Useful Quantum Computing Is Inevitable And Increasingly Imminent Mit

AI can help discover new materials, but we’ll need quantum computers to really move the needle. On January 8, Nvidia CEO Jensen Huang jolted the stock market by saying that practical quantum computing is still 15 to 30 years away, at the same time suggesting those computers will need Nvidia... However, history shows that brilliant people are not immune to making mistakes. Huang’s predictions miss the mark, both on the timeline for useful quantum computing and on the role his company’s technology will play in that future. I’ve been closely following developments in quantum computing as an investor, and it’s clear to me that it is rapidly converging on utility. Last year, Google’s Willow device demonstrated that there is a promising pathway to scaling up to bigger and bigger computers.

It showed that errors can be reduced exponentially as the number of quantum bits, or qubits, increases. It also ran a benchmark test in under five minutes that would take one of today’s fastest supercomputers 10 septillion years. While too small to be commercially useful with known algorithms, Willow shows that quantum supremacy (executing a task that is effectively impossible for any classical computer to handle in a reasonable amount of time)... For example, PsiQuantum, a startup my company is invested in, is set to break ground on two quantum computers that will enter commercial service before the end of this decade. The plan is for each one to be 10 thousand times the size of Willow, big enough to tackle important questions about materials, drugs, and the quantum aspects of nature. These computers will not use GPUs to implement error correction.

Rather, they will have custom hardware, operating at speeds that would be impossible with Nvidia hardware. While others have focused on hardware and software to build quantum, South Carolina's focus is on peopleware. We cultivate quantum-ready workers through hands-on training opportunities, curriculum development, and more. We forge lasting partnerships with key players in healthcare, finance, education, and beyond, using the power of quantum technology to achieve their goals. We support real-world quantum applications for entrepreneurs, colleges, and universities, building breakthroughs across industries. AI can help discover new materials, but we’ll need quantum computers to really move the needle

On January 8, Nvidia CEO Jensen Huang jolted the stock market by saying that practical quantum computing is still 15 to 30 years away, at the same time suggesting those computers will need Nvidia... However, history shows that brilliant people are not immune to making mistakes. Huang’s predictions miss the mark, both on the timeline for useful quantum computing and on the role his company’s technology will play in that future. I’ve been closely following developments in quantum computing as an investor, and it’s clear to me that it is rapidly converging on utility. Last year, Google’s Willow device demonstrated that there is a promising pathway to scaling up to bigger and bigger computers. It showed that errors can be reduced exponentially as the number of quantum bits, or qubits, increases.

It also ran a benchmark test in under five minutes that would take one of today’s fastest supercomputers 10 septillion years. While too small to be commercially useful with known algorithms, Willow shows that quantum supremacy (executing a task that is effectively impossible for any classical computer to handle in a reasonable amount of time)... For example, PsiQuantum, a startup my company is invested in, is set to break ground on two quantum computers that will enter commercial service before the end of this decade. The plan is for each one to be 10 thousand times the size of Willow, big enough to tackle important questions about materials, drugs, and the quantum aspects of nature. These computers will not use GPUs to implement error correction. Rather, they will have custom hardware, operating at speeds that would be impossible with Nvidia hardware.

MIT physicists say these quasiparticles may explain how superconductivity and magnetism can coexist in certain materials. Nineteen-year-old Freesia Gaul built a VR prototype thanks to MIT OpenCourseWare classes that provided “a solid foundation of knowledge and problem-solving abilities.” Quantum chemist and School of Science Dean’s Postdoctoral Fellow Ernest Opoku is working on computational methods to study how electrons behave. MIT.nano cleanroom complex named after Robert Noyce PhD ’53 at the 2025 Nano Summit. The MIT Quantum Initiative is taking shape, leveraging quantum breakthroughs to drive the future of scientific and technological progress.

People Also Search

• Useful quantum computing is inevitable—and increasingly imminent | MIT ...
• Useful quantum computing is inevitable—and increasingly imminent
• Useful quantum computing is inevitable—and increasingly imminent [MIT ...
• Useful Quantum Computing is Necessary, Inevitable... And Might be ...
• Quantum computing | MIT News | Massachusetts Institute of Technology