# Quantinuum Quantum Error Correction Fidelity Hits 99.9995%

> Quantinuum's quantum computer achieves 99.9995% error correction fidelity with 5 errors per million operations.
- Title: Quantinuum Quantum Error Correction Fidelity Hits 99.9995%
- Summary: Quantinuum's quantum computer achieves 99.9995% error correction fidelity with 5 errors per million operations. Quantinuum's Helios quantum computer reached…
- Keywords: quantinuum, helios, quantum error correction, logical fidelity, ion trap, google quantum ai, apollo system, quantum computing, finance, markets, Quantum, Error
- Source: BigGo Finance — https://finance.biggo.com/news/5fda11d4-2aab-49e7-be8f-4bb93430815c
- Author: BigGo Finance
- Published: 2026-10-20T17:25:19+00:00
- Read time: 1 min
- Topics: quantinuum, helios, quantum error correction, logical fidelity, ion trap, google quantum ai, apollo system, quantum computing, finance, markets
## Quantinuum Helios Test
Quantinuum's commercial ion-trap quantum computer Helios achieved 99.9995% logical fidelity in error-correction testing.
## Error Rate Improvement
The result shows 5 errors per million operations, a 10-fold improvement over Quantinuum's September record.
## Comparison to Google
This is roughly 100 times lower than Google Quantum AI's best publicly disclosed superconducting result.
## Code Distance Effect
Each increase in code distance reduced logical errors by about 12 times, showing exponential improvement.
## CEO Statement
CEO Rajeeb Hazra said the company has the architecture to achieve universal fault tolerance by 2029.
## Industry Impact
Experts say the result eliminates a core technical risk in quantum computing development.
## Financial Challenge
Quantinuum lost $65.4 million on $8 million in revenue in the latest quarter.
## Apollo Roadmap
The Apollo system, a fault-tolerant quantum computer, is scheduled for launch in 2029.
## Key takeaway

Quantinuum's Helios quantum computer reached 99.9995% logical fidelity, showing 100x better error correction than Google's superconducting systems.