Today I finalized a distributed system I’ve been building: a Quantum Control Plane.
Main focus: system integrity, not feature expansion.
Key improvements:
- enforced idempotent job execution (row-level locking, no double runs)
- fixed queue processing guarantees (ack correctness + recovery)
- ensured end-to-end consistency across API, worker, and storage
- aligned all clients (SDK, CLI, UI) with backend capabilities
- removed misleading or incomplete APIs
Also cleaned up developer experience:
→ full local environment runs with a single command
→ no manual setup, no hidden steps
Validated the system using quantum algorithms:
- Bell / GHZ (entanglement)
- Grover (probability amplification)
- Deutsch–Jozsa (function classification)
The interesting part wasn’t building features — it was making sure everything behaves correctly under real execution conditions.
That’s where most complexity lives.
https://github.com/mareksuchodolski12-hash/kwantowy
#distributedsystems #backendengineering #quantumcomputing
Main focus: system integrity, not feature expansion.
Key improvements:
- enforced idempotent job execution (row-level locking, no double runs) - fixed queue processing guarantees (ack correctness + recovery) - ensured end-to-end consistency across API, worker, and storage - aligned all clients (SDK, CLI, UI) with backend capabilities - removed misleading or incomplete APIs
Also cleaned up developer experience: → full local environment runs with a single command → no manual setup, no hidden steps
Validated the system using quantum algorithms:
- Bell / GHZ (entanglement) - Grover (probability amplification) - Deutsch–Jozsa (function classification)
The interesting part wasn’t building features — it was making sure everything behaves correctly under real execution conditions.
That’s where most complexity lives. https://github.com/mareksuchodolski12-hash/kwantowy
#distributedsystems #backendengineering #quantumcomputing