Give people a barrier, and at some point they are bound to smash through. Chuck Yeager broke the sound barrier in 1947. Yuri Gagarin burst into orbit for the first manned spaceflight in 1961. The Human Genome Project finished cracking the genetic code in 2003. And we can add one more barrier to humanity’s trophy case: the exascale barrier.
The exascale barrier represents the challenge of achieving exascale-level computing, which has long been considered the benchmark for high performance. To reach that level, however, a computer needs to perform a quintillion calculations per second. You can think of a quintillion as a million trillion, a billion billion, or a million million millions. Whichever you choose, it’s an incomprehensibly large number of calculations.
On May 27, 2022, Frontier, a supercomputer built by the Department of Energy’s Oak Ridge National Laboratory, managed the feat. It performed 1.1 quintillion calculations per second to become the fastest computer in the world.
Japan’s Moon Snipper Landed on the Moon making Japan the fifth nation to accomplish a lunar landing and Astrobiotic’s Peregrine lunar lander reenters Earth’s atmosphere.
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The nature of work is evolving at an unprecedented pace. The rise of generative AI has accelerated data analysis, expedited the production of software code and even simplified the creation of marketing copy.
Those benefits have not come without concerns over job displacement, ethics and accuracy.
At the 2024 Consumer Electronics Show (CES), IEEE experts from industry and academia participated in a panel discussion discussing how the new tech landscape is changing the professional world, and how universities are educating students to thrive in it.
Researchers from the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have developed a new lithium metal battery that can be charged and discharged at least 6,000 times — more than any other pouch battery cell — and can be recharged in a matter of minutes.
Research paves the way for better lithium metal batteries.
The Hilbert space of a physical qubit typically features more than two energy levels. Using states outside the qubit subspace can provide advantages in quantum computation. To benefit from these advantages, individual states of the $d$-dimensional qudit Hilbert space have to be discriminated during readout. We propose and analyze two measurement strategies that improve the distinguishability of transmon qudit states. Based on a model describing the readout of a transmon qudit coupled to a resonator, we identify the regime in hardware parameter space where each strategy is optimal. We discuss these strategies in the context of a practical implementation of the default measurement of a ququart on IBM Quantum hardware whose states are prepared by employing higher-order $X$ gates that make use of two-photon transitions.