President Donald Trump signed two executive orders on Monday directing the United States to develop a large-scale, commercially relevant quantum computer [1, 2].
The move signals a strategic push to ensure the U.S. maintains leadership in emerging quantum technologies. Such machines possess the potential to solve problems that are currently impossible for classical computers to handle, impacting fields from cryptography to materials science.
The orders, signed in the Oval Office, establish a specific timeline for the project [3]. The administration has set 2028 as the target year for the completion of a commercially relevant quantum computer [1]. This deadline places a high premium on rapid development and scaling of the technology.
John Preskill, a professor of theoretical physics at the California Institute of Technology, said the orders have implications [4]. Preskill is a leading figure in the field and has previously defined the benchmarks for quantum advantage.
The directive emphasizes the need for a machine that is not merely a laboratory prototype but one capable of commercial application [1]. By accelerating the development process, the U.S. aims to secure an economic and security advantage over global competitors who are pursuing similar quantum capabilities.
While the specific funding mechanisms for the two orders were not detailed in the initial announcements, the focus remains on the 2028 goal [1, 2]. The initiative seeks to bridge the gap between theoretical physics and industrial utility, a transition that has historically been slow in the quantum sector.
“The administration has set 2028 as the target year for the completion of a commercially relevant quantum computer.”
The establishment of a hard deadline for commercial quantum viability suggests a shift from academic exploration to a state-driven industrial race. If the U.S. achieves this goal by 2028, it could fundamentally disrupt global encryption standards and accelerate the discovery of new pharmaceuticals, creating a significant geopolitical and economic moat.
