Lifeboat Foundation

Some foresee quantum computers will come to solve some of the world’s most serious issues. However, others accept that the advantages will be exceeded by the downsides, for example, cost or that quantum computers basically can’t work, incapable to play out the complexities demanded of them in the manner we envision. The integral factor will be if the producers can guarantee ‘quantum supremacy’ by accomplishing low error rates for their machines and outperforming current computers.

Hollywood has made numerous anticipations with respect to the future and artificial intelligence, some disturbing, others empowering. One of the most quickly developing research areas takes a look at the use of quantum computers in molding artificial intelligence. Actually, some consider machine learning the yardstick by which the field is estimated.

The idea of machine learning, to ‘learn’ new data without express explicit instruction or programming has existed since 1959, in spite of the fact that we still haven’t exactly shown up at the vision set somewhere by the likes of Isaac Asimov and Arthur C. Clarke. In any case, the conviction is that quantum computing will help accelerate our advancement right now. What was at one time a periphery thought evaded by the more extensive science community, has developed to turn into a well known and practical field worthy of serious investment.

IBM quantum computer runs machine-learning algorithm to find Higgs events.

Since its beginnings, quantum mechanics hasn’t ceased to amaze us with its peculiarity, so difficult to understand. Why does one particle seem to pass through two slits simultaneously? Why, instead of specific predictions, can we only talk about evolution of probabilities? According to theorists from universities in Warsaw and Oxford, the most important features of the quantum world may result from the special theory of relativity, which until now seemed to have little to do with quantum mechanics.

Since the arrival of quantum mechanics and the theory of relativity, physicists have lost sleep over the incompatibility of these three concepts (three, since there are two theories of relativity: special and general). It has commonly been accepted that it is the description of quantum mechanics that is the more fundamental and that the theory of relativity that will have to be adjusted to it. Dr. Andrzej Dragan from the Faculty of Physics, University of Warsaw (FUW) and Prof. Artur Ekert from the University of Oxford (UO) have just presented their reasoning leading to a different conclusion. In the article “The Quantum Principle of Relativity,” published in the New Journal of Physics, they prove that the features of quantum mechanics determining its uniqueness and its non-intuitive exoticism—accepted, what’s more, on faith (as axioms)—can be explained within the framework of the special theory of relativity. One only has to decide on a certain rather unorthodox step.

Albert Einstein based the special theory of relativity on two postulates. The first is known as the Galilean principle of relativity (which, please note, is a special case of the Copernican principle). This states that physics is the same in every inertial system (i.e., one that is either at rest or in a steady straight line motion). The second postulate, formulated on the result of the famous Michelson-Morley experiment, imposed the requirement of a constant velocity of light in every reference system.

D-Wave, the Canadian quantum computing company, today announced that it is giving anyone who is working on responses to the COVID-19 free access to its Leap 2 quantum computing cloud service. The offer isn’t only valid to those focusing on new drugs but open to any research or team working on any aspect of how to solve the current crisis, be that logistics, modeling the spread of the virus or working on novel diagnostics.

One thing that makes the D-Wave program unique is that the company also managed to pull in a number of partners that are already working with it on other projects. These include Volkswagen, DENSO, Jülich Supercomputing Centre, MDR, Menten AI, Sigma-i Tohoku University, Ludwig Maximilian University and OTI Lumionics. These partners will provide engineering expertise to teams that are using Leap 2 for developing solutions to the Covid-19 crisis.

As D-Wave CEO Alan Baratz told me, this project started taking shape about a week and a half ago. In our conversation, he stressed that teams working with Leap 2 will get a commercial license, so there is no need to open source their solutions and won’t have a one-minute per month limit, which are typically the standard restrictions for using D-Wave’s cloud service.

200+ user-developed early quantum applications on D-Wave systems, including airline scheduling, election modeling, quantum chemistry simulation, automotive design, preventative healthcare, logistics, and much more.

Circa 2016

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. Such a light-based structure, which has patterned features that in some ways resemble those of a crystal, is essentially a “perfect” structure—free of the typical defects found in natural materials.

Continue reading “Toward ‘perfect’ quantum metamaterial: Study uses trapped atoms in an artificial crystal of light” »

Vortices in starfish eggs resemble those found in quantum fluids.

Quantum computers will revolutionize information technology, ushering in an era where certain types of calculations will be performed with almost unimaginable speed. Practical applications will include healthcare disciplines such as molecular biology and drug discovery; big data mining; financial services such as portfolio analysis and fraud detection; and artificial intelligence and machine learning.

The federal government is helping to create an environment in which quantum computing innovation and experimentation can flourish. The National Quantum Initiative Act puts $1.2 billion into the quantum research budgets of the Energy Department, the National Institute of Standards and Technology, NASA and the National Science Foundation. The law also outlines a 10-year plan to accelerate the development of quantum information science and technology applications.

Meanwhile, The White House’s Office of Science and Technology Policy is working to ensure that economic growth opportunities and opportunities for improving the world are baked into quantum policies and systems.

The same concept applies to the processor integrated into a quantum computer, whose fragile bits should be tuned optimally before it can execute a calculation. But who would be the right mechanic to perform this quantum tune-up task?

According to a group that comprises researchers from the National Institute of Standards and Technology (NIST), the quantum tune-up job can be performed by artificial intelligence (AI).

Published in the Physical Review Applied journal, the researchers’ paper shows how an AI can be trained to make an interconnected set of modifications to minute quantum dots. These quantum dots are among the numerous potential devices used for developing the quantum bits, also known as qubits,” that would create the switches in the processor of a quantum computer.