020
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Kübra Yeter-Aydeniz, Raphael C Pooser, and George Siopsis, “Practical quantum computation of chemical and nuclear energy levels using quantum imaginary time evolution and lanczos algorithms,” npj Quantum Information 6
2020
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IBM Quantum team. ibmq_bogota v1.0.0, (2020)
2020
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2020
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2020
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Michael Lubasch, Jaewoo Joo, Pierre Moinier, Martin Kiffner, and Dieter Jaksch, “Variational quantum algorithms for nonlinear problems,” Phys. Rev. A 101
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