Conceptual Picture of IBM’s Starling, Planned to Be the Company’s First Fault Tolerant Quantum Computer. Credit: IBM. IBM had previously indicated its intention to create full fault tolerant quantum computers (FTQC) with an ultimate goal […]
Commvault has expanded its post-quantum cryptography (PQC) framework by adding support for the Hamming Quasi-Cyclic (HQC) algorithm, recently selected by the National Institute of Standards and Technology (NIST) as a backup key encapsulation mechanism (KEM) […]
A week ago I attended LessOnline, a rationalist blogging conference featuring many people I’ve known for years—Scott Alexander, Eliezer Yudkowsky, Zvi Mowshowitz, Sarah Constantin, Carl Feynman—as well as people I’ve known only online and was […]
IONQ plans to have a fault-tolerant quantum computer by 2029 and they are acquiring Oxford Ionic for a about $1 billion. Some other important points: – Achieved 99.99% physical fidelity TODAY – Still on track […]
Physicists at the University of Oxford have set a new global benchmark for the accuracy of controlling a single quantum bit, achieving the lowest-ever error rate for a quantum logic operation—just 0.000015%, or one error […]
String theory has long been touted as physicists’ best candidate for describing the fundamental nature of the universe, with elementary particles and forces described as vibrations of tiny threads of energy. But in the early […]
IonQ has signed a definitive agreement to acquire Oxford Ionics, a UK-based quantum hardware company, in a transaction valued at $1.075 billion, marking a strategic move to accelerate the global race toward fault-tolerant quantum computing. […]
One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. Click to rate this post! [Total: 0 Average: 0]You have already voted […]
Quantum computers still can’t do much. Almost every time researchers have found something the high-tech machines should one day excel at, a classical algorithm comes along that can do it just as well on a […]
Researchers in the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have developed a machine learning framework that can predict with quantum-level accuracy how materials respond to electric fields, up to the […]
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