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Updated: Jun 14, 2025
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Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
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Effect of Pure Dephasing Quantum Noise in the Quantum Search Algorithm Using Atos Quantum Assembly
Maria Heloísa Fraga da Silva1,2, Gleydson Fernandes de Jesus2, Clebson Cruz1
1Grupo de Informação Quântica e Física Estatística, Centro de Ciências Exatas e das Tecnologias, Universidade Federal do Oeste da Bahia-Campus Reitor Edgard Santos, Rua Bertioga, 892, Morada Nobre I, Barreiras 47810-059, BA, Brazil.
Entropy (Basel, Switzerland)
|August 29, 2024
Summary
This study implements the quantum search algorithm using Atos Quantum Assembly Language (AQASM) and the Quantum Learning Machine (QLM) platform. Results show AQASM and QLM are effective for quantum hardware development and simulation.
Area of Science:
- Quantum Computing
- Quantum Software Development
Background:
- Quantum computing promises future technological advancement, but faces significant quantum software development challenges.
- Overcoming these obstacles is crucial for realizing quantum computing's potential.
Purpose of the Study:
- To implement the quantum search algorithm using Atos Quantum Assembly Language (AQASM).
- To utilize the my Quantum Learning Machine (myQLM) software stack and Quantum Learning Machine (QLM) platform for development.
- To create a virtual quantum processor for analyzing quantum noise effects.
Main Methods:
- Implementation of the quantum search algorithm in AQASM.
- Utilizing the myQLM software stack and QLM programming platform.
- Development of a configurable virtual quantum processor for noise analysis.
Main Results:
- The implemented quantum search algorithm produced results consistent with theoretical predictions.
- Demonstrated the effectiveness of AQASM for quantum algorithm implementation.
- Validated QLM as a powerful tool for quantum hardware simulation and development.
Conclusions:
- AQASM and QLM are robust tools for building, implementing, and simulating quantum hardware.
- The developed virtual quantum processor aids in understanding quantum noise impacts.
- The study provides replicable code for practical quantum computing projects.
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