Quantum Computing Simulation on VLIW Microprocessors

This paper presents the development of a quantum computing simulator on the Elbrus VLIW microprocessor architecture. The simulator is designed to efficiently simulate quantum algorithms by leveraging the parallelism and instruction-level optimization provided by the Elbrus processors. Key features of the simulator include integration with the Elbrus Media Library (EML) to accelerate matrix operations, support for quantum circuit design through a graphical user interface, and the ability to simulate up to 30 qubits using standard storage methods. Additionally, the use of sparse matrix techniques allows for the simulation of larger quantum systems, potentially up to 35 qubits, within a 32 GB memory limit. The results highlight the potential of using VLIW microprocessors for quantum computing simulations and provide insights into the future scalability of such systems.

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Publication Details

Published
2024-11-13
DOI
https://doi.org/10.1109/summa64428.2024.10803673
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00
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article

Quantum Computing Simulation on VLIW Microprocessors

Nikita Bocharov
Quantum Computing Algorithms and Architecture
article

Quantum Computing Simulation on VLIW Microprocessors

Nikita Bocharov
article en

Abstract

This paper presents the development of a quantum computing simulator on the Elbrus VLIW microprocessor architecture. The simulator is designed to efficiently simulate quantum algorithms by leveraging the parallelism and instruction-level optimization provided by the Elbrus processors. Key features of the simulator include integration with the Elbrus Media Library (EML) to accelerate matrix operations, support for quantum circuit design through a graphical user interface, and the ability to simulate up to 30 qubits using standard storage methods. Additionally, the use of sparse matrix techniques allows for the simulation of larger quantum systems, potentially up to 35 qubits, within a 32 GB memory limit. The results highlight the potential of using VLIW microprocessors for quantum computing simulations and provide insights into the future scalability of such systems.

Moscow Institute of Physics and Technology (RU)
Affordable and clean energy
Openalex Percentile: Top 78%
Quantum Computing Algorithms and Architecture
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