Quantum Computing Publications

Ruslan Shaydulin et al., Evidence of scaling advantage for the quantum approximate optimization algorithm on a classically intractable problem, Science Advances 10(22) 2024.

M. Menickelly, Y. Ha, and M. Otten, Latency considerations for stochastic optimizers in variational quantum algorithms. Quantum 7, 949 (2023).

J. Larson, S. Ruslan, J. Ostrowski, T. Humble, and P. Lotshaw, Transferring variational parameters in QAOA for weighted MaxCut.  APS March Meeting 2022. (abstract)

A. Kakkae,  A. Galda, J. Larson, and R/ Shaydulin, Error mitigation for quantum optimizations circuiuts by leveraging problem symmetries. APS March Meeting 2022. (abstract)

Shaydulin, Ruslan; Hadfield, Stuart; Hogg, Tad; Safro, lly; Classical symmetries and the Quantum Approximate Optimization Algorithm. 20, article 359, 2021.

W. Tang, T. Tomesh, J. Larson, M. Suchara, and M. Martonosi, ​“CutQC: Using Small Quantum Computers for Large Quantum Circuit Evaluations.” In proceedings of the ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), April 2021.

X.-C. Wu, D. Debroy, Y. Ding, J. Baker, Y. Alexeev, K. Brown, and F. Chong, ​“TILT: Achieving Higher Fidelity on a Trapped-Ion Linear-Tape Quantum Computing Architecture.” In proceedings of International Symposium on High-Performance Computer Architecture (HPCA), Feb 2021.

P. Gokhale, O. Angiuli, Y. Ding, K. Gui, T. Tomesh, M. Suchara, M. Martonosi, and F. Chong, ​“O(N3) Measurement Cost for Variational Quantum Eigensolver on Molecular Hamiltonians.” IEEE Transactions on Quantum Engineering, November 2020.

P. Gokhale, O. Angiuli, Y. Ding, K. Gui, T. Tomesh, M. Suchara, M. Martonosi, and F. Chong, ​“Optimization of Simultaneous Measurement for Variational Quantum Eigensolver Applications.” In proceedings of the IEEE International Conference on Quantum Computing and Engineering (QCE20), October 2020.

X. Wu, A. Kolar, J. Chung, D. Jin, T. Zhong, R. Kettimuthu, and M. Suchara, ​“SeQUeNCe: A Customizable Discrete-Event Simulator of Quantum Networks.” Quantum Science and Technology, 6(4) 0405027 (2021).

D. Fedorov, M. Otten, S. Gray, and Y. Alexeev, ​“Ab Initio Molecular Dynamics on Quantum Computers.” J. Chem. Phys. 154, 164103 (2021.

Z. Saleem, ​“Max Independent Set and Quantum Alternating Operator Ansatz.” International Journal of Quantum Information, Vol. 18, No. 04, pp. 2050011, 2020.

T. Ayral, F-M. Le Régent, Z. Saleem, Y. Alexeev and M. Suchara, ​“Quantum Divide and Compute: Hardware Demonstrations and Noisy Simulations.” In proceedings of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI), July 2020.

S. Khairy, R. Shaydulin, L. Cincio, Y. Alexeev, and P. Balaprakash, ​“Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems.” In proceedings of the AAAI Conference on Artificial Intelligence (AAAI), February 2020.

X. Wu, J. Chung, A. Kolar, E. Wang, T. Zhong, R. Kettimuthu and M. Suchara, ​“Simulations of Photonic Quantum Networks for Performance Analysis and Experiment Design.” In proceedings of the IEEE/ACM PHOTONICS workshop, collocated with SC19, November 2019.

X-C. Wu, S. Di, E. Dasgupta, F. Cappello, H. Finkel, Y. Alexeev, and F. Chong, ​“Full-state Quantum Circuit Simulation by Using Data Compression.” In proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC19), November 2019.

R. Shaydulin, and Y. Alexeev, ​“Evaluating Quantum Approximate Optimization Algorithm: A Case Study.” In proceedings of the International Green and Sustainable Computing Conference (IGSC), October 2019.

R. Shaydulin, I. Safro, and J. Larson, ​“Multistart Methods for Quantum Approximate Optimization.” In proceedings of IEEE High Performance Extreme Computing Conference (HPEC), September 2019.

P. Gokhale, O. Angiuli, Y. Ding, K. Gui, T. Tomesh, M. Suchara, M. Martonosi, and F. Chong, ​“Minimizing State Preparations in Variational Quantum Eigensolver by Partitioning into Commuting Families.” Available as ArXiv preprint arXiv:1907.13623, July 2019.

R. Shaydulin, H. Ushijima-Mwesigwa, C. Negre, I. Safro, S. Mniszewski, and Y. Alexeev, ​“A Hybrid Approach for Solving Optimization Problems on Small Quantum Computers.” Computer, Vol. 52, No. 6, pp. 18–26, 2019.

R. Shaydulin, H. Ushijima-Mwesigwa, I. Safro, S. Mniszewski, and Y. Alexeev, ​“Network Community Detection on Small Quantum Computers.” Advanced Quantum Technologies, Vol. 2, No. 9, pp. 1900029, 2019.

F. Cappello, S. Di, S. Li, X. Liang, A. Gok, D. Tao, C. Yoon, X-C. Wu, Y. Alexeev, and F. Chong, ​“Use Cases of Lossy Compression for Floating Point Data in Scientific Data Sets.” International Journal of High Performance Computing Applications, Vol. 33, No. 6, pp. 1201–1220, 2019.

M. Suchara, Y. Alexeev, F. Chong, H. Finkel, H. Hoffmann, J. Larson, J. Osborn, and G. Smith, ​“Hybrid Quantum-Classical Computing Architectures.” In the 3^rd International Workshop on Post-Moore’s Era Supercomputing (PMES), 2018.

M. Otten, J. Larson, M. Min, S. Wild, M. Pelton, and S. Gray, ​“Origins and Optimization of Entanglement in Plasmonically Coupled Quantum Dots.” Physical Review A, Vol. 94, No. 2, pp. 15, 2016.