IBM Q research has built and tested an operational 50 qubit prototype processor, a huge leap up from its previous record of 17 qubits. The company is also set to make a 20 qubit quantum system available online for clients to try, with an updated superconducting design, connectivity and packaging. That'll let users run computations with a "field-leading" 90 microseconds of coherence, allowing "high-fidelity quantum operations," IBM says. Quantum computers work much differently than regular supercomputers, taking advantage of weird quantum physics principals like "superposition." In theory, they can run specific programs, like encryption-cracking algorithms, many, many times faster than regular computers.
Graphene, the wonder-material which is the atom-thick two-dimensional form of carbon, is once again showing its potential use in the development of quantum computers. Researchers from École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland demonstrated a graphene-based quantum capacitor, which can produce stable qubits -- the quantum counterpart of digital bits used in regular computers. While a digital bit works on a binary system and can store data as either 0 or 1, quantum bits -- or qubits -- can exist in two states simultaneously and also exhibit arbitrary superposition, which greatly increases their storage and computing power, by several orders of magnitude. However, creating them requires very controlled conditions, such as extremely low temperatures. Read: 'Artificial Atom' In Graphene Has Potential Quantum Computing Applications The capacitor designed by the EPFL researchers consists of boron nitride -- an insulating material resistant to heat and chemicals -- placed between two sheets of graphene.
A team of researchers from the University of Manchester announced Monday they had taken a significant step forward in the creation of viable quantum computers. In a study published in the latest edition of the journal Chem, the researchers provided evidence that large molecules made of nickel and chromium could be used as qubits -- the quantum computing equivalent of the bits used to store and process information in conventional computers. According to the study, it is possible, at least in theory, to use molecular chemistry to connect these molecules, thereby creating several stable qubits that can then be used to create two-qubit logic gates. "We have shown that the chemistry is achievable for bringing together two-qubit gates -- the molecules can be made and the gates can be assembled," lead author Richard Winpenny said in a statement. "The next step is to show that they work."
Coherence that ties sentences of a text into a meaningfully connected structure is of great importance to text generation and translation. In this paper, we propose a topic-based coherence model to produce coherence for document translation, in terms of the continuity of sentence topics in a text. We automatically extract a coherence chain for each source text to be translated. Based on the extracted source coherence chain, we adopt a maximum entropy classifier to predict the target coherence chain that defines a linear topic structure for the target document. The proposed topic-based coherence model then uses the predicted target coherence chain to help decoder select coherent word/phrase translations. Our experiments show that incorporating the topic-based coherence model into machine translation achieves substantial improvement over both the baseline and previous methods that integrate document topics rather than coherence chains into machine translation.
D-Wave, the well-funded quantum computing company, today announced its next-gen quantum computing platform with 5,000 qubits, up from 2,000 in the company's current system. The new platform will come to market in mid-2020. The company's new so-called Pegasus topology connects every qubit to 15 other qubits, up from six in its current topology. With this, developers can use the machine to solve larger problems with fewer physical qubits -- or larger problems in general. It's worth noting that D-Wave's qubits are different from those of the company's competitors like Rigetti, IBM and Google, with shorter coherence times and a system that mostly focuses on solving optimization problems.