Pre-release
This release is a pre-release and may not be stable for production use.
Qubitry - Quantum Software Platform
Qubitry is a Rust-native, batch-first, capability-aware quantum software platform designed to address performance bottlenecks in current scripting-centric quantum ecosystems.
Key Differentiators
- Batch-First Execution: Optimised for repeated variational workloads (VQE, QAOA, parameter sweeps)
- Capability-Aware Planning: Explicit backend descriptors and structured compatibility negotiation
- Explainable Compilation: Transparent planning decisions and optimisation
traces via
TransformLog - Rust-Native Core: Performance-focused implementation with memory discipline and SIMD/GPU acceleration
- Neutral Agent Model: The
qubitry-agentdaemon runs on any machine (laptop, VPS, GPU server) with no cloud lock-in
Status
The Qubitry Python SDK is built and tested. The initial PyPI release is being prepared.
- Current phase: Late Phase 2 / Early Phase 3
- Test count: 1,969+ test functions across all crates
- Hardware validated: Multi-GPU (NVIDIA GH200) on Isambard-AI
Next Steps
Visit qubitry.ai to:
- Join the early-access programme
- View architecture documentation
- Check release announcements
License
Proprietary. Copyright © 2026 Faqtor Ltd. All rights reserved.
Release files for qubitry 0.0.1a1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| qubitry-0.0.1a1.tar.gz | 3.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| qubitry-0.0.1a1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.8 kB
Release files / qubitry-0.0.1a1.tar.gz
| Download URL | qubitry-0.0.1a1.tar.gz |
|---|---|
| Size | 3.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/7.0.0 CPython/3.12.3
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Release files / qubitry-0.0.1a1-py3-none-any.whl
| Download URL | qubitry-0.0.1a1-py3-none-any.whl |
|---|---|
| Size | 3.7 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.3
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