Bob Sutor

• Can Quantum Speed Up AI Algorithms? 
• What are the practical constraints and challenges of building quantum AI hardware? 
• How can quantum and classical AI models be combined effectively? 
• As quantum AI advances, what ethical and security implications should be considered? 
• How accessible will quantum AI hardware be for researchers and businesses? 
• Ultimately, what real-world problems can quantum AI solve better than classical AI approaches? 

• How is Quantum sensing actually showing real world success stories? 
• How are sensing technologies being used to advance enterprise productivity? 
• How will advances in photonic devices and photonic integrated circuits will impact the quantum industry and fuel future advancement? 
• Is the technology there yet?  

On May 25, 1961, US President John F. Kennedy announced the goal of sending Americans to the moon by the end of the decade. Eight years later, on July 20, 1969, Neil Armstrong and Buzz Aldrin walked on the moon.

In making his initial announcement before a Joint Session of Congress, Kennedy stated:

I believe we possess all the resources and talents necessary. But the facts of the matter are that we have never made the national decisions or marshaled the national resources required for such leadership. We have never specified long-range goals on an urgent time schedule, or managed our resources and our time so as to insure their fulfillment.

We need to do the same for quantum computing, and we need to do it together with international parties such as those in the AUKUS partnership.

The moon program had three development phases: Mercury, Gemini, and then finally, Apollo itself. The phases overlapped, and each had specific goals for innovation that would lead to the final success. If our goal is to have quantum computing systems with Practical Quantum Advantage, systems capable of solving hard problems of great importance to society, we must structure our quantum computing program in the same way. Instead, we continue to see public and private investments focused on the early parts of the very first stage. Put in space terms, we have dozens of companies developing small engines for the Mercury Redstone rocket. Many of these will fail. Even worse, they are not spending the time, money, and intellectual resources on the technology we will need later in the program.

In this talk, I will outline the phases and steps necessary for achieving a "quantum computing moon landing." It's not a moonshot, it's a plan for success among government agencies and private companies.