# iQore SDK (`iqore`)
Cloud-Injected Optimization for Quantum Circuits
Secure, high-performance enhancements for your Qiskit circuits — powered by iQore’s encrypted, cloud-native optimization engine.
---
## Overview
The iQore SDK is a plug-and-play circuit optimizer that upgrades any Qiskit circuit by injecting secure, cloud-hosted logic at runtime.
- Drop-in compatibility with Qiskit
- Secure cloud logic injection
- No local optimizer code
- No changes to your algorithm or hardware
---
## Key Features
- Encrypted Optimization Logic
All enhancement logic is delivered securely from the cloud, never exposed or downloaded.
- Qiskit-Ready
Seamlessly integrate with any `QuantumCircuit` — simulator or QPU.
- Smart Upgrade
Dynamically improves entanglement, depth, and gate timing using iQore’s proprietary methods.
- No Setup Overhead
Just save your token and call `optimize()`.
---
## Quick Start
### Install
```bash
pip install iqore
```
### Authenticate
```python
from iQore import iQoreRuntimeService
iQoreRuntimeService.save_account("your_unique_token_here")
```
### Optimize Your Circuit
```python
from qiskit import QuantumCircuit
from qiskit_aer import AerSimulator
from iQore import iQD
import numpy as np
backend = AerSimulator()
matrix = np.random.rand(4, 4)
qc = QuantumCircuit(4)
iQD.optimize(
qc,
qubit_count=4,
backend=backend,
matrix=matrix,
enable_iQD_dtc=True # Enables advanced tensor control
)
# User-defined logic comes after optimization
qc.cx(0, 1)
qc.measure_all()
```
Note: `iQD.optimize()` is non-destructive. You can append logic to the circuit after optimization.
---
## API Reference
### `iQD.optimize(qc, *, qubit_count, backend, matrix=None, enable_iQD_dtc=False)`
| Parameter | Type | Description |
|------------------|--------------------|-------------------------------------------------------------|
| `qc` | QuantumCircuit | Input circuit to optimize |
| `qubit_count` | int | Number of qubits involved |
| `backend` | str or Backend | Qiskit backend name or object |
| `matrix` | np.ndarray | Optional enhancement tuning matrix |
| `enable_iQD_dtc` | bool | Optional flag to enable Dynamic Tensor Controller mode |
---
## How It Works
1. The SDK authenticates using your saved token
2. It requests an encrypted optimization payload from iQore's secure backend
3. The logic is decrypted and executed in-memory
4. Your circuit is upgraded — without exposing proprietary logic or requiring code changes
No token = no optimization. Your workflows stay secure.
---
## Supported Environments
- Qiskit simulators (aer_simulator, statevector, etc.)
- IBM Quantum backends (Qiskit Runtime and legacy)
- Advanced workloads: QAOA, VQE, Grover, Clifford+T
- Research pipelines needing high fidelity and coherence
---
## Token Management
```python
iQoreRuntimeService.save_account(token: str, overwrite=False)
iQoreRuntimeService.get_token() -> str
iQoreRuntimeService.active_account() -> str
```
---
## Requirements
- Python >= 3.10
- Qiskit == 1.4.2
- Internet connection (for payload injection)
---
## Support
- Documentation: https://docs.iqore.com
- Email: team@iqore.com
- Website: https://iqore.com
---
## License and Terms of Service
By downloading and/or using the iQore SDK, you agree to the [iQore Terms of Service](https://www.iqore.com/terms-of-service).
This SDK is licensed under a proprietary license. Redistribution, reverse engineering, decompilation, sublicensing, or extraction of embedded logic is strictly prohibited without prior written consent from iQore.
Any unauthorized use, modification, or distribution of the SDK constitutes a violation of intellectual property law and may be subject to civil litigation, including but not limited to monetary damages under applicable U.S. and international statutes.
For enterprise licensing, commercial deployment, or legal inquiries, contact [team@iqore.com](mailto:team@iqore.com).
---
## About iQore
iQore pioneers secure, physics-aware quantum-classical optimization. Our SDK enables developers and researchers to extract higher fidelity, cleaner circuits, and smarter performance from today’s quantum systems — with zero compromise.
From Chaos to Coherence
Raw data
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"description": "# iQore SDK (`iqore`)\n\nCloud-Injected Optimization for Quantum Circuits\n\nSecure, high-performance enhancements for your Qiskit circuits \u2014 powered by iQore\u2019s encrypted, cloud-native optimization engine.\n\n---\n\n## Overview\n\nThe iQore SDK is a plug-and-play circuit optimizer that upgrades any Qiskit circuit by injecting secure, cloud-hosted logic at runtime.\n\n- Drop-in compatibility with Qiskit\n- Secure cloud logic injection\n- No local optimizer code\n- No changes to your algorithm or hardware\n\n---\n\n## Key Features\n\n- Encrypted Optimization Logic \n All enhancement logic is delivered securely from the cloud, never exposed or downloaded.\n\n- Qiskit-Ready \n Seamlessly integrate with any `QuantumCircuit` \u2014 simulator or QPU.\n\n- Smart Upgrade \n Dynamically improves entanglement, depth, and gate timing using iQore\u2019s proprietary methods.\n\n- No Setup Overhead \n Just save your token and call `optimize()`.\n\n---\n\n## Quick Start\n\n### Install\n\n```bash\npip install iqore\n```\n\n### Authenticate\n\n```python\nfrom iQore import iQoreRuntimeService\niQoreRuntimeService.save_account(\"your_unique_token_here\")\n```\n\n### Optimize Your Circuit\n\n```python\nfrom qiskit import QuantumCircuit\nfrom qiskit_aer import AerSimulator\nfrom iQore import iQD\nimport numpy as np\n\nbackend = AerSimulator()\nmatrix = np.random.rand(4, 4)\nqc = QuantumCircuit(4)\n\niQD.optimize(\n qc,\n qubit_count=4,\n backend=backend,\n matrix=matrix,\n enable_iQD_dtc=True # Enables advanced tensor control\n)\n\n# User-defined logic comes after optimization\nqc.cx(0, 1)\nqc.measure_all()\n```\n\nNote: `iQD.optimize()` is non-destructive. You can append logic to the circuit after optimization.\n\n---\n\n## API Reference\n\n### `iQD.optimize(qc, *, qubit_count, backend, matrix=None, enable_iQD_dtc=False)`\n\n| Parameter | Type | Description |\n|------------------|--------------------|-------------------------------------------------------------|\n| `qc` | QuantumCircuit | Input circuit to optimize |\n| `qubit_count` | int | Number of qubits involved |\n| `backend` | str or Backend | Qiskit backend name or object |\n| `matrix` | np.ndarray | Optional enhancement tuning matrix |\n| `enable_iQD_dtc` | bool | Optional flag to enable Dynamic Tensor Controller mode |\n\n---\n\n## How It Works\n\n1. The SDK authenticates using your saved token\n2. It requests an encrypted optimization payload from iQore's secure backend\n3. The logic is decrypted and executed in-memory\n4. Your circuit is upgraded \u2014 without exposing proprietary logic or requiring code changes\n\nNo token = no optimization. Your workflows stay secure.\n\n---\n\n## Supported Environments\n\n- Qiskit simulators (aer_simulator, statevector, etc.)\n- IBM Quantum backends (Qiskit Runtime and legacy)\n- Advanced workloads: QAOA, VQE, Grover, Clifford+T\n- Research pipelines needing high fidelity and coherence\n\n---\n\n## Token Management\n\n```python\niQoreRuntimeService.save_account(token: str, overwrite=False)\niQoreRuntimeService.get_token() -> str\niQoreRuntimeService.active_account() -> str\n```\n\n---\n\n## Requirements\n\n- Python >= 3.10\n- Qiskit == 1.4.2\n- Internet connection (for payload injection)\n\n---\n\n## Support\n\n- Documentation: https://docs.iqore.com\n- Email: team@iqore.com\n- Website: https://iqore.com\n\n---\n\n## License and Terms of Service\n\nBy downloading and/or using the iQore SDK, you agree to the [iQore Terms of Service](https://www.iqore.com/terms-of-service).\n\nThis SDK is licensed under a proprietary license. Redistribution, reverse engineering, decompilation, sublicensing, or extraction of embedded logic is strictly prohibited without prior written consent from iQore.\n\nAny unauthorized use, modification, or distribution of the SDK constitutes a violation of intellectual property law and may be subject to civil litigation, including but not limited to monetary damages under applicable U.S. and international statutes.\n\nFor enterprise licensing, commercial deployment, or legal inquiries, contact [team@iqore.com](mailto:team@iqore.com).\n\n---\n\n## About iQore\n\niQore pioneers secure, physics-aware quantum-classical optimization. Our SDK enables developers and researchers to extract higher fidelity, cleaner circuits, and smarter performance from today\u2019s quantum systems \u2014 with zero compromise.\n\nFrom Chaos to Coherence\n",
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