https://github.com/krausjm7/quantum-circuit-solver-with-bluequbit

Uses Qiskit and BlueQubit platform to solve circuits, with varying qubit size measurements, with quantum algorithms to identify hidden bitstrings in circuits with 30, 42, and 60 qubits. Uses BlueQubit's advanced quantum processing units (QPU) and GPU APIs for execution of code in a high-data rate Jupyter Notebook to handle large quantum datasets.
https://github.com/krausjm7/quantum-circuit-solver-with-bluequbit

bluequbit jupyter-notebook qiskit quantum-algorithms quantum-circuit-simulator quantum-circuits quantum-computing quantum-processing-units

Last synced: 1 day ago
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Uses Qiskit and BlueQubit platform to solve circuits, with varying qubit size measurements, with quantum algorithms to identify hidden bitstrings in circuits with 30, 42, and 60 qubits. Uses BlueQubit's advanced quantum processing units (QPU) and GPU APIs for execution of code in a high-data rate Jupyter Notebook to handle large quantum datasets.

• Host: GitHub
• URL: https://github.com/krausjm7/quantum-circuit-solver-with-bluequbit
• Owner: Krausjm7
• License: apache-2.0
• Created: 2024-11-01T15:28:43.000Z (about 2 months ago)
• Default Branch: main
• Last Pushed: 2024-11-01T15:50:08.000Z (about 2 months ago)
• Last Synced: 2024-12-22T04:24:00.062Z (1 day ago)
• Topics: bluequbit, jupyter-notebook, qiskit, quantum-algorithms, quantum-circuit-simulator, quantum-circuits, quantum-computing, quantum-processing-units
• Language: OpenQASM
• Homepage:
• Size: 163 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Quantum-Circuit-Solver-with-BlueQubit

Leverage Qiskit and BlueQubit platform to solve circuits, with varying qubit size measurements, using quantum algorithms and data analysis to identify hidden bitstrings in circuits with 30, 42, and 60 qubits. Uses BlueQubit's advanced quantum processing units (QPU) and high-performance GPU cluster APIs backends for execution of code in a high-data rate Jupyter Notebook to handle large quantum datasets.

# How to Get Started

First, download the three circuit measurement files ".qasm" for each code solver. Note the directory and update the directory code line for your local storage. Obtain a BlueQubit API and insert it into the code. Step-by-step instructions for installing python packages and running a high data-rate Jupyter Notebook will be coming soon. 

# Acknowledgements

Thank you to BlueQubit for providing me a credit to obtain an API to use their advanced quantum processing units (QPU) and high-performance GPU cluster backends

# Citation

Please ensure your use of this code, modification of this code, or other, provides me credit by listing: Jamie Kraus. Thank you.