Quantum computing leaders urge responsible development, citing AI lessons

Leaders in quantum computing are drawing lessons from the AI industry's rapid advancement and lagging governance to advocate for responsible development. Experts suggest requiring societal impact ledgers alongside technical results, prioritizing hardware-level error detection, and embedding ethical boundaries into the foundational architecture. They also emphasize measuring quantum preparedness over mere performance and fostering early collaboration between industry, academia, and government to establish standards and risk frameworks before the technology becomes too powerful to control. AI

IMPACT Establishes a framework for responsible AI development by drawing parallels with quantum computing's future governance needs.

RANK_REASON The article discusses lessons learned from AI for the responsible development of quantum computing, featuring expert opinions and recommendations.

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• Forbes Technology Council
• Jagadish Gokavarapu
• Mahendran Chinnaiah
• Mohan Shekar
• Nirmal Jingar
• Pramod Kumar
• Pravir Malik
• QIQuantum
• QuantLase Research & Development Center
• quantum computing
• SAP
• Wayfair
• Wissen Infotech
• AI

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