Metadata-Version: 2.4
Name: qiskit_noise_analysis
Version: 0.1.3
Summary: A qiskit based library to estimate resources and analyse noise in the quantum circuits.
Home-page: https://github.com/joshicoding/qiskit_noise_analysis
Author: Mohit Joshi
Author-email: joshimohit@bhu.ac.in
Project-URL: Bug Tracker, https://github.com/joshicoding/qiskit_noise_analysis/issues
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3.13
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.13
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: qiskit>=2.0.0
Requires-Dist: pandas>=2.2.3
Requires-Dist: matplotlib>=3.10.3
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license-file
Dynamic: project-url
Dynamic: requires-dist
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# Quantum Noise Analysis
**Note**
The project is still under development. Please raise any query or feature request directly to mail joshimohit@bhu.ac.in.

## Resource estimation with the package
```python
from qiskit_noise_analysis import resource_estimation

report = resource_estimation.get_estimation(
    circuits = [ circ1, circ2, ....], 
    basis_gates= ["id", "rz", "sx", "x", "cx"],
    circuit_names= ['circ1', 'circ2'])

```


### Implementation Example
```python
from qiskit_noise_analysis import resource_estimation

from qiskit import QuantumCircuit

qc1 = QuantumCircuit(4)
qc1.h([0,1,2,3])
qc1.cx(0,1)
qc1.t([1,2,3])

qc2 = QuantumCircuit(4)
qc2.t([0,1,2,3])
qc2.cx(0,1)

report = resource_estimation.get_estimation(circuits=[qc1, qc2], circuit_names =['qc1','qc2'])

```

You can also use resource_estimation.demo() to see the comparison of two random circuits.
