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Quantum Computing Algorithms
Quantum computing simulations
We develop and apply quantum computing algorithms for the simulation of quantum materials and many-body models. Our focus are algorithms that can be run on noisy intermediate-scale quantum (NISQ) hardware, including variational algorithms and quantum error mitigation methods.
Current topics of interest are algorithms for the simulation of
- Thermal and ground-states properties of correlated electron systems
- Nonequilibrium dynamics of quantum many-body models
- Quantum error mitigation
We participate in the organization of an interdisciplinary talk series on Quantum Information at Saarland University:
Research Activities
Public lecture on “Die zweite Quantenrevolution: Sind Quantenrechner die Zukunft des Computing?”
Gehalten am Tag der offenen Tür, Universität des Saarlandes, 8. Juni 2024
Research talks on “Quantum algorithms for many-body dynamics simulations on noisy intermediate-scale quantum computers”
Seminar talk given at Desy Center for Quantum Technologies and Applications, June 18, 2024
Talk given at Workshop on Quantum Information at Saarland University, Dec 5, 2022
2023 Summer school lectures “Quantum Error Correction and Quantum Computing Applications in Condensed Matter Physics”
Given at U.S. Quantum Information Science School, Fermi National Laboratory in August 2023.
2022 Summer school lectures “Variational quantum algorithms”
Given at the SQMS/GGI Summer School on Quantum Simulation of Field Theories in July 2022:
- Lecture slides
- Lecture notes
- YouTube channel of GGI/SQMS summer school at the Galileo Galileo Institute, Florence, Italy
Variational Trotter compression algorithm for quantum dynamics simulations on NISQ computers
Talk given at 2022 APS March Meeting, Chicago, March 15, 2022
The Future of Computation: Unleashing the Power of Quantum Computers
Talk given at Physics Colloquium, MSU Mankato, April 11, 2022 Talk given at Physics Colloquium, Western Illinois University, Macomb, Nov 8, 2019
- Anirban Mukherjee, Noah F. Berthusen, João C. Getelina, Peter P. Orth, Yong-Xin Yao
Comparative study of adaptive variational quantum eigensolvers for multi-orbital impurity models
Commun Phys 6, 4 (2023). - Benjamin McDonough, Andrea Mari, Nathan Shammah, Nathaniel T. Stemen, Misty Wahl, William J. Zeng, Peter P. Orth
Automated quantum error mitigation based on probabilistic error reduction
2022 IEEE/ACM Third International Workshop on Quantum Computing Software (QCS), Dallas, TX, USA, 2022, pp. 83-93.
See also: arXiv:2210.08611 (2022).
Open-source software repository on Zenodo or GitHub - Noah F. Berthusen, Thaís V. Trevisan, Thomas Iadecola, Peter P. Orth
Quantum dynamics simulations beyond the coherence time on noisy intermediate-scale quantum hardware by variational Trotter compression
Phys. Rev. Research 4, 023097 (2022).
Open-source software repository on Figshare or GitLab - Yong-Xin Yao, Niladri Gomes, Feng Zhang, Thomas Iadecola, Cai-Zhuang Wang, Kai-Ming Ho, Peter P. Orth
Adaptive Variational Quantum Dynamics Simulations
Phys. Rev. X Quantum 2, 030307 (2021). - Yongxin Yao, Feng Zhang, Cai-Zhuang Wang, Kai-Ming Ho, Peter P. Orth
Gutzwiller Hybrid Quantum-Classical Computing Approach for Correlated Materials
Phys. Rev. Research 3, 013184 (2021).
- Github page of our research group
- GQCE Gitlab page and GQCE Figshare page for U.S. DOE funded project "Quantum Computing Enhanced Methods for Correlated Multi-Orbital Materials"
- QANED Gitlab page for NSF funded project "Variational Quantum Algorithms for Nonequilibrium Quantum Many-Body Systems"