qiskit-connector


Nameqiskit-connector JSON
Version 2.4.3 PyPI version JSON
download
home_pagehttps://github.com/schijioke-uche/qiskit-connector
SummaryQuantum Computing Qiskit Connector For Quantum Backend Use In Realtime
upload_time2025-07-27 15:50:24
maintainerNone
docs_urlNone
authorDr. Jeffrey Chijioke-Uche
requires_python>=3.9
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keywords qiskit connector quantum connection quantum computing ibm quantum qiskit quantum runtimeservice quantum automated backend connectors qpu resources qubits processing unit quantum programming language quantum circuit quantum open plan quantum premier plan quantum standard plan quantum dedicated plan quantum paid plan quantum workloads physical quantum computer quantum algorithms qiskit integration libraries qiskit connector interface python wrapper for qiskit production-ready qiskit tooling quantum sdk connection automation tools
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            # Qiskit Connector

[![Python](https://github.com/QComputingSoftware/pypi-qiskit-connector/raw/main/docs/badges/python.svg)](https://www.python.org/downloads) [![Qiskit Connector Quality Check](https://github.com/QComputingSoftware/pypi-qiskit-connector/actions/workflows/quality.yml/badge.svg)](https://github.com/QComputingSoftware/pypi-qiskit-connector) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.15349641.svg)](https://doi.org/10.5281/zenodo.15304310) [![Qiskit Connector Code Coverage Analysis](https://github.com/QComputingSoftware/pypi-qiskit-connector/raw/main/docs/badges/coverage.svg)](https://github.com/QComputingSoftware/pypi-qiskit-connector) [![Qiskit Connector Latest Release](https://github.com/QComputingSoftware/pypi-qiskit-connector/raw/main/docs/badges/release.svg)](https://github.com/QComputingSoftware/pypi-qiskit-connector/releases) [![PyPI Downloads](https://static.pepy.tech/badge/qiskit-connector)](https://pepy.tech/projects/qiskit-connector) [![License](https://github.com/QComputingSoftware/pypi-qiskit-connector/raw/main/docs/badges/license-badge.svg)](https://opensource.org/licenses/Apache-2.0) [![Downloads Monthly](https://github.com/QComputingSoftware/pypi-qiskit-connector/raw/main/docs/badges/monthly-downloads.svg)](https://pypi.org/project/qiskit-connector) [![Downloads Weekly](https://github.com/QComputingSoftware/pypi-qiskit-connector/raw/main/docs/badges/weekly-downloads.svg)](https://pypi.org/project/qiskit-connector) [![Downloads Daily](https://github.com/QComputingSoftware/pypi-qiskit-connector/raw/main/docs/badges/daily-downloads.svg)](https://pypi.org/project/qiskit-connector) 
 

**🖥️ Qiskit Connector® - Seamless Real-Time Connector for IBM Quantum Computing QPU**

Qiskit Connector® is quantum computing open-source SDK extension. The Qiskit Connector® transforms how quantum developers connect to IBM Quantum backends by automating every step of the authentication, plan detection, and backend selection process. Instead of writing extensive boilerplate setup code for each project, developers can now seamlessly authenticate, dynamically detect whether they are using an `Open` or `Paid` plan, and instantly access the optimal backend `QPU`resource which is least-busy using a single intuitive keyword: `backend`. The connector intelligently manages quantum computing plan environment variables and Qiskit runtime service configuration for sticky reusability of QPU resources from the backend, allowing quantum developers to streamline connection workflows and immediately focus on building, testing, and scaling quantum applications. 
<br><br>
By eliminating manual configurations and connection complexities, Qiskit Connector empowers developers to reduce onboarding time, minimize human error, and accelerate quantum solution delivery. The tool is especially valuable for production-grade quantum development where agility, repeatability, and secure backend access are critical. Whether working in research environments, building enterprise-grade quantum solutions, or designing novel quantum algorithms, developers can now concentrate on high-value tasks without being slowed down by infrastructure setup challenges.
<br><br>
⚛️This package performs the following:
- Loads environment variables from config file (e.g. `.env` if you are local) or load it remotely(depending on detection) to configure your IBM Quantum account plan and make the `backend` object available within your quantum application code for reuse in real-time.
- Detects your active plan (Open, Standard, Premium, Dedicated) and sets up the correct channel/instance.
- It has (`qiskit_smart`) to establish connectivity, then to verify QPU resources using (`qpu_verify`), and retrieve a ready-to-use backend using (`connector()`). Presents you with the least-busy backend QPU to run your quantum application code in realtime.

###### 🧩 Software built by ©2025 Dr. Jeffrey Chijioke-Uche, IBM Computer Scientist & Quantum Ambassador.
---

#### 📋 Built-in classes & functions

These functions are available after you import the module:

```python
from qiskit_connector import QConnectorV2 as connector
from qiskit_connector import QPlanV2 as plan
```
- **`connector()`**  
  **Primary Integration Point:** Seamlessly initializes your IBM Quantum account, selects the optimal QPU (or the first available device for open/paid plans), and emits a clear diagnostics summary. It returns a fully configured `backend` object that you can immediately pass to Qiskit’s sampler, estimator, transpiler, or any circuit execution API—so you can focus on your quantum workflows rather than connection boilerplate.

- **`plan()`**  
  **Subscription Plan Resolver:** Automatically evaluates your environment configuration (via `.env` or system variables) to identify whether you’re operating under the **Open Plan** or a **Paid Plan**. This guarantees that your code consistently targets the correct IBM Quantum service tier, eliminating manual plan management and minimizing configuration drift.

---
    
#### 📌 Changelog

| Version   | Description                                                                                   | Updated Import Syntax                                                                 |
|-----------|-----------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------|
| <= v2.2.2    | Initial import approach using functional-style interface for all versions equal or below v2.2.2                                      | `from qiskit_connector import connector, plan_type`                                   |
| >= v2.2.3    | Switched to class-based architecture with aliasing for enhanced flexibility and clarity for all versions equal or above 2.2.3      | `from qiskit_connector import QConnectorV2 as connector`<br>`from qiskit_connector import QPlanV2 as plan` |

---

#### 🔧 Installation
###### It is recommended that you use `pip` for installation - a common best practice.
```bash
pip install qiskit-connector
```

This will also pull in functionalities powered by Qiskit SDK:
- `qiskit>=2.0.0`  
  

and any other Qiskit dependencies. (Qiskit 1.x is not supported).

---

#### 🗂️ Variable Setup
🔐 [Security Practices](https://cloud.ibm.com/docs/security-compliance?topic=security-compliance-best-practices): Do not check-in to version control any `environment variable config file` or any variable setup file. The best security practice is to add it to your `.gitignore` or to accessible `vault`. During local development, create a file named `.env` at your project root and ensure it is named on your `.gitignore`. The connector will automatically load it. Use the template below as the content of your .env file or variable setup config file. Copy and paste it then supply the values.


```dotenv

# General Purpose:                                            (Required)
#--------------------------------------------------------------------------------------
IQP_API_TOKEN="<PROVIDE_YOUR_API_TOKEN>"  


# Channels:                                                   (Required)
#--------------------------------------------------------------------------------------
OPEN_PLAN_CHANNEL="<PROVIDE_YOUR_CHANNEL>"  
PAID_PLAN_CHANNEL="<PROVIDE PAID PLAN CHANNEL>"  


# API Url:                                                    (Optional)
#--------------------------------------------------------------------------------------
IQP_API_URL=<PROVIDE_YOUR_API_URL>  
IQP_RUNTIME_API_URL=<PROVIDE_YOUR_RUNTIME_API_URL>  


# Quantum Url:                                                (Optional)
#---------------------------------------------------------------------------------------
CLOUD_API_URL="<PROVIDE_YOUR_CLOUD_API_URL>" 
QUANTUM_API_URL="<PROVIDE_YOUR_QUANTUM_API_URL>"  


# Instance:                                                  (Required)
#---------------------------------------------------------------------------------------
OPEN_PLAN_INSTANCE="<PROVIDE_YOUR_OPEN_PLAN_INSTANCE>"  
PAID_PLAN_INSTANCE="<PROVIDE_YOUR_PAID_PLAN_INSTANCE>"  


# Default (Open plan) - free                                   
#---------------------------------------------------------------------------------------
OPEN_PLAN_NAME="open"


# Optional (Upgrade) - Pay as you go                             
#----------------------------------------------------------------------------------------
PAYGO_PLAN_NAME="pay-as-you-go"


# Optional (Upgrade) - Flex                              
#----------------------------------------------------------------------------------------
FLEX_PLAN_NAME="flex"


# Optional (Upgrade) - Premium                                
#----------------------------------------------------------------------------------------
PREMIUM_PLAN_NAME="premium"


# Optional (Upgrade) - Dedicated                               
#----------------------------------------------------------------------------------------
DEDICATED_PLAN_NAME="dedicated"


# Switch "on" plan:                                       (Required)
#----------------------------------------------------------------------------------------
OPEN_PLAN="on"        # [Default & switched on] [Free] 
PAYGO_PLAN="off"
FLEX_PLAN="off"      
PREMIUM_PLAN="off"      
DEDICATED_PLAN="off"    
```
> **⚠️ Only one** of the plans can be set to **"on"** at a time.

---




#### 👤 Usage - With Qiskit 2.x Code Sample

###### 📦 For Open or Paid Plans

```python

# After Qiskit Connector® pip install, Import Qiskit Connector®:
from qiskit_connector import QConnectorV2 as connector
from qiskit_connector import QPlanV2 as plan

# Initialize Qiskit Connector®::
current = plan()
backend = connector()

#-----------------------------------HOW TO USE QISKIT CONNECTOR--------------------------------


# ------------------------------ QISKIT 2.x CODE SAMPLE ---------------------------------------
#     This code sample is using the Qiskit Connector to run with a real quantum backend.
###############################################################################################
# 🔍 This code sample demonstrates how to create a randomized circuit with depolarizing noise
# ✅ QuantumCircuit(2, 2) — matches 2-qubit base circuit
# ✅ Applies independent random Pauli gates per qubit before and after the base logic
# ✅ Uses remove_final_measurements() to cleanly insert logic into the composed circuit
# ✅ Re-applies measurements after twirling to preserve expected output
################################################################################################
from qiskit import QuantumCircuit, transpile
from qiskit_ibm_runtime import SamplerV2 as Sampler, Session

# Define entangled base circuit with superposition and CNOT entanglement
def base_circuit():
    qc = QuantumCircuit(2, 2)
    for q in range(2):
        qc.h(q)
        qc.rx(0.5, q)
        qc.rz(1.0, q)
        qc.s(q)
        qc.t(q)
        qc.h(q)
    qc.cx(0, 1)
    qc.measure([0, 1], [0, 1])
    return qc

# Create randomized circuits with depolarizing noise model
def randomize_circuit(base_qc, p):
    qc = QuantumCircuit(2, 2)
    # Apply randomized Pauli gates before and after the base circuit
    # ... [pauli gate application code here] ...
    return qc

# Prepare circuits
rand_range = 5
p = 0.1
qc = base_circuit()
circuits = [randomize_circuit(qc, p) for _ in range(rand_range)]

# Transpile and submit jobs
qc_t = [transpile(c, backend=backend, optimization_level=3) for c in circuits[:rand_range]]
if current == "Open Plan":
    sampler = Sampler(mode=backend)
    job = sampler.run(qc_t, shots=1)
elif current == "Paid Plan":
    with Session(backend=backend.name) as session:
        sampler = Sampler(mode=session)
        job = sampler.run(qc_t, shots=1)

# Monitor job and retrieve results, then display histograms
# ...
```
[See full code sample here](https://github.com/QComputingSoftware/pypi-qiskit-connector/tree/main/how-to-use)



#### Output Sample
```python

==================================================================================

   ____   ______                                  __
  / __ \ / ____/____   ____   ____   ___   _____ / /_ ____   _____
 / / / // /    / __ \ / __ \ / __ \ / _ \ / ___// __// __ \ / ___/
/ /_/ // /___ / /_/ // / / // / / //  __// /__ / /_ / /_/ // /
\___\_\____/ \____//_/ /_//_/ /_/ \___/ \___/ \__/ \____//_/

🧠 Qiskit Connector® for Quantum Backend Realtime Connection

⚛️ Connecting (Open Plan) to least-busy QPU...
----------------------------------------------------------------------------------
⚛️ Connected [Open Plan] → Realtime Least Busy QPU:: [ibm_sherbrooke]
- ibm_brisbane
- ibm_sherbrooke
- ibm_torino

🖥️ Least Busy QPU Now: [ibm_sherbrooke]
🖥️ Version: 2
🖥️ Qubits Count: 127
🖥️ Backend [ibm_sherbrooke] ready for use: ✔️ Yes
🖥️ Operational: Open Plan
==================================================================================

⚛️ Getting (Open Plan) Least-busy QPU Processor Info...
----------------------------------------------------------------------------------

--- 🔳  Processor Details for QConnector Least Busy Backend QPU: ibm_sherbrooke ---
🦾 Processor Type: Eagle
🦾 Processor Revision: r3
🦾 Processor status: 🟢 Online
       
🟢 Eagle Quantum Processor
==================================================================================

# ------------------------ your job result is below this line --------------------
# ...
```
[See full code sample here](https://github.com/QComputingSoftware/pypi-qiskit-connector/tree/main/how-to-use)


---
####  📜 Citation

Qiskit Connector software invention was inspired by IBM Research on Quantum Computing Qiskit Software, which led the authoring, design, development of Qiskit Connector based on the persistent research studies and tests carried out by  `Dr. Jeffrey Chijioke-Uche(IBM Quantum Ambassador & Research Scientist)` in the lab. This software is expected to continue to metamorphose with the help and work of existing quantum computing academic scholarly & peer reviewed research at different levels in the Information Technology industry. If you use Qiskit for Quantum computing, please cite this software as per the provided [BibTeX](https://github.com/QComputingSoftware/pypi-qiskit-connector/blob/main/CITATION.bib) file. Also, citation is available in the following formats: [Harvard](https://zenodo.org/records/15330579#citation), [APA](https://zenodo.org/records/15330579#citation), [MLA](https://zenodo.org/records/15330579#citation), [IEEE](https://zenodo.org/records/15330579#citation), [Chicago](https://zenodo.org/records/15330579#citation), & [Vancouver](https://zenodo.org/records/15330579#citation)

---

#### 📜 Software Author
Dr. Jeffrey Chijioke-Uche <br>
IBM Computer Scientist <br>
IBM Quantum Ambassador & Research Scientist <br>
IEEE Senior Member (Computational Intelligence)

---
#### 📜  Rights
The Quantum Computing Qiskit Connector is copyrighted and it is a proprietary software developed by Dr. Jeffrey Chijioke-Uche ©2025 - All Rights Reserved. The software is for enhancing development, usability, and workflows in IBM Quantum Computing systems by global users. This software is protected under copyright laws and applicable intellectual property statutes. Unauthorized reproduction, distribution, or derivative use of the software in part or whole is strictly prohibited without express written permission from the author. This software may be used under the terms outlined in the accompanying <b>licenses</b> by ([Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0) and [Creative Commons Attribution 4.0 international](https://creativecommons.org/licenses/by/4.0/legalcode)). Use of this software signifies your agreement to comply with the license terms and to attribute the original author when incorporating the package into your work or systems. For other question(s), please contact the maintainer directly through the official project repository or email channel provided on PyPI. All Rights Reserved.
 

---

#### 📜 Acknowledgment
The development of the Qiskit Connector has been made possible through the support, inspiration, and technical contributions of several leading institutions and communities. The software author would like to express deep gratitude to [IBM Research & IBM Quantum Ambassadors Group](https://research.ibm.com/quantum-computing) for the pioneering efforts in quantum computing and providing the infrastructure and ecosystem that fostered the development of this software. Their continued support has significantly accelerated progress in real-world quantum computing and quantum application development for cutting edge technology advancement.
<br><br>
Additional appreciation is extended to the [IEEE Computational Intelligence](https://cis.ieee.org) Society for their thought leadership in intelligent systems, and to the  [Harvard Program for Research in Science and Engineering](https://www.harvard.edu/) for its role in shaping early research directions. The author also acknowledges [Walden University Research](https://academicguides.waldenu.edu/research-center) for providing a strong academic and methodological foundation throughout the software development lifecycle. These institutions have collectively influenced the innovation and rigor reflected in this project.

---

#### 📜 Licenses

This software uses these licenses for distribution:
- [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0)
- [Creative Commons Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/legalcode)


            

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    "description": "# Qiskit Connector\n\n[![Python](https://github.com/QComputingSoftware/pypi-qiskit-connector/raw/main/docs/badges/python.svg)](https://www.python.org/downloads) [![Qiskit Connector Quality Check](https://github.com/QComputingSoftware/pypi-qiskit-connector/actions/workflows/quality.yml/badge.svg)](https://github.com/QComputingSoftware/pypi-qiskit-connector) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.15349641.svg)](https://doi.org/10.5281/zenodo.15304310) [![Qiskit Connector Code Coverage Analysis](https://github.com/QComputingSoftware/pypi-qiskit-connector/raw/main/docs/badges/coverage.svg)](https://github.com/QComputingSoftware/pypi-qiskit-connector) [![Qiskit Connector Latest Release](https://github.com/QComputingSoftware/pypi-qiskit-connector/raw/main/docs/badges/release.svg)](https://github.com/QComputingSoftware/pypi-qiskit-connector/releases) [![PyPI Downloads](https://static.pepy.tech/badge/qiskit-connector)](https://pepy.tech/projects/qiskit-connector) [![License](https://github.com/QComputingSoftware/pypi-qiskit-connector/raw/main/docs/badges/license-badge.svg)](https://opensource.org/licenses/Apache-2.0) [![Downloads Monthly](https://github.com/QComputingSoftware/pypi-qiskit-connector/raw/main/docs/badges/monthly-downloads.svg)](https://pypi.org/project/qiskit-connector) [![Downloads Weekly](https://github.com/QComputingSoftware/pypi-qiskit-connector/raw/main/docs/badges/weekly-downloads.svg)](https://pypi.org/project/qiskit-connector) [![Downloads Daily](https://github.com/QComputingSoftware/pypi-qiskit-connector/raw/main/docs/badges/daily-downloads.svg)](https://pypi.org/project/qiskit-connector) \n \n\n**\ud83d\udda5\ufe0f Qiskit Connector\u00ae - Seamless Real-Time Connector for IBM Quantum Computing QPU**\n\nQiskit Connector\u00ae is quantum computing open-source SDK extension. The Qiskit Connector\u00ae transforms how quantum developers connect to IBM Quantum backends by automating every step of the authentication, plan detection, and backend selection process. Instead of writing extensive boilerplate setup code for each project, developers can now seamlessly authenticate, dynamically detect whether they are using an `Open` or `Paid` plan, and instantly access the optimal backend `QPU`resource which is least-busy using a single intuitive keyword: `backend`. The connector intelligently manages quantum computing plan environment variables and Qiskit runtime service configuration for sticky reusability of QPU resources from the backend, allowing quantum developers to streamline connection workflows and immediately focus on building, testing, and scaling quantum applications. \n<br><br>\nBy eliminating manual configurations and connection complexities, Qiskit Connector empowers developers to reduce onboarding time, minimize human error, and accelerate quantum solution delivery. The tool is especially valuable for production-grade quantum development where agility, repeatability, and secure backend access are critical. Whether working in research environments, building enterprise-grade quantum solutions, or designing novel quantum algorithms, developers can now concentrate on high-value tasks without being slowed down by infrastructure setup challenges.\n<br><br>\n\u269b\ufe0fThis package performs the following:\n- Loads environment variables from config file (e.g. `.env` if you are local) or load it remotely(depending on detection) to configure your IBM Quantum account plan and make the `backend` object available within your quantum application code for reuse in real-time.\n- Detects your active plan (Open, Standard, Premium, Dedicated) and sets up the correct channel/instance.\n- It has (`qiskit_smart`) to establish connectivity, then to verify QPU resources using (`qpu_verify`), and retrieve a ready-to-use backend using (`connector()`). Presents you with the least-busy backend QPU to run your quantum application code in realtime.\n\n###### \ud83e\udde9 Software built by \u00a92025 Dr. Jeffrey Chijioke-Uche, IBM Computer Scientist & Quantum Ambassador.\n---\n\n#### \ud83d\udccb Built-in classes & functions\n\nThese functions are available after you import the module:\n\n```python\nfrom qiskit_connector import QConnectorV2 as connector\nfrom qiskit_connector import QPlanV2 as plan\n```\n- **`connector()`**  \n  **Primary Integration Point:** Seamlessly initializes your IBM Quantum account, selects the optimal QPU (or the first available device for open/paid plans), and emits a clear diagnostics summary. It returns a fully configured `backend` object that you can immediately pass to Qiskit\u2019s sampler, estimator, transpiler, or any circuit execution API\u2014so you can focus on your quantum workflows rather than connection boilerplate.\n\n- **`plan()`**  \n  **Subscription Plan Resolver:** Automatically evaluates your environment configuration (via `.env` or system variables) to identify whether you\u2019re operating under the **Open Plan** or a **Paid Plan**. This guarantees that your code consistently targets the correct IBM Quantum service tier, eliminating manual plan management and minimizing configuration drift.\n\n---\n    \n#### \ud83d\udccc Changelog\n\n| Version   | Description                                                                                   | Updated Import Syntax                                                                 |\n|-----------|-----------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------|\n| <= v2.2.2    | Initial import approach using functional-style interface for all versions equal or below v2.2.2                                      | `from qiskit_connector import connector, plan_type`                                   |\n| >= v2.2.3    | Switched to class-based architecture with aliasing for enhanced flexibility and clarity for all versions equal or above 2.2.3      | `from qiskit_connector import QConnectorV2 as connector`<br>`from qiskit_connector import QPlanV2 as plan` |\n\n---\n\n#### \ud83d\udd27 Installation\n###### It is recommended that you use `pip` for installation - a common best practice.\n```bash\npip install qiskit-connector\n```\n\nThis will also pull in functionalities powered by Qiskit SDK:\n- `qiskit>=2.0.0`  \n  \n\nand any other Qiskit dependencies. (Qiskit 1.x is not supported).\n\n---\n\n#### \ud83d\uddc2\ufe0f Variable Setup\n\ud83d\udd10 [Security Practices](https://cloud.ibm.com/docs/security-compliance?topic=security-compliance-best-practices): Do not check-in to version control any `environment variable config file` or any variable setup file. The best security practice is to add it to your `.gitignore` or to accessible `vault`. During local development, create a file named `.env` at your project root and ensure it is named on your `.gitignore`. The connector will automatically load it. Use the template below as the content of your .env file or variable setup config file. Copy and paste it then supply the values.\n\n\n```dotenv\n\n# General Purpose:                                            (Required)\n#--------------------------------------------------------------------------------------\nIQP_API_TOKEN=\"<PROVIDE_YOUR_API_TOKEN>\"  \n\n\n# Channels:                                                   (Required)\n#--------------------------------------------------------------------------------------\nOPEN_PLAN_CHANNEL=\"<PROVIDE_YOUR_CHANNEL>\"  \nPAID_PLAN_CHANNEL=\"<PROVIDE PAID PLAN CHANNEL>\"  \n\n\n# API Url:                                                    (Optional)\n#--------------------------------------------------------------------------------------\nIQP_API_URL=<PROVIDE_YOUR_API_URL>  \nIQP_RUNTIME_API_URL=<PROVIDE_YOUR_RUNTIME_API_URL>  \n\n\n# Quantum Url:                                                (Optional)\n#---------------------------------------------------------------------------------------\nCLOUD_API_URL=\"<PROVIDE_YOUR_CLOUD_API_URL>\" \nQUANTUM_API_URL=\"<PROVIDE_YOUR_QUANTUM_API_URL>\"  \n\n\n# Instance:                                                  (Required)\n#---------------------------------------------------------------------------------------\nOPEN_PLAN_INSTANCE=\"<PROVIDE_YOUR_OPEN_PLAN_INSTANCE>\"  \nPAID_PLAN_INSTANCE=\"<PROVIDE_YOUR_PAID_PLAN_INSTANCE>\"  \n\n\n# Default (Open plan) - free                                   \n#---------------------------------------------------------------------------------------\nOPEN_PLAN_NAME=\"open\"\n\n\n# Optional (Upgrade) - Pay as you go                             \n#----------------------------------------------------------------------------------------\nPAYGO_PLAN_NAME=\"pay-as-you-go\"\n\n\n# Optional (Upgrade) - Flex                              \n#----------------------------------------------------------------------------------------\nFLEX_PLAN_NAME=\"flex\"\n\n\n# Optional (Upgrade) - Premium                                \n#----------------------------------------------------------------------------------------\nPREMIUM_PLAN_NAME=\"premium\"\n\n\n# Optional (Upgrade) - Dedicated                               \n#----------------------------------------------------------------------------------------\nDEDICATED_PLAN_NAME=\"dedicated\"\n\n\n# Switch \"on\" plan:                                       (Required)\n#----------------------------------------------------------------------------------------\nOPEN_PLAN=\"on\"        # [Default & switched on] [Free] \nPAYGO_PLAN=\"off\"\nFLEX_PLAN=\"off\"      \nPREMIUM_PLAN=\"off\"      \nDEDICATED_PLAN=\"off\"    \n```\n> **\u26a0\ufe0f Only one** of the plans can be set to **\"on\"** at a time.\n\n---\n\n\n\n\n#### \ud83d\udc64 Usage - With Qiskit 2.x Code Sample\n\n###### \ud83d\udce6 For Open or Paid Plans\n\n```python\n\n# After Qiskit Connector\u00ae pip install, Import Qiskit Connector\u00ae:\nfrom qiskit_connector import QConnectorV2 as connector\nfrom qiskit_connector import QPlanV2 as plan\n\n# Initialize Qiskit Connector\u00ae::\ncurrent = plan()\nbackend = connector()\n\n#-----------------------------------HOW TO USE QISKIT CONNECTOR--------------------------------\n\n\n# ------------------------------ QISKIT 2.x CODE SAMPLE ---------------------------------------\n#     This code sample is using the Qiskit Connector to run with a real quantum backend.\n###############################################################################################\n# \ud83d\udd0d This code sample demonstrates how to create a randomized circuit with depolarizing noise\n# \u2705 QuantumCircuit(2, 2) \u2014 matches 2-qubit base circuit\n# \u2705 Applies independent random Pauli gates per qubit before and after the base logic\n# \u2705 Uses remove_final_measurements() to cleanly insert logic into the composed circuit\n# \u2705 Re-applies measurements after twirling to preserve expected output\n################################################################################################\nfrom qiskit import QuantumCircuit, transpile\nfrom qiskit_ibm_runtime import SamplerV2 as Sampler, Session\n\n# Define entangled base circuit with superposition and CNOT entanglement\ndef base_circuit():\n    qc = QuantumCircuit(2, 2)\n    for q in range(2):\n        qc.h(q)\n        qc.rx(0.5, q)\n        qc.rz(1.0, q)\n        qc.s(q)\n        qc.t(q)\n        qc.h(q)\n    qc.cx(0, 1)\n    qc.measure([0, 1], [0, 1])\n    return qc\n\n# Create randomized circuits with depolarizing noise model\ndef randomize_circuit(base_qc, p):\n    qc = QuantumCircuit(2, 2)\n    # Apply randomized Pauli gates before and after the base circuit\n    # ... [pauli gate application code here] ...\n    return qc\n\n# Prepare circuits\nrand_range = 5\np = 0.1\nqc = base_circuit()\ncircuits = [randomize_circuit(qc, p) for _ in range(rand_range)]\n\n# Transpile and submit jobs\nqc_t = [transpile(c, backend=backend, optimization_level=3) for c in circuits[:rand_range]]\nif current == \"Open Plan\":\n    sampler = Sampler(mode=backend)\n    job = sampler.run(qc_t, shots=1)\nelif current == \"Paid Plan\":\n    with Session(backend=backend.name) as session:\n        sampler = Sampler(mode=session)\n        job = sampler.run(qc_t, shots=1)\n\n# Monitor job and retrieve results, then display histograms\n# ...\n```\n[See full code sample here](https://github.com/QComputingSoftware/pypi-qiskit-connector/tree/main/how-to-use)\n\n\n\n#### Output Sample\n```python\n\n==================================================================================\n\n   ____   ______                                  __\n  / __ \\ / ____/____   ____   ____   ___   _____ / /_ ____   _____\n / / / // /    / __ \\ / __ \\ / __ \\ / _ \\ / ___// __// __ \\ / ___/\n/ /_/ // /___ / /_/ // / / // / / //  __// /__ / /_ / /_/ // /\n\\___\\_\\____/ \\____//_/ /_//_/ /_/ \\___/ \\___/ \\__/ \\____//_/\n\n\ud83e\udde0 Qiskit Connector\u00ae for Quantum Backend Realtime Connection\n\n\u269b\ufe0f Connecting (Open Plan) to least-busy QPU...\n----------------------------------------------------------------------------------\n\u269b\ufe0f Connected [Open Plan] \u2192 Realtime Least Busy QPU:: [ibm_sherbrooke]\n- ibm_brisbane\n- ibm_sherbrooke\n- ibm_torino\n\n\ud83d\udda5\ufe0f Least Busy QPU Now: [ibm_sherbrooke]\n\ud83d\udda5\ufe0f Version: 2\n\ud83d\udda5\ufe0f Qubits Count: 127\n\ud83d\udda5\ufe0f Backend [ibm_sherbrooke] ready for use: \u2714\ufe0f Yes\n\ud83d\udda5\ufe0f Operational: Open Plan\n==================================================================================\n\n\u269b\ufe0f Getting (Open Plan) Least-busy QPU Processor Info...\n----------------------------------------------------------------------------------\n\n--- \ud83d\udd33  Processor Details for QConnector Least Busy Backend QPU: ibm_sherbrooke ---\n\ud83e\uddbe Processor Type: Eagle\n\ud83e\uddbe Processor Revision: r3\n\ud83e\uddbe Processor status: \ud83d\udfe2 Online\n       \n\ud83d\udfe2 Eagle Quantum Processor\n==================================================================================\n\n# ------------------------ your job result is below this line --------------------\n# ...\n```\n[See full code sample here](https://github.com/QComputingSoftware/pypi-qiskit-connector/tree/main/how-to-use)\n\n\n---\n####  \ud83d\udcdc Citation\n\nQiskit Connector software invention was inspired by IBM Research on Quantum Computing Qiskit Software, which led the authoring, design, development of Qiskit Connector based on the persistent research studies and tests carried out by  `Dr. Jeffrey Chijioke-Uche(IBM Quantum Ambassador & Research Scientist)` in the lab. This software is expected to continue to metamorphose with the help and work of existing quantum computing academic scholarly & peer reviewed research at different levels in the Information Technology industry. If you use Qiskit for Quantum computing, please cite this software as per the provided [BibTeX](https://github.com/QComputingSoftware/pypi-qiskit-connector/blob/main/CITATION.bib) file. Also, citation is available in the following formats: [Harvard](https://zenodo.org/records/15330579#citation), [APA](https://zenodo.org/records/15330579#citation), [MLA](https://zenodo.org/records/15330579#citation), [IEEE](https://zenodo.org/records/15330579#citation), [Chicago](https://zenodo.org/records/15330579#citation), & [Vancouver](https://zenodo.org/records/15330579#citation)\n\n---\n\n#### \ud83d\udcdc Software Author\nDr. Jeffrey Chijioke-Uche <br>\nIBM Computer Scientist <br>\nIBM Quantum Ambassador & Research Scientist <br>\nIEEE Senior Member (Computational Intelligence)\n\n---\n#### \ud83d\udcdc  Rights\nThe Quantum Computing Qiskit Connector is copyrighted and it is a proprietary software developed by Dr. Jeffrey Chijioke-Uche \u00a92025 - All Rights Reserved. The software is for enhancing development, usability, and workflows in IBM Quantum Computing systems by global users. This software is protected under copyright laws and applicable intellectual property statutes. Unauthorized reproduction, distribution, or derivative use of the software in part or whole is strictly prohibited without express written permission from the author. This software may be used under the terms outlined in the accompanying <b>licenses</b> by ([Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0) and [Creative Commons Attribution 4.0 international](https://creativecommons.org/licenses/by/4.0/legalcode)). Use of this software signifies your agreement to comply with the license terms and to attribute the original author when incorporating the package into your work or systems. For other question(s), please contact the maintainer directly through the official project repository or email channel provided on PyPI. All Rights Reserved.\n \n\n---\n\n#### \ud83d\udcdc Acknowledgment\nThe development of the Qiskit Connector has been made possible through the support, inspiration, and technical contributions of several leading institutions and communities. The software author would like to express deep gratitude to [IBM Research & IBM Quantum Ambassadors Group](https://research.ibm.com/quantum-computing) for the pioneering efforts in quantum computing and providing the infrastructure and ecosystem that fostered the development of this software. Their continued support has significantly accelerated progress in real-world quantum computing and quantum application development for cutting edge technology advancement.\n<br><br>\nAdditional appreciation is extended to the [IEEE Computational Intelligence](https://cis.ieee.org) Society for their thought leadership in intelligent systems, and to the  [Harvard Program for Research in Science and Engineering](https://www.harvard.edu/) for its role in shaping early research directions. The author also acknowledges [Walden University Research](https://academicguides.waldenu.edu/research-center) for providing a strong academic and methodological foundation throughout the software development lifecycle. These institutions have collectively influenced the innovation and rigor reflected in this project.\n\n---\n\n#### \ud83d\udcdc Licenses\n\nThis software uses these licenses for distribution:\n- [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0)\n- [Creative Commons Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/legalcode)\n\n",
    "bugtrack_url": null,
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    "summary": "Quantum Computing Qiskit Connector For Quantum Backend Use In Realtime",
    "version": "2.4.3",
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        "Software Publisher": "https://doi.org/10.5281/zenodo.15304310",
        "Source": "https://github.com/schijioke-uche/pypi-qiskit-connector",
        "Tracker": "https://github.com/schijioke-uche/pypi-qiskit-connector/issues"
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        " physical quantum computer",
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        " python wrapper for qiskit",
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