Yuri Alexeev

Orcid: 0000-0001-5066-2254

According to our database1, Yuri Alexeev authored at least 58 papers between 1999 and 2024.

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Bibliography

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.
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.
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


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