A new photonic quantum computer takes just 36 microseconds to perform a task that would take a conventional supercomputer more than 9,000 years to complete. The new device, named Borealis, is the first quantum computer from a startup to display such “quantum advantage” over regular computers. Borealis is also the first machine capable of quantum advantage to be made available to the public over the cloud.
Quantum computers can theoretically achieve a quantum advantage that enables them to find the answers to problems no classical computers could ever solve. The more components known as qubits that a quantum computer has, the greater its computational power can grow, in an exponential fashion.
Microsoft today announced its roadmap for building its own quantum supercomputer, using the topological qubits the company’s researchers have been working on for quite a few years now. There are still plenty of intermediary milestones to be reached, but Krysta Svore, Microsoft’s VP of advanced quantum development, told us that the company believes that it will take fewer than 10 years to build a quantum supercomputer using these qubits that will be able to perform a reliable one million quantum operations per second. That’s a new measurement Microsoft is introducing as the overall industry aims to move beyond the current era of noisy intermediate-scale quantum (NISQ) computing.
We think… More.
At its Ignite conference, Microsoft today put its stake in the ground and discussed its progress in building a quantum computer and giving developers tools to experiment with this new computing paradigm on their existing machines.
They created a quantum system with properties analogous to black holes.
A collaborative effort from research teams across multiple organizations in China was successful in using quantum computing technology to test Hawking Radiation, the theory proposed by renowned physicist Stephen Hawking, the South China Morning Post.
Quantum computing is a complex field that involves using mathematics, computer science, and physics to solve complex problems. Interesting Engineering recently reported how a quantum computer recently beat a conventional supercomputer at complex math.
IBM announced a new breakthrough, published on the cover of the scientific journal Nature, demonstrating for the first time that quantum computers can produce accurate results at a scale of 100+ qubits reaching beyond leading classical approaches.
The company now plans to power its quantum computers with a minimum of 127 qubits.
IBM’s Eagle quantum computer has outperformed a conventional supercomputer when solving complex mathematical calculations. This is also the first demonstration of a quantum computer providing accurate results at a scale of 100+ qubits, a company press release said.
Researchers at IBM pitted their 127-qubit Eagle quantum computer against a conventional supercomputer in a challenge to perform a complex calculation – and the quantum computer won.
Highlights from the latest #nvidia keynote at Computex in Taiwan, home of TSMC and is the world’s capital of semiconductor manufacturing and chip fabrication. Topics include @NVIDIA’s insane H100 datacenter GPUs, Grace Hopper superchips, GH200 AI supercomputer, and how these chips will power generative AI technologies like #chatgpt by #openai and reshape computing as we know it.
It took less than a second to solve a puzzle that super computers would take five years to solve.
A quantum computer, Juizhang, built by a team led by Pan Jianwei, has claimed that it can process artificial intelligence (AI) related tasks 180 million times faster, the South China Morning Post.
Even as the US celebrates its lead in the list of TOP500 supercomputers in the world, China has been slowly building its expertise in the next frontier of computing — quantum computing. Unlike conventional computing, where a bit-the smallest block of information can either exist as one or zero, a bit in quantum computing can exist in both states at once.
Can “hallucinations” generate an alternate world, prophesying falsehood?
As I write this article, NVIDIA(• is surpassing Wall Street’s expectations. The company, headquartered in Santa Clara, California, has just joined the exclusive club of only five companies in the world valued at over a trillion dollars [Apple (2.7T), Microsoft (2.4T), Saudi Aramco (2T), Alphabet/Google (1.5T), and Amazon (1.2T)], as its shares rose nearly 25% in a single day! A clear sign of how the widespread use of Artificial Intelligence (AI) can dramatically reshape the technology sector.
Intel has announced an ambitious plan to develop scientific generative AIs designed with one trillion parameters. These models will be trained on various types of data, including general texts, code, and scientific information. In comparison, OpenAI’s GPT-3 has 175 billion parameters (the size of GPT-4 has not yet been disclosed by OpenAI). The semiconductor company’s main focus is to apply these AIs in the study of areas such as biology, medicine, climate, cosmology, chemistry, and the development of new materials. To achieve this goal, Intel plans to launch a new supercomputer called Aurora, with processing capacity exceeding two EXAFLOPS(*•, later this year.