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Description
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Annotation
In today's noisy intermediate-scale quantum (NISQ) era, quantum computers are still heavily affected by quantum noise. If we want to simulate their behaviour faithfully, we need a lot of computing power. NVIDIA CUDA Quantum software allows multiple CPUs or GPUs to be used for these simulations. This course will show how to program this software and how to use many of its features. Attention will be focused in particular on the simulation of quantum circuits with a larger number of qubits, the simulation of quantum noise and specific quantum circuit applications on multiple CPUs or GPUs. The final part of the course will focus on the possibilities of using specific quantum processors (QPUs) from quantum hardware manufacturers or their emulation.
Benefits for the attendees, what will they learn
Participants will learn how to use the NVIDIA CUDA Quantum software through specific examples.
Level
intermediate
Language
English
Prerequisites
Knowledge of basic quantum algorithms, an awareness of variational quantum algorithms, and experience with programming in Python.
Tutor
Jiří Tomčala is a researcher in the Quantum Computing laboratory of the IT4Innovations National Supercomputer Center. He graduated with a degree in Applied Mathematics in 2016 and earned his Ph.D. in Computer Science in 2021. In 2021, 2022, 2023, and 2024, he received the Certificate of Quantum Excellence and Quantum Challenge achievement from IBM Quantum. He also participated as a mentor for quantum computing projects in the PRACE Summer of HPC 2021 and 2022. He is an active publishing researcher in the field of quantum computing and regularly contributes his latest results to scientific conferences and journals. His current research interest lies in the use of quantum computation to solve optimization problems and factorization. Thus, he focuses on variational quantum algorithms and the specific applications of Shor's and Grover's algorithms.
Acknowledgements
This project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101101903. The JU receives support from the Digital Europe Programme and Germany, Bulgaria, Austria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Greece, Hungary, Ireland, Italy, Lithuania, Latvia, Poland, Portugal, Romania, Slovenia, Spain, Sweden, France, Netherlands, Belgium, Luxembourg, Slovakia, Norway, Türkiye, Republic of North Macedonia, Iceland, Montenegro, Serbia. This project has received funding from the Ministry of Education, Youth and Sports of the Czech Republic.
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This course was supported by the Ministry of Education, Youth and Sports of the Czech Republic through the e-INFRA CZ (ID:90254).
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Introduction to NVIDIA CUDA Quantum
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