quantum-computing

I achieved 97.8% average error recovery on IBM Quantum Torino hardware using classical post-processing. No calibration, no ancilla qubits, no hardware mods. Paper and data inside.

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⚡ Quantum Brief

An independent researcher achieved 97.8% average error recovery on IBM’s Torino quantum processor using a novel classical post-processing technique, requiring no hardware modifications or ancilla qubits. The method treats quantum decoherence as a diffusion process on measurement distributions, reversing errors via Richardson-Lucy deconvolution with self-calibrating asymmetric noise estimation—eliminating the need for calibration circuits. Experimental results on real hardware (20,000 shots per circuit) showed near-perfect recovery: 100% for 4-qubit GHZ states, 99.8% for 12-qubit GHZ, and 99.6% for 6-qubit Bell pairs, with 87.6% for Bernstein-Vazirani. The approach runs in under a second on a laptop, self-calibrating from measurement data alone, offering a lightweight alternative to resource-intensive error correction methods. A full paper detailing the theory, math, and results is available, with a patent pending; the researcher seeks peer feedback and arXiv endorsement to advance the technique.

I achieved 97.8% average error recovery on IBM Quantum Torino hardware using classical post-processing. No calibration, no ancilla qubits, no hardware mods. Paper and data inside.

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I'm an independent researcher and I've developed a new approach to quantum error mitigation. The core idea: quantum decoherence acts as a diffusion process on measurement probability distributions, and you can reverse it using Richardson-Lucy deconvolution with self-calibrating asymmetric noise estimation. Results on IBM Quantum Torino (real hardware, 20,000 shots per circuit): GHZ 4 qubits: 100% recovery GHZ 8 qubits: 99.7% recovery GHZ 12 qubits: 99.8% recovery W-state 3 qubits: 99.8% recovery Bernstein-Vazirani 5 qubits: 87.6% recovery 3 Bell pairs 6 qubits: 99.6% recovery Average: 97.8% fidelity recovery across all circuits. The method self-calibrates from measurement data alone. Zero calibration circuits. Zero ancilla qubits. Runs in under 1 second on a laptop. Full paper with theory, math, and all experimental results: https://zenodo.org/records/18724718 Patent pending. Happy to answer questions and discuss. Also looking for an arXiv quant-ph endorsement if anyone is willing. Open to feedback and criticism. I want to learn as much as I can from this community. submitted by /u/nicazecenzo [link] [comments]

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I achieved 97.8% average error recovery on IBM Quantum Torino hardware using classical post-processing. No calibration, no ancilla qubits, no hardware mods. Paper and data inside.

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