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Jérôme Leblanc

Publications and source records attributed to Jérôme Leblanc.

3 recordsLinked to original sources

Resilient strange metal at an unconventional quantum critical point in $d=2$

Properties of the two-dimensional Hubbard model with nearest-neighbor hopping are under scrutiny in cold-atom experiments and diagrammatic quantum Monte Carlo. Given the controlled nature of these approaches, it is timely to make predictions about strange-metal behavior and its relation to quantum-critical properties. Even for interaction strengths below the Mott transition, several peculiarities occur at the quantum critical point separating Fermi liquid and incommensurate spin-density wave order. Here, we predict, using the non-perturbative improved two-particle self-consistent approach, that for correlation lengths ranging from about one to one hundred lattice spacings, Kohn anomalies on the underlying Fermi surface lead to unconventional critical exponents. The temperature dependence of the single-particle self-energy acquires strong momentum dependence along the Fermi surface with no clear evidence of Landau quasiparticles. Nevertheless, we observe strange-metal behavior, namely, resistivity that scales linearly with temperature as $T\rightarrow{0}$. Our work shows that a linear temperature dependence of resistivity arises without a linear-in-temperature self-energy along the Fermi surface, as is often assumed.

cond-mat.str-el↗

Computing Green's functions and improving ground state energy estimation on quantum computers with Liouvillian recursion

We present a quantum-classical hybrid implementation of the Liouvillian recursion method to compute many-body Green's functions using a quantum computer. From an approximate ground state preparation circuit, this algorithm produces the local ($r=r'$) and inter-site ($r\neq r'$) Green's functions $G_{rr'}(ω)$ by measuring observables generated recursively. We demonstrate the approach on a superconducting quantum processor for the open-boundary four-site Hubbard model. We then use the computed Green's functions as input to the Galitskii-Migdal formula to produce better ground state energy estimation than the expectation value of the Hamiltonian for the approximate circuit. Empirical results indicate exponential convergence in the number of iterations, yielding a computational complexity polynomial in the Green's-function accuracy, as measured with the Wasserstein distance. Our results also indicate significant robustness to noise and to inaccuracies of the ground state preparation, providing evidence that Liouvillian recursion is well adapted to the constraints of near-term quantum computing.

quant-ph↗

PSFs for mapping artificial night sky luminance over large territories

Knowledge of the night sky radiance over a large territory may be valuable informationto identify sites appropriate to astronomical observations or for assessing the impacts ofartificial light at night on ecosystems. Measuring the sky radiance can be a complex endeavourdepending on the desired temporal and spatial resolution. Similarly, modelling of artificialnight sky radiance for multiple points of a territory can represent a significant amount ofcomputing time depending on the complexity of the model used. The use of the convolutionof a point spread function with the light sources geographical distribution has been suggestedin order to model the sky radiance over large territories of hundreds of kilometres in size.We determine how the point spread function is sensitive to the main driving parameters ofthe artificial night sky radiance such as the wavelength, the ground reflectance, the obstaclesproperties, the Upward Light Output Ratio and the Aerosol Optical Depth using the Illuminav2 model. The obtained functions were used to model the artificial night sky brightness ofthe Mont-Mégantic International Dark Sky Reserve for winter and summer conditions. Theresults were compared to the New world atlas of artificial night sky brightness, the Illuminav2 model and in situ Sky Quality Camera measurements. We found that the New world atlasoverestimates the artificial sky brightness by 55% whereas the Illumina model underestimatesit by 48%. This may be due to varying atmospherical conditions and the fact that the modelonly accounts for public light sources.

astro-ph.IM↗