WASHINGTON—Yesterday, the Subcommittee on Cybersecurity, Information Technology, and Government Innovation held a hearing titled “Preparing for the Quantum Age: When Cryptography Breaks.” During the hearing members emphasized the United States has an obligation to compete for technological dominance and must update cybersecurity protocols to maintain its competitive edge. Members emphasized the federal government should modernize federal IT systems and update cybersecurity protocols to protect Americans’ data from potential hacks and breaches from hostile nations like China.
Key Takeaways:
The United States is competing for technological dominance in many domains, including quantum computing and artificial intelligence, and must continue innovating to maintain its lead.
Quantum computing will significantly impact everyday technology and cybersecurity worldwide as nations develop the next generation of computers.
The federal government needs to make more progress toward modernizing federal IT systems and updating cybersecurity protocols.
Member Highlights:
Subcommittee Chairwoman Mace inquired about China’s quantum computing and artificial intelligence capabilities compared to the United States and the threat it creates.
Subcommittee Chairwoman Mace: “How far behind do you think China is from the U.S. on AI?”
Mr. Mandich: “I think it’s another situation where I do believe that just, again, having observed them for so long, they have access to everything that we’ve every done in all of our companies. All of our companies have been penetrated as far as we know. Many of their employees are in China. In many cases, those employees actually physically work from remote locations in Chinese intelligence agencies, not even in the private sector. So I do feel that because they’re so quiet about this, they’re being very secretive about what they’re doing. We don’t even know the names of the quantum companies in China. There’s only a couple of them that are public, the rest of them are completely unknown. We’re likely going to experience a DeepSeek moment in quantum computing. There was no DeepSeek before ChatGPT 3, that came up afterwards, and that came up very quickly and that didn’t happen from fundamental research. It came from data theft and IP monetization.”
Rep. Eli Crane (R-Ariz.) expressed concern about the connection between Chinese international students at American universities and the increasing technological competition between China and the U.S.
Rep. Crane: “[Mr. Mandich], you said you worked in the intelligence field for a long time? Does it concern you that universities like Brown and others allow students to come here—sometimes they come here and say that they’re [going to] start an English program—and then they work with maybe a sympathetic professor who shifts them into something like nuclear engineering or quantum computing, and then they end up competing with the United States?”
Mr. Mandich: “Well, you know, we know that China floods the United States with students. That’s their frontline collection platforms. It floods not just the university system, but almost every company you can think of with collectors. So, we need to do a much better job of limiting that because we’ve effectively trained their entire quantum industry here in the United States. Very little of that happened domestically in China. So, we have to do something about it, but we also need more Americans to get into these fields, and get out of social media and TikTok, that we get to be the majority in these programs and not the minority.”
Rep. John McGuire (R-Va.) asked about areas of U.S. quantum innovation most at risk of being overtaken by foreign adversaries.
Rep. McGuire: “So, Dr. Crowder, what areas of U.S. quantum innovation are most at risk of being overtaken by a foreign adversary?”
Dr. Crowder: “I think, there’s again, there’s two pieces of it. One of them is building the best quantum computers on the planet. Maybe three things. Based on public data, we think we have a lead over any place else in the world today, but that’s only based on public data. The second area is in the algorithms and applications. And right now, I would say, we’re seeing a little bit more investment by other governments than by the U.S. government and focusing on, you know, really the application research. We tend to wait until the computers are large enough to actually solve the mission before we begin the application research for the mission, if that makes sense.”
Click here to watch the hearing.