1 citations · 1 across the 4 of their papers we have counts for
5 papers
Parallelizing Dissipative Quantum Algorithms
Sudatta Hor, Nathan Wiebe, Yongshan Ding
Inspired by classical Markov Chain Monte Carlo (MCMC) methods, dissipative quantum algorithms are an emerging class of methods for preparing quantum states on a quantum computer. T…
Efficient Quantum Fourier Transforms For Semisimple Algebras
Ben Foxman, Barak Nehoran, Yongshan Ding
The quantum Fourier transform (QFT) is a fundamental primitive in quantum computation and quantum information. In this work, we extend the framework for the QFT from finite groups…
Local Optimization of Quantum Circuits (Extended Version)
Jatin Arora, Mingkuan Xu, Sam Westrick +4
Recent advances in quantum architectures and computing have motivated the development of new optimizing compilers for quantum programs or circuits. Even though steady progress has…
Quantum-Inspired Fidelity-based Divergence
Yifeng Peng, Dantong Li, Xinyi Li +3
Kullback--Leibler (KL) divergence is a fundamental measure of the dissimilarity between two probability distributions, but it can become unstable in high-dimensional settings due t…
Efficient Quantum Gradient and Higher-order Derivative Estimation via Generalized Hadamard Test
Dantong Li, Dikshant Dulal, Mykhailo Ohorodnikov +2
In the context of Noisy Intermediate-Scale Quantum (NISQ) computing, parameterized quantum circuits (PQCs) represent a promising paradigm for tackling challenges in quantum sensing…