21 citations · 52 across the 12 of their papers we have counts for
12 papers
A Novel Spatial-Temporal Variational Quantum Circuit to Enable Deep Learning on NISQ Devices
Jinyang Li, Zhepeng Wang, Zhirui Hu +3
Quantum computing presents a promising approach for machine learning with its capability for extremely parallel computation in high-dimension through superposition and entanglement…
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…
Enabling Full-Stack Quantum Computing with Changeable Error-Corrected Qubits
Anbang Wu, Keyi Yin, Andrew W. Cross +2
Executing quantum applications with quantum error correction (QEC) faces the gate non-universality problem imposed by the Eastin-Knill theorem. As one resource-time-efficient solut…
Quantum algorithms for generator coordinate methods
Muqing Zheng, Bo Peng, Nathan Wiebe +3
This paper discusses quantum algorithms for the generator coordinate method (GCM) that can be used to benchmark molecular systems. The GCM formalism defined by exponential operator…
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…
CollComm: Enabling Efficient Collective Quantum Communication Based on EPR buffering
Anbang Wu, Yufei Ding, Ang Li
The noisy and lengthy nature of quantum communication hinders the development of distributed quantum computing. The inefficient design of existing compilers for distributed quantum…
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…
A Synergistic Compilation Workflow for Tackling Crosstalk in Quantum Machines
Fei Hua, Yuwei Jin, Ang Li +9
Near-term quantum systems tend to be noisy. Crosstalk noise has been recognized as one of several major types of noises in superconducting Noisy Intermediate-Scale Quantum (NISQ) d…
Efficient Hierarchical State Vector Simulation of Quantum Circuits via Acyclic Graph Partitioning
Bo Fang, M. Yusuf Özkaya, Ang Li +2
Early but promising results in quantum computing have been enabled by the concurrent development of quantum algorithms, devices, and materials. Classical simulation of quantum prog…
On the importance of scalability and resource estimation of quantum algorithms for domain sciences
Vincent R. Pascuzzi, Ning Bao, Ang Li
The quantum information science community has seen a surge in new algorithmic developments across scientific domains. These developments have demonstrated polynomial or better impr…
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…