amazon-braket/amazon-braket-examples
Aug 2025 – Aug 2025
1 Month active
Languages Used
JSONMarkdownPython
Technical Skills
Circuit ValidationEmulator DevelopmentNoise ModelingPython SDKQuantum Computing
ammarqm
PROFILE
Ammarqm
Ammar Qamar developed the Amazon Braket Local Emulator feature for the amazon-braket-examples repository, enabling users to validate and debug quantum circuits locally with realistic device noise and topology constraints. Leveraging Python and advanced noise modeling techniques, Ammar designed the emulator to support both real-time and historical calibration data as well as custom device properties, closely mirroring actual hardware behavior. This approach allowed quantum algorithm developers to accelerate iteration cycles and reduce reliance on physical devices by providing a robust local testing environment. The work demonstrated depth in emulator development and circuit validation, addressing key challenges in quantum computing workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,374
Activity Months1
Your Network
1386 people
Work History
August 2025
1 Commits • 1 Features
Aug 1, 2025In August 2025, delivered the Amazon Braket Local Emulator feature in the amazon-braket-examples repository, enabling local validation and debugging of quantum circuits with realistic device noise and topology. The emulator can be instantiated using real-time or historical calibration data or custom device properties, accelerating quantum algorithm development by providing a local testing environment closely matching actual hardware. This work lays the groundwork for broader testing and faster iteration cycles with reduced hardware dependency.
1 Commits • 1 Features
Aug 1, 2025In August 2025, delivered the Amazon Braket Local Emulator feature in the amazon-braket-examples repository, enabling local validation and debugging of quantum circuits with realistic device noise and topology. The emulator can be instantiated using real-time or historical calibration data or custom device properties, accelerating quantum algorithm development by providing a local testing environment closely matching actual hardware. This work lays the groundwork for broader testing and faster iteration cycles with reduced hardware dependency.
August 2025
Activity
Loading activity data...
Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONMarkdownPython
Technical Skills
Circuit ValidationEmulator DevelopmentNoise ModelingPython SDKQuantum Computing
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline