MIT Just Unveiled A Technique to Mass Produce Quantum Computers. In Brief Researchers have found a way to make the creation of qubits simpler and more precise.
The team hopes that this new technique could, one day, allow for the mass production of quantum computers. Commercial Quantum Computing Quantum computing is, if you are not already familiar, simply put, a type of computation that uses qubits to encode data instead of the traditional bit (1s and 0s). In short, it allows for the superposition of states, which is where data can be in more than one state at a given time.
So, while traditional computing is limited to information belonging to only one or another state, quantum computing widens those limitations. The Age of Quantum Computing Has Arrived. In Brief Technological giants have announced that the launch of quantum computers is imminent.
These machines are capable of performing more complicated calculations than supercomputers and could revolutionize fields like finance and drug development. Harnessing Quantum Mechanics Marshall McLuhan, a media theorist of the past generation, once said, “The computer is the most extraordinary of man’s technological clothing…beside it, the wheel is a mere hula hoop.” D-Wave ups its quantum annealing game to 2000 qubits. Universal quantum computers don’t exist, but that hasn’t stopped D-Wave from carving out its own place in the quantum computing market.
Today, the 17-year-old company is announcing its forth quantum chip, the 2000Q, doubling the number of qubits on its exiting 1000Q chip. The Burnaby, British Columbia based company’s chips fall under a specific class of quantum computing called quantum annealing. Annealing is useful for a subset of optimization computing problems. Optimization regularly involves hunting for minimums and maximums. If you remember back to your days of beginner calculus, you might remember a class of problems where you were asked to determine what size squares should be cut from the corners of a sheet of cardboard to produce the largest box. Quantum Computing Is Real, and D-Wave Just Open-Sourced It. Quantum computing is real.
But it’s also hard. So hard that only a few developers, usually trained in quantum physics, advanced mathematics, or most likely both, can actually work with the few quantum computers that exist. Now D-Wave, the Canadian company behind the quantum computer that Google and NASA have been testing since 2013, wants to make quantum computing a bit easier through the power of open source software. A Computer That Stores Memories Like Humans Do. They called it the Hubble Telescope of the mind.
This was in 2009, after the announcement that a team of scientists from IBM’s Cognitive Computing group had built what was, at the time, the largest artificial brain ever. It was a cell-by-cell computer simulation of the human visual cortex, large as a cat’s brain. The reference to Hubble, the deep-space telescope, is a nod to the galactic complexity of building a computer with brain-like infrastructure. There's a New Approach to Quantum Computing: Microwave Signals. In Brief Researchers at Aalto University have demonstrated how microwave signals can be used to code information for quantum computing, possibly creating an approach different from optical systems.
In the race to create practical quantum computers, researchers have been focusing on optical systems. For instance, researchers from MIT recently made an important step towards quantum computing by developing a prototype chip that can trap ions in an electric field, and using built-in optics, direct laser light towards each of them. But what if there was another way to build quantum computers without focusing on optical systems? A team of researchers at Aalto University in Finland came up with a new answer: microwave signals.
“Today the basic architecture of future quantum computers is being developed very intensively around the world. For the study, published in journal Nature Communications, the team chilled a microwave resonator to nearly absolute zero temperature—freezing any thermal motion. The First Reprogrammable Quantum Computer Has Been Created. The Beginning of Reprogrammable Quantum Computers While several other teams and companies, including computer technology giant IBM, are in on the race towards quantum computing, all the quantum computers presented thus far can only run one type of operation—which is ironic, seeing as quantum computers can theoretically run more operations than there are atoms in the universe.
Finally, a team of researchers from the University of Maryland say they have developed the first ever fully programmable and reprogrammable quantum computer. It is made up of just five ytterbium atoms standing as quantum bits or qubits of information, which are electrically charged in a magnetic field. “Until now, there hasn’t been any quantum-computing platform that had the capability to program new algorithms into their system. The ions are manipulated using lasers through a process called “optical pumping” in order to set them into the desired quantum energy state.
This Is the Most Complex Integrated Quantum Circuit Ever Made. Can Dwave Quantum Computers help save finance and prevent future financial meltdowns from flawed models. Dwave Systems and 1QB Information Technologies Inc. (1QBit), a quantum software firm, and financial industry experts today announced the launch of Quantum for Quants (quantumforquants.org), an online community designed specifically for quantitative analysts and other experts focused on complex problems in finance.
Launched at the Global Derivatives Trading and Risk Management conference in Budapest, the online community will allow quantitative finance and quantum computing professionals to share ideas and insights regarding quantum technology and to explore its application to the finance industry. Through this community financial industry experts will also be granted access to quantum computing software tools, simulators, and other resources and expertise to explore the best ways to tackle the most difficult computational problems in finance using entirely new techniques. This is not a unique example. There are plenty of revered financial techniques that fail to perform as advertised. Bilayer Graphene Quantum Tunneling transistors are ultralow power and could achieve 100 gigahertz operations.
Scientists have developed a new type of graphene-based transistor and using modelling they have demonstrated that it has ultralow power consumption compared with other similar transistor device.
They could eventually achieve 100 gigahertz clock speeds. Building transistors that are capable of switching at low voltages (less than 0.5 volts) is one of the greatest challenges of modern electronics. IBM Achieves Breakthrough In Storage Memory, 50 Times Faster Than Flash. Google Custom Machine Learning Chip has ten times better performance per watt for machine learning for a seven year advantage. Google began a stealth project several years ago to see what they could accomplish with their own custom accelerators for machine learning applications.
The result is called a Tensor Processing Unit (TPU), a custom ASIC they built specifically for machine learning — and tailored for TensorFlow. They have been running TPUs inside their data centers for more than a year, and have found them to deliver an order of magnitude better-optimized performance per watt for machine learning. This is roughly equivalent to fast-forwarding technology about seven years into the future (three generations of Moore’s Law). TPU is tailored to machine learning applications, allowing the chip to be more tolerant of reduced computational precision, which means it requires fewer transistors per operation.
TPU is an example of how fast we turn research into practice — from first tested silicon, the team had them up and running applications at speed in our data centers within 22 days. Tensor Processing Unit board. Diamond on silicon chips are running at 100 Gigahertz and can also make power chips for directing 10,000 volts. Diamond computer chips running at 100-GHz have been demonstrated by Akhan Semiconductor. They are currently using design rules in the 100s of nanometers. Developers are focusing on power applications on 12-inch wafers. They hope to drive down the costs of production with higher volumes. Power devices are moving into pilot production at a fab. They are using the fab-lite model—that is produce small- to medium-sized runs themselves. They have some customers for diamond MEMS devices—specifically for capacitive switching arrays used to dynamically tune antenna in high-end smartphones. Akahn aims to enter the quantum computer field, but not using the nitrogen vacancy method, but rather using their own proprietary doping techniques they are keeping as a trade secret for now.
Diamond is unmatched in its ability to diffuse heat, perform as a semiconductor, and create smaller and more powerful electronics. Making the diamond chips also uses 20% less water than making a comparable silicon chip. European company ATOS targets exaflop supercomputer by 2020. Atos Chairman and CEO, Thierry Breton claims the Bull sequana is the first exascale-class supercomputer offering a thousand times more performance than current petaflops-scale systems.
Computer manufacturer Atos has named its first customer for Bull sequana, a supercomputer design it hopes will reach exaflop levels of performance by 2020. Atos is building the computer for the French Alternative Energies and Atomic Energy Commission (CEA), it said Tuesday. It's an ambitious target for Atos, as it will mean a thousand-fold increase in performance compared to the last machine it built for the CEA, the 1.25-Pflop Tera 100 completed in 2010. That machine, fast for its day, now languishes in 74th place in the Top500 list. Atos also promises that Bull sequana will be 10 times more energy efficient than today's machines. The six-year-old Tera 100 is a laggard when it comes to energy efficiency, at just 0.23 Gflops/watt. Trapped atoms in an artificial crystal of light is a major leap towards perfect quantum metamaterials free of structural defects.
Scientists have devised a way to build a “quantum metamaterial”—an engineered material with exotic properties not found in nature—using ultracold atoms trapped in an artificial crystal composed of light. The theoretical work represents a step toward manipulating atoms to transmit information, perform complex simulations or function as powerful sensors.The research team, led by scientists at the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) and UC Berkeley, proposes the use of an accordion-like atomic framework, or “lattice” structure, made with laser light to trap atoms in regularly spaced nanoscale pockets. The wavelike pattern at the top shows the accordion-like structure of a proposed quantum material—an artificial crystal made of light—that can trap atoms in regularly spaced nanoscale pockets.
Physical Review Letters - Coherence-Driven Topological Transition in Quantum Metamaterials Pankaj K. Japan will have a 25 petaFLOP supercomputer operating in December 2016. The Joint Center for Advanced High Performance Computing (JCAHPC) in Japan today released the details of its next generation supercomputer – Oakforest-PACs – which will deliver 25 PFLOPS, use Intel’s Xeon Phi (Knights Landing) manycore processors and Omni-Path Architecture, be built by Fujitsu, and be operational in December 2016.
When fired up, the Oakforest-PACS will be the fastest supercomputer system in Japan for the moment. Twenty-five PFLOPS would have taken the second spot on the TOP500 last November – ahead of Titan (DoE/Oak Ridge NL, 17.5 PFLOPS) but still short of Tianhe-2 (National Supercomputer Center, Guangzhou, 33.8 PFLOPS). There has been speculation that China will field two 100 PFLOPS machines this year, perhaps having one benchmarked in time for the June TOP500. 180 PetaFLOP Aurora supercomputer in the USA planned for 2018.
China will unveil a 100 petaflop supercomputer next month after investing $500 million to develop domestic chips after US ban on Intel Xeon exports to China. In 2015, the U.S. State Department blocked the further sales of Intel Xeon and Xeon Phi processors to Chinese institutions, most notably the Tianhe-2 supercomputer. The U.S. Administration also blocked the move in which a China-based investment fund would invest in AMD. Tianhe 2 has been the world's fastest superconmputer since early 2013. Tianhe-2 has 32,000 Intel Xeon E5-2692 v2 processors, and 48,000 Intel Xeon Phi 31S1P co-processors. According to VRWorld sources, China did not react in a way the current administration expected.
At the 2016 Supercomputing Frontiers conference in Singapore, VRWorld learned the first details of the fully developed Tianhe-2 supercomputer, scheduled to debut in June 2016 during the 2016 International Supercomputing Conference in Frankfurt, Germany. US Supercomputer Chip ban delayed China's 100 petaFLOP computer by 8 months and contributed to Intel laying off 12,000 employees. In April 2015, the US government refused to let Intel help China update the world's biggest supercomputer. The Tianhe-2 used 80,000 Intel Xeon chips to generate a computational capacity of more than 33 petaflops. In 2015, the Chinese machine was due to undergo a series of upgrades to boost its number-crunching abilities past 110 petaflops. New Quantum Processor Brings Quantum Computing Closer to Reality.
Integrated quantum technology in single chips. Neuromorphic supercomputer has 16 million neurons. Today, Lawrence Livermore National Lab (LLNL) and IBM announced the development of a new Scale-up Synaptic Supercomputer (NS16e) that highly integrates 16 TrueNorth Chips in a 4×4 array to deliver 16 million neurons and 256 million synapses. More than Moore's law strategy for computer industry. Next month, the worldwide semiconductor industry will formally acknowledge what has become increasingly obvious to everyone involved: Moore's law [semiconductor scaling], the principle that has powered the information-technology revolution since the 1960s, is nearing its end. Moore's law states that the number of transistors on a microprocessor chip will double every two years or so — which has generally meant that the chip's performance will, too.
The semiconductor industry has released a research road map every two years to coordinate what its hundreds of manufacturers and suppliers are doing to stay in step with the law — a strategy sometimes called More Moore. It has been largely thanks to this road map that computers have followed the law's exponential demands. Rigetti Computing is a quantum computer startup that emerged from IBM Research. Nanofabrication of a silicon chip with all quantum info processor. Prof. Skyscraper computers chips outperform conventional by 1000 ties. Google Finds Dwave Quantum annealer is 100 million times faster than a classic single core computer and discusses scaling and improving quantum computers.
During the last two years, the Google Quantum AI team has made progress in understanding the physics governing quantum annealers. Evolving Scalable Quantum Computers. Dwave Quantum computers are speeding up by 30,000 to 1 million times every 1-2 years. Quantum communications go thin and light. Light travels "infinitely fast" on new zero-index on-chip material.
Australia develops two qubit silicon quantum computer. Intel Invests US$50 Million to Advance Quantum Computing. Quantum Light Harvesting Hints at Entirely New Form of Computing. Here's why DNA could eventually replace hard drives. A little light interaction leaves quantum physicists beaming. Quantum computer firm D-Wave claims massive performance boost. Dwave Systems 1000+ qubit system available, faster than regular computers with 15-600 times speed up over classical solvers. Potentially a very big deal - Dwave 2X 1000-2048 qubit quantum annealing system becoming faster than classical computers. Startup Knowm combines machine learning, quantum computing via memristors.
Single DNA molecule could store information for a million years following scientific breakthrough - Science - News - The Independent. New optical chip lights up the race for quantum computer. MIPT researchers clear the way for fast plasmonic chips. Intel and Micron have new class of non-volatile memory that is 1000 times faster and 10 times denser than NAND Flash memory. Good Vibrations For Computations. Computing at the speed of light: Team takes big step toward much faster computers. Fuzzy and Boolean logic gates based on DNA nanotechnology. IBM Just Cracked One of the Biggest Problems Facing Quantum Computing.
Researchers achieve electrical control of quantum bits, paving the way for quantum computers. Entanglement-Based Machine Learning on a Photonic Quantum Computer in principle and if scaled would show exponential speed up. MIT Engineers Beat the Complexity of Deep Parallel Processing. Entanglement on a chip: Breakthrough promises secure communications and faster computers. Scientists create quantum entanglement on a silicon chip. Scientists tame Schrodinger's cat for a new type of quantum computer. Next Big Future: Nanowire Quantum dot lasers will be components for quantum computers. Quantum Teleportation Reaches Farthest Distance Yet. Replacing wires with light, future computers may operate faster with less energy. This is what the death of Moore’s law looks like: EUV rollout slowed, 450mm wafers halted, and an uncertain path beyond 14nm.
Computer First: Silicon Chip Holds Quantum Data. Physicists Discover Particle That's Both Matter and Antimatter. Nvidia Introduces cuDNN, a CUDA-based library for Deep Neural Networks. Quantum Bits Compressed for the First Time. IBM Reveals Incredible New Brain-Inspired Chip. This Scientific Breakthrough May Have Laid The Groundwork For Human TeleportationElite Daily. Scientists Managed to Teleport Data over Three Meters with 100% Accuracy. Quantum Switches Controlled By Single Photons. Bioengineers create circuit board modeled on the human brain.
Bioengineers Build Circuit Board Modeled On The Human Brain. Photovoltaic Solar-panel Windows Could Be Next For Your House. Two Big Steps Toward the Quantum Computer. Quantum computing and new approaches to Artificial Intelligence could get the resources to achieve real breakthroughs in computing.