Monday, June 15, 2026

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FutureCanadian Startup Targets RSA Encryption With Quantum Machine 99% More Efficient
Quantum computing startup Nord Quantique announces the development of a new practical quantum computer. / Photo courtesy of Nord Quantique
Quantum computing startup Nord Quantique announces the development of a new practical quantum computer. / Photo courtesy of Nord Quantique

Nord Quantique, a quantum computing startup, has set an ambitious goal to create a practical quantum computer boasting over 1,000 logical qubits by 2031.

According to a recent report by TechRadar on Sunday, Nord Quantique is leveraging its proprietary “Tesseract code” technology to develop a quantum computer that minimizes physical space while achieving superior error correction capabilities. The company claims that its quantum computer will outperform existing high-performance computing (HPC) systems in terms of size, speed, and energy efficiency, potentially revolutionizing the HPC market.

Nord Quantique’s quantum computer design is remarkably compact, requiring only 20 square meters of space—a fraction of the 1,000 to 20,000 square meters needed for current platforms. The system has demonstrated impressive stability, maintaining the integrity of quantum information even after 32 error correction cycles. Dr. Yvonne Gao, a professor at the National University of Singapore, commended the approach, stating that the use of multi-mode Tesseract states for logical qubit encoding offers a promising solution to the challenge of error correction in quantum computing.

The company reports that its quantum computer can crack RSA-830 encryption in just one hour, consuming a mere 120 kWh of energy. This represents a staggering 99% reduction in energy use compared to existing HPC systems, which typically consume 280,000 kWh over a nine-day period for similar tasks.

Despite these promising advancements, experts caution that further validation is necessary before the practical implementation can be considered. Nord Quantique’s current approach employs a post-selection method that discards 12.6% of data during error correction, which could pose challenges for real-time operations. As a result, independent verification is crucial to substantiate the system’s energy efficiency and stability claims.

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