What’s the point of a fancy new computer, if it can’t run the program we want?
A similar matter applies to quantum computers. In theory, they can do anything that a traditional computer can. In practice, however, the quantumness in a quantum computer makes it nearly unfeasible to efficiently run some of the most important classical algorithms.
Even more important, the multiplication algorithm is part of a class of nearly universal algorithms in computer science.
There is a huge race to expand quantum computers for their enormous potential applications. Theory foretell that they can perform certain algorithms, such as factoring numbers or search algorithms, much faster than classical computers.
Quantum computers would not only transform informatics but would impact many areas of life, for example economics and communication, as well. Now a group of scientists at Fudan University led by Donglai Feng and Tong Zhang, in collaboration with the group of Zhongxian Zhao and Xiaoli Dong at the Institute of Physics of the Chinese Academy of Sciences, have made a great step towards quantum computers.
Scarcity of liquid helium are beginning to cause stress for researchers, as the third major supply constraint since 2006 is affecting everyone from medical laboratories to party supply stores due to increase cost and rationing from vendors.
Despite helium being the second most ample element in the universe, there are only 14 liquid helium production facilities in the world—with around 75% of that consumed worldwide produced in Ras Laffan Industrial City in Qatar, an ExxonMobil facility in Wyoming, and facilities owned by the US Bureau of Land Management (BLM), according to GasWorld.
A new method by researchers at Princeton University, University of Chicago and IBM significantly improves the reliability of quantum computers by utilizing data about the noisiness of operations on real hardware.
In a paper presented this week, researchers reported a novel compilation method that boosts the ability of resource-constrained and “noisy” quantum computers to produce useful answers. Notably, the researchers illustrated a nearly three times average improvement in reliability for real-system runs on IBM’s 16-qubit quantum computer, improving some program executions by as much as 18-fold.
Imagine you’re the star of an action movie about a kidnapping. As part of the story, you come into hold of a secret message, which says where the victim is hidden. Unfortunately, the message is encrypted using a 12-digit secret key, a string of digits such as 8409. But you don’t know the hidden key.
A simple manner is to search through all the possible routes, while keeping track of the minimal route found. Of course, it’s possible to flourish more sophisticated algorithms for TSP, algorithms that make it unnecessary to search through every route. Indeed, search is sometimes a good final-cut approach. Overall, search is an exceptionally useful general-purpose algorithm.
Finder has just publish an interview with Ethereum core analyst Danny Ryan, who is spearheading Ethereum 2.0 and the move to Proof of Stake.
In the meeting with host Fred Schebesta, Ryan says Ethereum wants to be quantum resistant within three to five years and that he expects Ethereum 2.0 to be live by the end of 2019, or the start of 2020. New test nets are scheduled to go live in the next quarter.
Appearing at EDCON, the Ethereum developers’ conference, which just wrapped up in Sydney, Australia on April 13, Ryan joined the Ethereum Foundation members for a Q&A panel with Finder.
Four stories underground — confined in several feet of concrete — is the University of Chicago’s new nanofabrication facility, where researchers enact the principles of quantum physics to real-world problems and technologies.
A little cadre of faculty and graduate students in a clean room bathed in yellow light wear protective clothing to ensure the probity of the experiments they are conducting, which involves the very matter that comprise the universe: electrons, photons, neutrons and protons.
Programmers are human, but mathematics is perpetual. By making programming more mathematical, a group of computer scientists is hoping to terminating the coding bugs that can open doors to hackers, spill digital secrets and generally plague modern society.
Now a set of computer scientists has taken a vital step toward this goal with the release today of EverCrypt, a set of digital cryptography tools.
The Department of Energy presented plans Tuesday to make $40 million in allotment funding available to multidisciplinary teams developing advanced algorithms and software for quantum computers.
Since 2014, DOE’s Office of Science has estimated and invested in early quantum simulations, machine-learning algorithms and software stacks. The supercomputers are expected to transform work in the fields of quantum physics, chemistry and biology.