Lifeboat Foundation

Definitely aligns with my NextGen transformational roadmap leading to Singularity. 5th Revolution is with Quantum technology, BMI, early Biocomputing. 6th Revolution is Singularity with Biocomputing evolved and all things living are enhanced via both technology and Biocomputing and several cases of hybrids through synthetic genes and technology. So, no shocker here.

A team of researchers at MIT has developed a technique to integrate both analogue and digital computation in living cells, allowing them to form gene circuits capable of carrying out complex processing operations.

Living cells are capable of performing complex computations on the environmental signals they encounter.

Continue reading “Complex analogue and digital computations in engineered bacterial cells” »

It certainly is.

Quantum computing’s full potential may still be years away, but there are plenty of benefits to be realized right now.

So argues Vern Brownell, president and CEO of D-Wave Systems, whose namesake quantum system is already in its second generation.

Continue reading “The quantum era has begun, this CEO says” »

(Phys.org)—In order to determine how fast quantum technologies can ultimately operate, physicists have established the concept of “quantum speed limits.” Quantum speed limits impose limitations on how fast a quantum system can transition from one state to another, so that such a transition requires a minimum amount of time (typically on the order of nanoseconds). This means, for example, that a future quantum computer will not be able to perform computations faster than a certain time determined by these limits.

Although physicists have been investigating different quantum speed limits for different types of quantum systems, it has not been clear what the best way to do this is, or how many different quantum speed limits there are.

Now in a new paper published in Physical Review X, Diego Paiva Pires et al., from the UK and Brazil, have used techniques from information geometry to show that there are an infinite number of quantum speed limits. They also develop a way to determine which of these speed limits are the strictest, or in other words, which speed limits offer the tightest lower bounds. As the researchers explain, the search for the ultimate quantum speed limits is closely related to the very nature of time itself.

Riding the coattails of cold atomic physics, researchers have demonstrated the ability to steer cold molecules into desired quantum states.

Ultracold atoms have become a favorite tool in physics because they can be precisely placed in a quantum state using optical and magnetic fields. This quantum control has been crucial for understanding fundamental quantum-mechanical behavior and for creating metrological devices such as the atomic clocks that keep time for GPS systems. Current efforts are devoted to using these controllable systems to simulate, for example, superconductivity, but this and other future applications will likely require that the particles within the system interact with each other. Ultracold atoms do not interact very strongly, so an obvious alternative is to turn to molecules. As opposed to atoms, molecules can have an electric dipole, which lets them naturally interact strongly with each other through dipole forces. But molecules are not a straight substitute for atoms. They are much more complicated and thus significantly harder to cool and control than atoms.

“We are reaching the limits of how precisely we can test quantum theory on Earth,” says Daniel Oi at the University of Strathclyde. Researchers from the National University of Singapore (NUS) and the University of Strathclyde, UK, have become the first to test in orbit technology for satellite-based quantum network nodes. With a network that carries information in the quantum properties of single particles, you can create secure keys for secret messaging and potentially connect powerful quantum computers in the future. But scientists think you will need equipment in space to get global reach.

Personally, I cannot wait to see all of the improvements in AI via Quantum technology.

Recent tests show that quantum computers made by D-Wave systems should solve some problems faster than ordinary computers. Researchers have begun to map out exactly which queries might benefit from these quantum machines.

The writer is referring to D-Wave (not Dwave) in his article.

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.

“Quantum computers enable us to use the laws of physics to solve intractable mathematical problems,” said Marcos López de Prado, Senior Managing Director at Guggenheim Partners and a Research Fellow at Lawrence Berkeley National Laboratory’s Computational Research Division. “This is the beginning of a new era, and it will change the job of the mathematician and computer scientist in the years to come.”

Continue reading “Can Dwave Quantum Computers help save finance and prevent future financial meltdowns from flawed models” »

Very true points by Kharam.

At SC Congress Toronto, Evgeniy Kharam, director and network security solutions architect at Herjavec Group predicted that the future network security was in machine learning, quantum computing and the cloud.

(Phys.org)—Werner Heisenberg originally proposed the uncertainty principle in 1927, but his original proposal was somewhat different than how it is interpreted today. As a recent paper in Physical Review Letters explains, Heisenberg’s original statement was about error and disturbance in a measurement process. Over the years, however, Heisenberg’s original proposal has been restated in terms of the uncertainties intrinsic to quantum states. This aspect of the uncertainty principle has been studied extensively with well-developed theories and verified experimentally.

On the other hand, Heisenberg’s original proposal regarding error in the measurement process is not as well understood. In the new paper, a team of researchers led by Professor Jiangfeng Du at the University of Science and Technology of China has reported an experimental test of the measurement aspect of Heisenberg’s uncertainty principle using nuclear-spin qubits.

In his original proposal, Heisenberg predicted a tradeoff between error and disturbance. He suggested that when a gamma-ray microscope measures the position of an electron, the measurement inevitably disturbs the electron’s momentum. The smaller the measurement error, the larger the disturbance, and vice versa. This idea was described qualitatively but a complete quantitative description is still lacking today.

Continue reading “Experimental test verifies Heisenberg’s measurement uncertainty principle” »