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This hybrid quantum-classical scheme extends quantum phase estimation to finite temperatures, enabling accurate modeling of strongly correlated materials without prior knowledge of excitation channels. By achieving a tenfold increase in reconstructing the one-particle Green's function, the approach overcomes significant limitations of traditional zero-temperature techniques. This advancement represents a critical step toward efficient simulation of complex electronic systems using dynamical mean-field theory.

Sources coveringQuantum Zeitgeist, AI Alignment Forum, Quantum Computing Report, LessWrong

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Quantum Computers Model Materials’ Electrons with Fewer Measurements

Quantum ZeitgeistMay 30, 20266 min read

Previously limited to zero-temperature systems, quantum phase estimation averaged over variable grids now extends to finite temperatures, offering a new pathway to model material behaviour. This advancement enables determination of a material’s one-particle Green’s function without prior knowledge of excitation channels during measurement. Numerical simulations on strontium vanadate demonstrate the validity of this hybrid quantum-classical approach to dynamical mean-field theory.

Taichi Kosugi of Quemix Inc, and colleagues, in collaboration with Mitsui Kinzoku, the University of Tokyo, and the National Institutes for Quantum Science and Technology (QST), present a new quantum-classical hybrid scheme for dynamical mean-field theory (DMFT) to address correlated electronic systems using quantum computers. A modified quantum phase estimation (QPE) circuit extracts spectral amplitudes and excitation energies from the one-particle Green’s function at finite temperatures, without prior knowledge of the excitation channel. QPE averaged over variable grids (QAVG), a classical approach reconstructing the Green’s function through optimisation and probability distribution modelling, is introduced and the QAVG-DMFT scheme is validated via numerical simulations applied to SrVO3. The development is a…

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