MIT Researchers Introduce Stochastic Quantum Signal Processing (QSP) as a Randomly-Compiled Version of QSP, and Reduce the Cost of QSP-based Algorithms by a Factor of 1/2

Classical randomness has emerged as an important tool in addressing the challenge of designing quantum protocols and algorithms. Current methods for calibrating and evaluating quantum gates, like randomized benchmarking, depend heavily on classical randomness. Many researchers are exploring ways to incorporate classical randomness to reduce the requirements of traditional quantum algorithms due to the progress […]

The post MIT Researchers Introduce Stochastic Quantum Signal Processing (QSP) as a Randomly-Compiled Version of QSP, and Reduce the Cost of QSP-based Algorithms by a Factor of 1/2 appeared first on MarkTechPost.