Founded in fall 2023, the Cornell Quantum Computing Association (QCA) pushes the boundaries of student research in the field ...

Abstract: Chebyshev interpolation polynomials exhibit the exponential approximation property to analytic functions on a cube. Based on the Chebyshev interpolation polynomial approximation, we propose ...

This achievement lays the foundation for universal algorithms in quantum machine learning and marks an important step ... Their research indicates that the recently proposed bit encoding scheme can ...

Abstract: In applied and numerical algebraic geometry, many problems are reduced to computing an approximation to a real algebraic curve. In order to elevate the results of such a computation to the ...

This contribution is part of the special series of Inaugural Articles by members of the National Academy of Sciences elected in 2020. Quantum hardware is prone to ...

Related: In this case, however, researchers at Princeton Engineering and the Indian Institute of Technology posited that deep-learning-based AI models could use an inverse design method — one that ...

Considering the characteristics of spatial straightness error, this paper puts forward a kind of evaluation method of spatial straightness error using Geometric ...

1 Centro Brasileiro de Pesquisas Físicas, Rio de Janeiro, RJ, Brazil 2 Petróleo Brasileiro S.A., Centro de Pesquisas Leopoldo Miguez de Mello, Rio de Janeiro, Brazil Recent advancements in quantum ...