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Measurement-Based Deterministic Imaginary Time Evolution.
Mao, Yuping; Chaudhary, Manish; Kondappan, Manikandan; Shi, Junheng; Ilo-Okeke, Ebubechukwu O; Ivannikov, Valentin; Byrnes, Tim.
Afiliação
  • Mao Y; State Key Laboratory of Precision Spectroscopy, School of Physical and Material Sciences, East China Normal University, Shanghai 200062, China.
  • Chaudhary M; New York University Shanghai, 567 West Yangsi Road, Shanghai 200126, China.
  • Kondappan M; State Key Laboratory of Precision Spectroscopy, School of Physical and Material Sciences, East China Normal University, Shanghai 200062, China.
  • Shi J; New York University Shanghai, 567 West Yangsi Road, Shanghai 200126, China.
  • Ilo-Okeke EO; State Key Laboratory of Precision Spectroscopy, School of Physical and Material Sciences, East China Normal University, Shanghai 200062, China.
  • Ivannikov V; New York University Shanghai, 567 West Yangsi Road, Shanghai 200126, China.
  • Byrnes T; New York University Shanghai, 567 West Yangsi Road, Shanghai 200126, China.
Phys Rev Lett ; 131(11): 110602, 2023 Sep 15.
Article em En | MEDLINE | ID: mdl-37774296
We introduce a method to perform imaginary time evolution in a controllable quantum system using measurements and conditional unitary operations. By performing a sequence of weak measurements based on the desired Hamiltonian constructed by a Suzuki-Trotter decomposition, an evolution approximating imaginary time evolution can be realized. The randomness due to measurement is corrected using conditional unitary operations, making the evolution deterministic. Both the measurements required for the algorithm and the conditional unitary operations can be constructed efficiently. We show that the algorithm converges only below a specified energy threshold and the complexity is estimated for some specific problem instances.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article