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Simulating Quantum Computing on HPC Systems

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XENON Team

With over two decades of experience in designing and deploying supercomputers, servers and HPC clusters under their belt.

XENON has become the leader in high performance computing, storage and artificial intelligence solutions.

Simulating Quantum Computing on Traditional HPC Systems: Developing Tomorrow’s Quantum Algorithms on Today’s CMOS Hardware

The field of quantum computing is receiving growing attention for its potential to break some barriers of traditional CMOS-based hardware. While practical quantum computers are still under development using a variety of different approaches and physical implementations of their fundamental compute elements (qubits), simulating quantum computing on traditional High-Performance Computing (HPC) systems has emerged as a valuable approach for gaining insights into quantum systems and algorithms. This presentation explores the systems, solutions, and software stacks available today for the simulation of quantum computers on HPC systems.

In this talk at eResearch 2023, Dr Scholz reviewed quantum computing simulation techniques and the challenges involved as well as some of the hardware and software available today to run quantum simulations. Recent advances in standard CMOS-based hardware and especially powerful accelerators have increased the size of quantum computer systems which can be simulated, but there are still limits to both the system size and fidelity of the simulations. A variety of simulation tools/frameworks/SDKs are available and we will review their capabilities, challenges, and limitations.

The PDF below provides insights how traditional HPC systems can be leveraged for the simulation of quantum computing systems and some of the important considerations for choosing the right platform for the development of quantum computing algorithms while awaiting the advent of practical quantum hardware.

If you would like to have a more personal briefing on this subject, contact us today.

Download Dr Scholz Slides from this eResearch 2023 presentation (Opens in a new window).

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