69 citations · 106 across the 10 of their papers we have counts for
10 papers
Efficient Circuit Wire Cutting Based on Commuting Groups
Xinpeng Li, Vinooth Kulkarni, Daniel T. Chen +5
Current quantum devices face challenges when dealing with large circuits due to error rates as circuit size and the number of qubits increase. The circuit wire-cutting technique ad…
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…
Inferring Quantum Network Topology using Local Measurements
Daniel T. Chen, Brian Doolittle, Jeffrey M. Larson +2
Statistical correlations that can be generated across the nodes in a quantum network depend crucially on its topology. However, this topological information might not be known a pr…
Quantum Circuit Cutting for Classical Shadows
Daniel T. Chen, Zain H. Saleem, Michael A. Perlin
Classical shadow tomography is a sample-efficient technique for characterizing quantum systems and predicting many of their properties. Circuit cutting is a technique for dividing…
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…