Quantum-Powered AI Knocking on the Enterprise Business Door
By fusing AI with quantum mathematics, it’s possible to deliver accurate, real-time insights, Christopher Savoie of Zapata AI tells PYMNTS.
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Looking ahead, Savoie emphasized the need for smaller, more tailored models that can be trained on domain-specific data to achieve better results. Quantum-enhanced AI, with its superior ability to generalize and model complex scenarios, offers a promising solution to this challenge.
“We’re not looking for one omniscient human to run an entire Fortune 100 company, and it’s the same with AI. You don’t want the CFO doing the engineer’s job, or the engineer doing marketing. … We tend to differentiate and specialize in human organizations, and that is where AI is going, too,” he explained.
“You want to orchestrate the ensembles. … We’re going to have ensembles of smaller, more capable models for specific tasks that then can interrelate with each other and communicate with each other and be used in concert with each other to get better business outcomes.”
[요약]
- 퀀텀 컴퓨팅 기반 생성형 AI 회사 Zapata에서 생성형 AI의 미래에 대해 논의
1) 기존과 차원이 다른 통계계산으로 정확하고 효율적인 시뮬레이션 가능
2) 특정 산업에 특화된 더 작고 보다 맞춤화된 형태의 AI가 서로 협업을 통해 시너지 효과를 낼 것
3) 해당 AI가 적합하게 사용되기 위해서 윤리 및 사회적 논의가 다각적으로 이뤄져야 할 것
- 여전히 해당 분야는 초기 단계로 더 많은 연구와 발전이 필요하나, 유망 분야로 보여짐
[생각]
- 퀀텀 컴퓨팅이 언젠가 가능하게 될 경우 AI 연산 파워와 속도가 급속도로 고도화 될 것으로 보임
- 인류는 이런 컴퓨터와 알고리즘을 감당할 수 있을지, 아니면 여태껏 그래왔듯이 별 무리 없이 공생할 것인지
- 향후 보편적 활용이 가능한 AI보다 다소 작지만 특화된 생성형 AI들이 그들만의 협업을 한다는 개념이 인상 깊었음
- 인간은 정말 뭘 하게 될까.....?
[추후 고려해볼만한 내용]
- 감정 없이 합리성이 고도화된 여러 AI들이 논리적 협의를 이룰때 인간보다 최적의 의사결정을 해낼 수 있을지?
- 똑똑한 기계 사이에서 인간의 역할은?
(참고) 퀀텀 컴퓨팅 현 기준 기술적 한계 - ChatGPT
The biggest technological hurdle in quantum computing currently is scalability and error correction, also known as fault tolerance. These challenges are intricately linked and represent the most significant barriers to developing fully functional, large-scale quantum computers.
- Scalability: Scaling quantum computers involves increasing the number of qubits (quantum bits) while maintaining the stability and coherence of the system. As the number of qubits increases, so does the potential computational power. However, managing and maintaining quantum coherence among an increasing number of qubits without significant errors is challenging. The physical systems that host qubits must be precisely controlled and shielded from any environmental interference that can cause decoherence.
- Error Correction and Fault Tolerance: Quantum bits are highly susceptible to errors due to decoherence and quantum noise. Quantum error correction is crucial for practical quantum computing, as it involves encoding quantum information in a way that errors can be detected and corrected. Developing efficient quantum error correction methods is essential for building reliable quantum computers that can perform complex calculations over extended periods without significant error rates.
These challenges are focal points of current quantum computing research and are critical for the transition from experimental quantum setups to commercially viable quantum computing solutions(QuEra, Tech Tour).