Related Experiment Video
Updated: Sep 4, 2025

05:30
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
Published on: September 8, 2023
653
Efficient realization of quantum primitives for Shor's algorithm using PennyLane library
A V Antipov1,2, E O Kiktenko1,2, A K Fedorov1,2
1Russian Quantum Center, Skolkovo, Moscow, Russia.
Plos One
|July 14, 2022
Summary
This study introduces a new software package for quantum computing, simplifying quantum algorithm implementation and resource analysis for trapped-ion processors. It enables efficient execution of Shor's algorithm using native quantum gates.
Area of Science:
- Quantum Computing
- Quantum Software Engineering
- Computational Complexity
Background:
- Efficient realization of quantum algorithms is crucial for practical quantum computing.
- Existing software frameworks offer various tools but may lack specific optimizations for hardware.
Purpose of the Study:
- To present a software package with quantum gate and algorithm implementations using the PennyLane library.
- To develop and implement a simplified technique for decomposing quantum algorithms into native gates for trapped-ion processors.
- To analyze the resource requirements for Shor's algorithm on trapped-ion quantum computers.
Main Methods:
- Implementation of quantum gates and algorithms using the PennyLane library.
- Development of a simplified decomposition technique for mapping algorithms to native trapped-ion gates.
- Derivation of coefficients for the gate decomposition.
- Analysis of resource requirements for Shor's algorithm, including modular exponentiation and quantum Fourier transform.
Main Results:
- A software package containing quantum gate and algorithm implementations in PennyLane.
- A novel, simplified technique for decomposing quantum algorithms into native trapped-ion gates.
- Detailed analysis of resource requirements for Shor's algorithm on trapped-ion hardware.
- Templates for modular exponentiation and quantum Fourier transform adaptable to user-specified qubit numbers.
Conclusions:
- The developed software package and decomposition technique facilitate efficient quantum algorithm realization on trapped-ion processors.
- The resource analysis provides insights into the practical implementation of Shor's algorithm.
- The provided templates can be integrated into QNode definitions for quantum computation.
Related Concept Videos
The Pauli Exclusion Principle
48.9K
The arrangement of electrons in the orbitals of an atom is called its electron configuration. We describe an electron configuration with a symbol that contains three pieces of information:
48.9K
Parallel Processing
220
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
220

