Built a quantum software optimization layer and validated it on real IBM Quantum hardware (up to 152 qubits)
Hi everyone,
Over the past several months, I've been building Quantum Knife OS, a proprietary software layer designed to improve execution quality on today's noisy quantum hardware.
This week I completed another round of validation on real IBM Quantum hardware (IBM Fez, IBM Kingston, and IBM Marrakesh).
Some results from the latest validation:
- Executed successfully on real IBM Quantum hardware
- Tested on benchmark scales up to 152 qubits
- Up to 8.14× higher measured correlation than the baseline implementation on the 98-qubit benchmark
- Approximately 12× higher measured correlation at 16 qubits
- Strong retained correlation across the evaluated benchmark suite
- Achieved entirely through software, without modifying the underlying quantum hardware
The motivation behind this project is simple.
Today's quantum computers are limited by hardware noise, topology constraints, and execution quality. Rather than designing new hardware, I'm exploring how much improvement can be achieved through a software optimization layer.
To protect my intellectual property, I'm not publishing the proprietary mathematics, optimization algorithms, or implementation details at this stage. However, I am sharing:
- IBM Quantum hardware validation reports
- IBM execution screenshots
- Raw IBM job data
- Benchmark comparisons
- Performance summaries
I'm interested in technical feedback on the validation methodology, benchmarking approach, and presentation of the results.
If anyone here works in quantum computing, quantum software, or quantum compiler optimization, I'd genuinely appreciate your thoughts and discussion.
This is the first public milestone of the project, and there's still a lot more work ahead.
Thanks for reading.
