69 citations · 95 across the 10 of their papers we have counts for
10 papers
Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE
Yujun Feng, Yuqi Zhang, Jingyi Huang +4
The Variational Quantum Eigensolver (VQE) is essential for molecular simulation in drug discovery, but hardware noise and algorithmic limits restrict its precision. While the NVIDI…
Online Detection of Golden Circuit Cutting Points
Daniel T. Chen, Ethan H. Hansen, Xinpeng Li +7
Quantum circuit cutting has emerged as a promising method for simulating large quantum circuits using a collection of small quantum machines. Running low-qubit "circuit fragments"…
Efficient Quantum Circuit Cutting by Neglecting Basis Elements
Daniel T. Chen, Ethan H. Hansen, Xinpeng Li +7
Quantum circuit cutting has been proposed to help execute large quantum circuits using only small and noisy machines. Intuitively, cutting a qubit wire can be thought of as classic…
Approximate Quantum Circuit Cutting
Daniel Chen, Betis Baheri, Vipin Chaudhary +3
Current and imminent quantum hardware lacks reliability and applicability due to noise and limited qubit counts. Quantum circuit cutting -- a technique dividing large quantum circu…
A Generalization of a Theorem of Rothschild and van Lint
Ning Xie, Shuai Xu, Yekun Xu
A classical result of Rothschild and van Lint asserts that if every non-zero Fourier coefficient of a Boolean function over has the same absolute value, name…
QuClassi: A Hybrid Deep Neural Network Architecture based on Quantum State Fidelity
Samuel A. Stein, Betis Baheri, Daniel Chen +5
In the past decade, remarkable progress has been achieved in deep learning related systems and applications. In the post Moore's Law era, however, the limit of semiconductor fabric…
Quantum-Inspired Classical Algorithm for Slow Feature Analysis
Daniel Chen, Yekun Xu, Betis Baheri +5
Recently, there has been a surge of interest for quantum computation for its ability to exponentially speed up algorithms, including machine learning algorithms. However, Tang sugg…
Quantum-Inspired Classical Algorithm for Principal Component Regression
Daniel Chen, Yekun Xu, Betis Baheri +4
This paper presents a sublinear classical algorithm for principal component regression. The algorithm uses quantum-inspired linear algebra, an idea developed by Tang. Using this te…
QuGAN: A Quantum State Fidelity based Generative Adversarial Network
Samuel A. Stein, Betis Baheri, Daniel Chen +5
Tremendous progress has been witnessed in artificial intelligence where neural network backed deep learning systems have been used, with applications in almost every domain. As a r…
A New Algorithm for Finding Closest Pair of Vectors
Ning Xie, Shuai Xu, Yekun Xu
Given vectors in , how to find two vectors whose pairwise Hamming distance is minimum? This problem is known as the \emph{Closest Pair…