46 citations · 77 across the 8 of their papers we have counts for
8 papers
AQM: A Refresh of the Abstract Qubit Model for Quantum Computing Co-design
Chenxu Liu, Samuel A. Stein, Muqing Zheng +2
Qubits are the fundamental building blocks of quantum information science and applications, whose concept is widely utilized in both quantum physics and quantum computation. While…
Multi-mode Cavity Centric Architectures for Quantum Simulation
Samuel Stein, Fei Hua, Chenxu Liu +6
Near-term quantum computing technologies grapple with huge complexity overheads, hindering their ability to induce algorithms, necessitating engineering and scientific innovations.…
Microarchitectures for Heterogeneous Superconducting Quantum Computers
Samuel Stein, Sara Sussman, Teague Tomesh +12
Noisy Intermediate-Scale Quantum Computing (NISQ) has dominated headlines in recent years, with the longer-term vision of Fault-Tolerant Quantum Computation (FTQC) offering signifi…
Architectures for Multinode Superconducting Quantum Computers
James Ang, Gabriella Carini, Yanzhu Chen +30
Many proposals to scale quantum technology rely on modular or distributed designs where individual quantum processors, called nodes, are linked together to form one large multinode…
QuCNN : A Quantum Convolutional Neural Network with Entanglement Based Backpropagation
Samuel A. Stein, Ying Mao, James Ang +1
Quantum Machine Learning continues to be a highly active area of interest within Quantum Computing. Many of these approaches have adapted classical approaches to the quantum settin…
Quantum Bayesian Error Mitigation Employing Poisson Modelling over the Hamming Spectrum for Quantum Error Mitigation
Samuel Stein, Nathan Wiebe, Yufei Ding +2
The field of quantum computing has experienced a rapid expansion in recent years, with ongoing exploration of new technologies, a decrease in error rates, and a growth in the numbe…
EQC : Ensembled Quantum Computing for Variational Quantum Algorithms
Samuel Stein, Yufei Ding, Nathan Wiebe +5
Variational quantum algorithm (VQA), which is comprised of a classical optimizer and a parameterized quantum circuit, emerges as one of the most promising approaches for harvesting…
QASMBench: A Low-level QASM Benchmark Suite for NISQ Evaluation and Simulation
Ang Li, Samuel Stein, Sriram Krishnamoorthy +1
The rapid development of quantum computing (QC) in the NISQ era urgently demands a low-level benchmark suite and insightful evaluation metrics for characterizing the properties of…