2024
Graph representation learning for parameter transferability in quantum approximate optimization algorithm.
Quantum Mach. Intell., December, 2024
Quantum-centric supercomputing for materials science: A perspective on challenges and future directions.
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Future Gener. Comput. Syst., 2024
QREChem: Quantum Resource Estimation Software for Chemistry Applications.
CoRR, 2024
Quantum error mitigation and correction mediated by Yang-Baxter equation and artificial neural network.
CoRR, 2024
2023
QArchSearch: A Scalable Quantum Architecture Search Package.
CoRR, 2023
Distributionally Robust Variational Quantum Algorithms with Shifted Noise.
CoRR, 2023
Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem.
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CoRR, 2023
Fundamental causal bounds of quantum random access memories.
CoRR, 2023
Supercomputing tensor networks for U(1) symmetric quantum many-body systems.
CoRR, 2023
Towards provably efficient quantum algorithms for large-scale machine-learning models.
CoRR, 2023
Complexity of Gaussian boson sampling with tensor networks.
CoRR, 2023
Fast Simulation of High-Depth QAOA Circuits.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023
QArchSearch: A Scalable Quantum Architecture Search Package.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023
Parameter Transferability in QAOA Under Noisy Conditions.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023
GPU-Accelerated Error-Bounded Compression Framework for Quantum Circuit Simulations.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023
2022
Unitary Selective Coupled-Cluster Method.
Quantum, 2022
Sampling Frequency Thresholds for Quantum Advantage of Quantum Approximate Optimization Algorithm.
CoRR, 2022
Estimating the frame potential of large-scale quantum circuit sampling using tensor networks up to 50 qubits.
CoRR, 2022
Performance Evaluation and Acceleration of the QTensor Quantum Circuit Simulator on GPUs.
CoRR, 2022
Tensor Network Quantum Simulator With Step-Dependent Parallelization.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022
Embedding Learning in Hybrid Quantum-Classical Neural Networks.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022
Quantum Resource Estimation for Quantum Chemistry Algorithms.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022
Augmenting QAOA Ansatz with Multiparameter Problem-Independent Layer.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022
QuYBE - An Algebraic Compiler for Quantum Circuit Compression.
Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022
Constructing Optimal Contraction Trees for Tensor Network Quantum Circuit Simulation.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022
2021
Quantum Divide and Compute: Exploring the Effect of Different Noise Sources.
SN Comput. Sci., 2021
ELRUNA: Elimination Rule-based Network Alignment.
ACM J. Exp. Algorithmics, 2021
Layer VQE: A Variational Approach for Combinatorial Optimization on Noisy Quantum Computers.
CoRR, 2021
Transferability of optimal QAOA parameters between random graphs.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2021
Importance of Diagonal Gates in Tensor Network Simulations.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2021
TILT: Achieving Higher Fidelity on a Trapped-Ion Linear-Tape Quantum Computing Architecture.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021
2020
Quantum Divide and Compute: Hardware Demonstrations and Noisy Simulations.
Proceedings of the 2020 IEEE Computer Society Annual Symposium on VLSI, 2020
Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
A systematic study of minima in alanine dipeptide.
J. Comput. Chem., 2019
An efficient MPI/OpenMP parallelization of the Hartree-Fock-Roothaan method for the first generation of Intel® Xeon Phi™ processor architecture.
Int. J. High Perform. Comput. Appl., 2019
Use cases of lossy compression for floating-point data in scientific data sets.
Int. J. High Perform. Comput. Appl., 2019
Network Alignment by Propagating Reliable Similarities.
CoRR, 2019
Reinforcement-Learning-Based Variational Quantum Circuits Optimization for Combinatorial Problems.
CoRR, 2019
Multilevel Combinatorial Optimization Across Quantum Architectures.
CoRR, 2019
A Hybrid Approach for Solving Optimization Problems on Small Quantum Computers.
Computer, 2019
Full-state quantum circuit simulation by using data compression.
Proceedings of the International Conference for High Performance Computing, 2019
Evaluating Quantum Approximate Optimization Algorithm: A Case Study.
Proceedings of the Tenth International Green and Sustainable Computing Conference, 2019
2018
Memory-Efficient Quantum Circuit Simulation by Using Lossy Data Compression.
CoRR, 2018
Amplitude-Aware Lossy Compression for Quantum Circuit Simulation.
CoRR, 2018
Community Detection Across Emerging Quantum Architectures.
CoRR, 2018
Real-time data analysis for medical diagnosis using FPGA-accelerated neural networks.
BMC Bioinform., 2018
Evaluation of Intel Memory Drive Technology Performance for Scientific Applications.
Proceedings of the Workshop on Memory Centric High Performance Computing, 2018
Application Aware Tuning of Reconfigurable Multi-Layer Perceptron Architectures.
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018
PaSTRI: Error-Bounded Lossy Compression for Two-Electron Integrals in Quantum Chemistry.
Proceedings of the IEEE International Conference on Cluster Computing, 2018
2017
An efficient MPI/OpenMP parallelization of the Hartree-Fock method for the second generation of Intel Xeon Phi processor.
CoRR, 2017
An efficient MPI/openMP parallelization of the Hartree-Fock method for the second generation of Intel<sup>®</sup> Xeon Phi<sup>™</sup> processor.
Proceedings of the International Conference for High Performance Computing, 2017
Power Measurements of Hartree-Fock Algorithms Using Different Storage Devices.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017
2014
Machine-Learning-Based Load Balancing for Community Ice Code Component in CESM.
Proceedings of the High Performance Computing for Computational Science - VECPAR 2014 - 11th International Conference, Eugene, OR, USA, June 30, 2014
The Heuristic Static Load-Balancing Algorithm Applied to the Community Earth System Model.
Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014
2012
Heuristic static load-balancing algorithm applied to the fragment molecular orbital method.
Proceedings of the SC Conference on High Performance Computing Networking, 2012
2007
A parallel distributed data CPHF algorithm for analytic Hessians.
J. Comput. Chem., 2007
2005
Multilevel Parallelism in Computational Chemistry using Common Component Architecture and Global Arrays.
Proceedings of the ACM/IEEE SC2005 Conference on High Performance Networking and Computing, 2005
2004
Component-based integration of chemistry and optimization software.
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J. Comput. Chem., 2004
2002
A Distributed Data Implementation of Parallel Full CI Program.
Proceedings of the 2002 IEEE International Conference on Cluster Computing (CLUSTER 2002), 2002
Performance and Implementation of Distributed Data CPHF and SCF Algorithms.
Proceedings of the 2002 IEEE International Conference on Cluster Computing (CLUSTER 2002), 2002
1999
Evaluation of file access patterns using realistic I/O workloads for a cluster environment.
Proceedings of the Parallel Computing: Fundamentals & Applications, 1999