QuoNic Banner

QuoNic

Quantum programming, as simple as writing Python.

No QuantumCircuit to learn, no backend to understand, no manual measure.
If you can write Python, you can write quantum programs.

The Problem

Quantum programming today is unnecessarily complex. Writing a simple Bell state in Qiskit requires 10+ lines, understanding circuit objects, backend selection, and manual measurement. Switching frameworks means rewriting everything.

Too Many Concepts

QuantumCircuit, backend, transpile, measure_all — 8+ new concepts before writing a single gate.

Framework Lock-in

Code written for Qiskit can't run on Cirq. Switching frameworks means rewriting everything.

No Smart Defaults

Choosing the wrong simulation method can be 1000x slower. Users shouldn't need to know internals.

The Solution

QuoNic abstracts away the complexity. Three lines of code, any backend, any hardware.

QuoNic Terminal Preview

from quonic import qgate, qshow
from quonic.gates import H, CX

qgate(H, 0)
qgate(CX, 0, 1)
qshow()

pip install quonic

Features

Feature	Description
3-line syntax	`qgate` + `qshow` — that's it
12+ backends	One argument: `qshow(backend='qiskit')`
77 algorithms	Grover, Shor, VQE, QAOA, QFT, error correction, quantum ML
Smart scheduler	Auto-selects fastest method (statevector / stabilizer / MPS / density matrix)
GPU acceleration	`qshow(backend='gpu')` — 10x speedup
Real hardware	Origin Quantum, AWS Braket, Quantum Inspire verified
Noise simulation	Depolarizing, bit-flip, phase-flip, decoherence
Error mitigation	ZNE, readout calibration
23 visualizations	Circuit diagrams, Bloch sphere, histograms

Tech Stack

Component	Technology	Description
Core	Python 3.9+	IR, scheduler, compiler, noise models
Backends	Qiskit · Cirq · Qulacs · TensorCircuit · CUDA-Q · MindQuantum · QPanda3	12+ quantum backends
GPU	CuPy · Qulacs GPU · CUDA-Q	GPU-accelerated simulation
Hardware	Origin Quantum · AWS Braket · Quantum Inspire	Real quantum hardware
Visualization	Matplotlib	23 chart types, lazy-loaded

Real Hardware

Platform	Device	Status
Origin Quantum	WK_C180	✅ Verified
AWS Braket	Rigetti Cepheus-1-108Q	✅ Verified
Quantum Inspire	Tuna-9 / Tuna-17	✅ Verified

qshow(backend='qpanda', device='WK_C180')
qshow(backend='qi', device='tuna9')

Algorithms

from quonic.algorithms import grover, vqe, qft, qaoa_maxcut

grover("11", 2)                    # Search
vqe(hamiltonian, 2)                # Chemistry
qft(n_qubits=4)                    # Fourier Transform
qaoa_maxcut(edges, n_qubits=3)     # Optimization

Domain	Algorithms
Foundational	QFT, Deutsch-Jozsa, Bernstein-Vazirani, Simon, QPE
Search & Optimization	Grover, QAOA (MaxCut/TSP/MIS/Knapsack), quantum annealing
Chemistry	VQE, Hamiltonian simulation, Trotter, Jordan-Wigner
Machine Learning	QNN, QSVM, QGAN, QCNN, QGNN, QPCA, QRL
Error Correction	Bit/phase flip, Shor code, Steane code, surface code, color code
Communication	Teleportation, BB84, E91, superdense coding

Roadmap

Core API: qgate, qshow, reset — minimal syntax
12+ backends: Qiskit, Cirq, Qulacs, TensorCircuit, CUDA-Q, MindQuantum, QPanda3
77 algorithm templates: From Grover to quantum ML
Smart scheduler: Auto-select fastest simulation method
GPU acceleration: CuPy, Qulacs GPU, CUDA-Q
Real hardware: Origin Quantum, AWS Braket, Quantum Inspire
Noise simulation: Depolarizing, bit-flip, phase-flip, decoherence
Error mitigation: ZNE, readout calibration
Visualization: 23 chart types with Matplotlib
Documentation: 92 examples, bilingual (EN/ZH)
More backends: IonQ, Rigetti, Xanadu, QuEra
Quantum networking: Multi-node quantum communication
Fault-tolerant computing: Logical qubit operations

Docs

Quick Start — 5 minutes
Examples — 92 examples, bilingual
API Reference — all modules
Tutorials — step-by-step guides

Contributing

Fork → branch → PR.

See CONTRIBUTING.md for setup and code style.

License

Apache 2.0 — friendly to commercial use, with patent protection.

_{Built with ❤️ by Lee LapYuen · 中文文档}

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

quonic-0.14.1.tar.gz (473.5 kB view details)

Uploaded Sep 4, 2026 Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

quonic-0.14.1-py3-none-any.whl (504.6 kB view details)

Uploaded Sep 4, 2026 Python 3

File details

Details for the file quonic-0.14.1.tar.gz.

File metadata

Download URL: quonic-0.14.1.tar.gz
Upload date: Sep 4, 2026
Size: 473.5 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for quonic-0.14.1.tar.gz
Algorithm	Hash digest
SHA256	`2cf491929af3146c7b1483094f57a4e5f0baf7bc947175e1df16f85745d67e1a`
MD5	`b35b8bbb7edb14432a830a5c169d715c`
BLAKE2b-256	`c4a8f2210572015d9d77893e198d8bc5dce79bf935e4eebf23ed2dde492b7f11`

See more details on using hashes here.

File details

Details for the file quonic-0.14.1-py3-none-any.whl.

File metadata

Download URL: quonic-0.14.1-py3-none-any.whl
Upload date: Sep 4, 2026
Size: 504.6 kB
Tags: Python 3
Uploaded using Trusted Publishing? No
Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for quonic-0.14.1-py3-none-any.whl
Algorithm	Hash digest
SHA256	`76eb93a245fb548771c7f739e13fe3ab7031cb7ad7531aea427ffeeb9119b7b6`
MD5	`d7a1f48a3e89ca7a689c0447a6eaa720`
BLAKE2b-256	`1d8dc940cfbf63647225c0788b65af03cc619a3f5dee088dd02e5346d8607c9d`