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morekeywords={FROM, RUN, CMD, LABEL, MAINTAINER, EXPOSE, ENV, ADD, COPY, ENTRYPOINT, VOLUME, USER, WORKDIR, ARG, ONBUILD, STOPSIGNAL, HEALTHCHECK, SHELL}, - sensitive=true, - morecomment=[l]{#}, - morestring=[b]" -} -\usepackage{tcolorbox} % For boxed content -\usepackage[utf8]{inputenc} -\usepackage{geometry} % To set page margins -\usepackage{setspace} % For line spacing -\usepackage{setspace} % For line spacing -\geometry{a4paper, margin=1in} - -% Define placeholders if not already defined -\newcommand{\mygraphicspath}{D:/SEM-5/FSDC/quantum-cloud-integration/images/ADYPU_LOGO.png} -\newcommand{\mydegree}{Bachelor of Technology} -\newcommand{\degreename}{Information Technology} -\newcommand{\vname}{Priyanshu Kumar Sharma, Neha Gaikwad, Krishna Pandey, Paavani Bargoti} -\newcommand{\mydep}{School of Engineering} -\newcommand{\vregisternumber}{2022-B-17102004A, 2022-B-01112004, 2022-B-03102004A, 2022-B-23102003} -\newcommand{\vspecialization}{Cloud Technology \& Information Security} -\newcommand{\vdate}{November, 2024} -\newcommand{\vcollege}{Ajeenkya D Y Patil University} -\newcommand{\vtitle}{Quantum Cloud Integration: Potential Impact of Quantum Computing on Cloud Storage} -\newcommand{\department}{School of Engineering} -\newcommand{\vaddresslinei}{Pune, India} -\newcommand{\vaddresslineii}{412105} -\newcommand{\vguide}{Professor Prini Rastogi} - -% Configure listings for code formatting -\lstset{ - basicstyle=\ttfamily\footnotesize, - keywordstyle=\color{blue}\bfseries, - commentstyle=\color{green!50!black}, - stringstyle=\color{red}, - frame=single, - numbers=left, - numberstyle=\tiny, - breaklines=true -} - -\begin{document} - -% Title Page -\thispagestyle{empty} -\begin{center} - % Logo of the University - {\begin{figure}[!h] - \centering - \includegraphics[width=4.5cm]{\mygraphicspath} - \end{figure}} - - - {\large {\bfseries {\vtitle} \par}} - - - \vspace{3\baselineskip} - - A PROJECT REPORT\\[0.5cm] -submitted by\\[0.5cm] -\setstretch{1.25} - {\fontsize{14}{20}\selectfont \bfseries \vname} - -{(\bfseries \vregisternumber)} -\quad\\ -to -\begin{spacing}{1.25} -the \textbf{\vcollege}\\ - -in partial fulfillment of the requirements for the award of the Degree\\ -of\\ -\textbf{Bachelor of Technology}\\ -in\\ -\textbf{\vspecialization} -\end{spacing} -% -\quad\\[0.5cm] - -\begin{spacing}{1.25} -{\fontsize{14}{20}\selectfont\bfseries \department }\\ - -\vaddresslinei\\ -\vaddresslineii\\ -{\fontsize{12}{20}\selectfont \vdate}\\ -\end{spacing} -%% -\end{center} -\pagenumbering{roman} -\newpage - -\begin{center} - \includegraphics[width=4.5cm]{\mygraphicspath}\\[2cm] - \fontsize{14}{16}\selectfont \bfseries - DECLARATION - \end{center} - % - We undersigned hereby declare that the project report - {\bfseries \vtitle} submitted for - partial fulfillment of the requirements for the award of degree of \textbf{Bachelor of Technology} of - the \textbf{Ajeenkya D Y Patil University, Pune}, is a bonafide work done by us - under supervision of \textbf{\vguide}. This submission represents our ideas in - our own words and where ideas or words of others have been included, we have adequately - and accurately cited and referenced the original sources. We also declare that we have - adhered to ethics of academic honesty and integrity and have not misrepresented or - fabricated any data or idea or fact or source in our submission. We understand that our - violation of the above will be a cause for disciplinary action by the institute and/or the - University and can also evoke penal action from the sources which have thus not been - properly cited or from whom proper permission has not been obtained. This report has - not been previously formed the basis for the award of any degree, diploma or similar title - of any other University. - - \qquad\\[1cm] - \begin{tabular}{llll} - Place&:\enspace Pune\qquad \\ - Date&: \vdate \\ - Students&: \vname - \end{tabular} - -\newpage - - - -% Abstract -\begin{center} - \includegraphics[width=4.5cm]{\mygraphicspath}\\[2cm] - \fontsize{14}{16}\selectfont \bfseries - ABSTRACT - \end{center} - -The \textbf{Quantum Cloud Integration: Potential Impact of Quantum Computing on Cloud Storage} project investigates the synergistic integration of quantum computing capabilities with classical cloud infrastructure, aiming to revolutionize storage and data processing paradigms. Quantum computing, known for its ability to tackle complex computational problems, is poised to complement the scalability and accessibility of classical cloud systems. This project highlights a hybrid architecture designed to enhance cloud storage efficiency, data security, and processing capabilities, leveraging quantum algorithms alongside traditional computational methods. - -Key components of the project include: \\ -1. \textbf{Quantum Workflow Implementation}: Quantum circuits are developed using Python and Qiskit to address specific computational tasks, such as optimizing data compression, encryption, and retrieval. The circuits interact seamlessly with classical resources, ensuring a hybrid computational workflow. \\ -2. \textbf{Dockerized Integration Framework}: The entire system is containerized using Docker, enabling modularity, portability, and simplified deployment of hybrid quantum-cloud applications. This framework bridges the gap between classical cloud resources and quantum backends. \\ -3. \textbf{Hybrid Resource Management}: The integration employs AWS for managing classical tasks, such as scalable storage and data handling, while IBM Quantum processes quantum-specific computations, such as Shor’s algorithm for factorization and Grover’s algorithm for search optimization. \\ -4. \textbf{Secure Communication Protocols}: Advanced encryption and secure socket communication ensure robust data transfer between the classical and quantum systems, mitigating potential vulnerabilities in hybrid workflows. - -The system demonstrates groundbreaking use cases, such as efficient data encryption using quantum key distribution (QKD), quantum-enhanced data indexing for cloud storage, and optimized workload distribution across hybrid resources. Challenges addressed include mitigating noise in quantum computations, managing classical-to-quantum transitions, and ensuring real-time responsiveness in hybrid tasks. - -This research underscores the transformative potential of quantum computing in reshaping cloud storage strategies. It highlights how hybrid systems can achieve unparalleled efficiency and security, paving the way for innovative cloud architectures capable of handling future data demands in a quantum era. -\newpage - -% Main Sections - -\begin{center} - \includegraphics[width=4.5cm]{\mygraphicspath}\\[2cm] - \fontsize{14}{16}\selectfont \bfseries - \section{Introduction} - \end{center} - - -Quantum computing represents a significant leap forward from classical computing, offering unparalleled computational power for specific problems. Cloud computing, on the other hand, provides scalable and accessible computational resources. The integration of these technologies can lead to innovative solutions for industries requiring high-performance computing. - -The advent of quantum computing marks a pivotal moment in the history of technology, promising to revolutionize how we approach computational problems. Unlike classical computing, which relies on binary bits (0s and 1s) to process information, quantum computing harnesses the principles of quantum mechanics to operate on quantum bits or qubits. These qubits can exist in multiple states simultaneously, thanks to phenomena such as superposition and entanglement. This capability enables quantum computers to solve certain classes of problems exponentially faster than classical counterparts, opening up unprecedented opportunities in fields ranging from cryptography to optimization, and now, cloud computing. - -Cloud computing, on the other hand, has become a cornerstone of modern data management and processing. Its scalability, cost-efficiency, and accessibility have transformed how individuals and organizations store, retrieve, and process information. With the proliferation of big data and the increasing demand for computational power, traditional cloud systems are beginning to encounter limitations, especially in tasks requiring significant processing efficiency or advanced security measures. This is where quantum computing can step in, complementing classical cloud architectures and addressing these limitations. - -The integration of quantum computing into cloud infrastructure, referred to as quantum-cloud integration, represents a hybrid approach that seeks to leverage the strengths of both paradigms. Quantum computing can handle specific high-complexity tasks such as data encryption, compression, and optimization, while classical systems continue to manage routine and scalable operations. Together, this hybrid system can redefine the landscape of data storage and processing, providing solutions that were previously deemed impractical or impossible. - -This research project focuses on the potential impact of such quantum-cloud integration, particularly in the realm of cloud storage. Traditional cloud storage systems rely heavily on classical algorithms for managing data, ensuring security, and optimizing storage space. However, with the advent of quantum algorithms, tasks like searching large datasets, encrypting sensitive information, and ensuring data integrity can be performed more efficiently. For example, quantum algorithms like Grover’s algorithm can significantly reduce the time required for search operations, while Shor’s algorithm poses challenges—and opportunities—in the realm of encryption and cryptographic systems. - -The project demonstrates a practical implementation of a hybrid quantum-cloud system, employing tools such as Docker for containerization, IBM Quantum for executing quantum algorithms, and AWS for classical cloud functionalities. The architecture emphasizes modularity, ensuring that quantum and classical components can interact seamlessly. By employing a layered approach, the system enables secure communication, effective resource allocation, and optimized workload distribution. - -Beyond its technical framework, the integration of quantum computing into cloud systems has profound implications for industries that rely heavily on data storage and processing. For instance, healthcare could benefit from faster and more secure access to medical records, financial services could enhance fraud detection mechanisms, and scientific research could achieve breakthroughs in simulations and data analysis. - -However, implementing quantum-cloud integration is not without challenges. Quantum computing is still in its nascent stages, with issues like qubit coherence, error rates, and limited hardware availability posing significant barriers. Additionally, transitioning from classical to hybrid systems requires overcoming complexities in resource management, communication protocols, and algorithm compatibility. This project explores these challenges and provides insights into potential solutions, aiming to bridge the gap between theoretical advancements in quantum computing and practical applications in cloud systems. - -The overarching goal of this research is to lay a foundation for understanding the transformative potential of quantum-cloud integration. By examining its technical feasibility, exploring its real-world applications, and addressing its challenges, this work contributes to the evolving narrative of how quantum computing can redefine cloud storage and computing paradigms, paving the way for a future where hybrid systems become the norm. - -\subsection{Core Concepts of Quantum-Cloud Integration} -Quantum-cloud integration is a multidisciplinary field that combines principles from quantum computing, cloud computing, and cybersecurity. Key concepts include: -\begin{itemize} - \item \textbf{Quantum Computing}: Utilizes qubits to achieve parallelism through superposition and entanglement, enabling exponential computational speedups for specific tasks. - \item \textbf{Cloud Computing}: Offers scalable, flexible, and cost-effective solutions for data storage and processing, essential for businesses and individual users. - \item \textbf{Hybrid Model}: Combines quantum and classical resources, leveraging the strengths of both paradigms to optimize performance and efficiency. -\end{itemize} - - - -\subsection{Objectives} -This paper aims to: -\begin{itemize} - \item Develop a modular architecture to integrate quantum and classical cloud systems. - \item Explore the application of quantum algorithms for tasks like encryption, data search, and optimization in cloud storage. - \item Demonstrate the practical feasibility of hybrid quantum-cloud systems using real-world tools. - \item Address technical challenges such as error rates, resource allocation, and communication protocols. -\end{itemize} - -\subsection{Key Features of the Integration Framework} -The project utilizes the following tools and technologies: -\begin{itemize} - \item \textbf{Secure Communication}: Utilizes encryption techniques for secure data transfer between quantum and classical systems. - \item \textbf{Modular Design}: Ensures flexibility and adaptability for various applications. - \item \textbf{Workflow Optimization}: Allocates tasks to quantum or classical systems based on computational requirements. - \item \textbf{Fault Tolerance}: Implements mechanisms to handle quantum system errors and instability. - -\end{itemize} - -\section{Methodology} -\subsection{Framework Design} -The integration framework is built using Docker containers to manage classical cloud workloads and IBM Quantum for quantum computations. A layered approach ensures seamless interaction between quantum resources and classical systems. - -\subsection{Tools and Technologies} -\begin{itemize} - \item \textbf{Docker:} Containerization of cloud applications for easy deployment. - \item \textbf{IBM Quantum:} Access to quantum algorithms and processing power. - \item \textbf{AWS:} Classical cloud resources used for scalable storage and computational tasks. - \item \textbf{Python and Qiskit:} Programming quantum algorithms and orchestration. -\end{itemize} - -\subsection{Workflow} -Below is an example quantum workflow implemented in Python: - -\begin{tcolorbox}[title=Quantum Circuit Example, colback=gray!5!white, colframe=blue!75!black] -\begin{lstlisting}[language=Python] -from qiskit import QuantumCircuit, Aer, execute - -# Create a simple quantum circuit -qc = QuantumCircuit(2, 2) -qc.h(0) # Apply Hadamard gate -qc.cx(0, 1) # Apply CNOT gate -qc.measure([0, 1], [0, 1]) - -# Simulate the circuit on Aer simulator -simulator = Aer.get_backend('qasm_simulator') -result = execute(qc, simulator, shots=1024).result() - -# Get and display results -counts = result.get_counts() -print("Quantum Results:", counts) -\end{lstlisting} -\end{tcolorbox} - -\section{Implementation} -\subsection{Docker Configuration} -The Docker setup ensures an isolated environment for managing hybrid operations. Below is a snippet of the `Dockerfile`: - -\begin{tcolorbox}[title=Dockerfile Example, colback=gray!5!white, colframe=blue!75!black] -\begin{lstlisting}[language=Python] -# Use an official Python runtime as the base image -FROM python:3.9-slim - -# Set the working directory -WORKDIR /app - -# Copy project requirements -COPY requirements.txt ./ - -# Install dependencies -RUN pip install --no-cache-dir -r requirements.txt - -# Copy the rest of the application code -COPY . . - -# Define the command to run the application -CMD ["python", "main.py"] -\end{lstlisting} -\end{tcolorbox} - -% Additional Sections: Challenges, Implications, Future Scope, Conclusion, References -\end{document} diff --git a/images/quantum_vs_classical.png b/images/quantum_vs_classical.png deleted file mode 100644 index a19e2e0..0000000 Binary files a/images/quantum_vs_classical.png and /dev/null differ diff --git a/notebooks/quantum_experiments.ipynb b/notebooks/quantum_experiments.ipynb index 81ea458..a01ca48 100644 --- a/notebooks/quantum_experiments.ipynb +++ b/notebooks/quantum_experiments.ipynb @@ -6,6 +6,7 @@ "metadata": {}, "outputs": [ { +<<<<<<< HEAD "ename": "ModuleNotFoundError", "evalue": "No module named 'qiskit.providers.aer'", "output_type": "error", @@ -14,6 +15,17 @@ "\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", "Cell \u001b[1;32mIn[1], line 4\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mqiskit\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m QuantumCircuit\n\u001b[0;32m 3\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mqiskit\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mvisualization\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m plot_histogram\n\u001b[1;32m----> 4\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mqiskit\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mproviders\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01maer\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Aer \u001b[38;5;66;03m# Corrected import\u001b[39;00m\n\u001b[0;32m 5\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mqiskit\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m execute\n\u001b[0;32m 6\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mmatplotlib\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpyplot\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mplt\u001b[39;00m\n", "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'qiskit.providers.aer'" +======= + "ename": "ImportError", + "evalue": "Qiskit is installed in an invalid environment that has both Qiskit >=1.0 and an earlier version. You should create a new virtual environment, and ensure that you do not mix dependencies between Qiskit <1.0 and >=1.0. Any packages that depend on 'qiskit-terra' are not compatible with Qiskit 1.0 and will need to be updated. Qiskit unfortunately cannot enforce this requirement during environment resolution. See https://qisk.it/packaging-1-0 for more detail.", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mImportError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[1], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# Install and upgrade qiskit package\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mqiskit\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m QuantumCircuit\n\u001b[1;32m 3\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mqiskit\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mvisualization\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m plot_histogram\n\u001b[1;32m 4\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mqiskit\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mproviders\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01maer\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Aer \u001b[38;5;66;03m# Corrected import\u001b[39;00m\n", + "File \u001b[0;32m~/.local/lib/python3.11/site-packages/qiskit/__init__.py:38\u001b[0m\n\u001b[1;32m 36\u001b[0m _suppress_error \u001b[38;5;241m=\u001b[39m os\u001b[38;5;241m.\u001b[39menviron\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mQISKIT_SUPPRESS_1_0_IMPORT_ERROR\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mFalse\u001b[39;00m) \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m1\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 37\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mint\u001b[39m(_major) \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m _suppress_error:\n\u001b[0;32m---> 38\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mImportError\u001b[39;00m(\n\u001b[1;32m 39\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mQiskit is installed in an invalid environment that has both Qiskit >=1.0\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 40\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m and an earlier version.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 41\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m You should create a new virtual environment, and ensure that you do not mix\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 42\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m dependencies between Qiskit <1.0 and >=1.0.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 43\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m Any packages that depend on \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mqiskit-terra\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m are not compatible with Qiskit 1.0 and\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 44\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m will need to be updated.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 45\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m Qiskit unfortunately cannot enforce this requirement during environment resolution.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 46\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m See https://qisk.it/packaging-1-0 for more detail.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 47\u001b[0m )\n\u001b[1;32m 49\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mqiskit\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_accelerate\u001b[39;00m\n\u001b[1;32m 50\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mqiskit\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01m_numpy_compat\u001b[39;00m\n", + "\u001b[0;31mImportError\u001b[0m: Qiskit is installed in an invalid environment that has both Qiskit >=1.0 and an earlier version. You should create a new virtual environment, and ensure that you do not mix dependencies between Qiskit <1.0 and >=1.0. Any packages that depend on 'qiskit-terra' are not compatible with Qiskit 1.0 and will need to be updated. Qiskit unfortunately cannot enforce this requirement during environment resolution. See https://qisk.it/packaging-1-0 for more detail." +>>>>>>> 570739f56d23f98e9186908b7280696d9db7a1ff ] } ], @@ -45,10 +57,42 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, +<<<<<<< HEAD "outputs": [], "source": [] +======= + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'QuantumCircuit' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[2], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# Create a quantum circuit\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m qc \u001b[38;5;241m=\u001b[39m \u001b[43mQuantumCircuit\u001b[49m(\u001b[38;5;241m2\u001b[39m, \u001b[38;5;241m2\u001b[39m)\n\u001b[1;32m 3\u001b[0m qc\u001b[38;5;241m.\u001b[39mh(\u001b[38;5;241m0\u001b[39m)\n\u001b[1;32m 4\u001b[0m qc\u001b[38;5;241m.\u001b[39mcx(\u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m1\u001b[39m)\n", + "\u001b[0;31mNameError\u001b[0m: name 'QuantumCircuit' is not defined" + ] + } + ], + "source": [ + "# Create a quantum circuit\n", + "qc = QuantumCircuit(2, 2)\n", + "qc.h(0)\n", + "qc.cx(0, 1)\n", + "qc.measure([0, 1], [0, 1])\n", + "\n", + "# Simulate and visualize the result\n", + "simulator = Aer.get_backend('qasm_simulator')\n", + "job = execute(qc, simulator, shots=1024)\n", + "result = job.result()\n", + "\n", + "counts = result.get_counts(qc)\n", + "print(counts)\n", + "plot_histogram(counts)" + ] +>>>>>>> 570739f56d23f98e9186908b7280696d9db7a1ff }, { "cell_type": "code", @@ -102,7 +146,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -116,9 +160,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.4" + "version": "3.11.9" } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 }