EDTECH: What role should CIOs play in helping their institutions plan for the future?
ZHOU: As technologists, it’s our job to learn the cutting edge. The cutting edge isn’t always beneficial, but we have the responsibility to identify emerging technologies we can bring to our institutions to drive the best outcomes. That’s where CIO 3.0 plays a big role — that may be AI, quantum or other things, but that’s where CIOs can be a transformative force.
EDTECH: How have you approached user satisfaction at Texas Tech?
ZHOU: One of the things that defines the existence of technology is the customer who can benefit from what we bring in. Being customer-centric is critical and makes our work more meaningful every day. I’m fortunate to have a good team that’s focused on customer satisfaction. What I bring to Texas Tech is to accelerate and expand that culture and create new initiatives to put customer-centricity on steroids. It’s not a one-off activity, but an intentional system including policy, processes and KPIs like the net promoter score to methodically drive improvements. I joined Texas Tech in September 2024, and over the next year, we more than doubled our faculty satisfaction score.
EDTECH: As someone who’s been focused on quantum computing for some time, why is now the time to advance this field?
ZHOU: When I started with IBM, we were at a 130-nanometer semiconductor processing node, and today, the semiconductor manufacturing technology has moved to about 2 nanometers. It’s amazingly small, and it raises the question, what is the next technology that can allow us to continue driving the evolution? Quantum potentially is what would continue to drive that upscaling of processing power.
DISCOVER: Universities leverage quantum computing to advance research.
The other angle is application. We are trying to solve a lot of problems today, such as drug development for cancer and diabetes. Computing modeling can speed up drug discovery. However, taking the modeling of penicillin as an example, it is an intractable problem for classical computers. With quantum computing, it becomes possible. The hope is that quantum will open the door for many new applications in health, financial management, scientific discoveries and more. I think that’s going to be critically important for the future of the human race.
Third, the power consumption for quantum computing is very low, so that gives us a different path to expand computational power without creating a huge dependency on electricity.
EDTECH: What led you to create Texas Tech’s first quantum computing course?
ZHOU: Quantum computing developers need three areas of knowledge to be productive: quantum physics, linear algebra and programming. At Texas Tech, we’ve been teaching our students each of these for years, but we didn’t have a course that put all three together in a cohesive way. That’s the opportunity I identified when I came to Texas Tech, and that’s the course I created. At the end of the class, students do a capstone project, and the results were fantastic. For example, our students developed quantum AI models to detect breast cancer with over 90% accuracy.
