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Tag: QuantumComputing

Quantum hackers can bring down Bitcoin: expert

NEW YORK – $3 trillion of cryptocurrency assets are, or soon will be, vulnerable to hacking by quantum computers, one of China’s top cryptographers told an Asia Times webinar on November 30.

You won’t know if it’s happening until it’s too late, Professor Jintao Ding of Tsinghua University explained. And the best thing about hacking Bitcoin, he explained, is that it isn’t against the law.

Crypto analysts have worried about the quantum invasion for some time. Motley Fool’s Zhiyuan Sun wrote in September, “The rise of quantum computing may soon give governments a…

Quantum Computers Will End Cryptocurrencies And The Blockchain, Experts Say

With a computing power that no one could dream of a few years ago, quantum computers put traditional cryptography in check.
The cryptocurrencies and the blockchain are safe because they use complex algorithms to generate them, and encryption based on computer networks.
But cryptography is a slave to technological evolution. An encryption algorithm can be broken by brute force, although it would take thousands of years of calculations with conventional computers. Experts have long wondered: What if quantum computers were tried?
In 2019 Google introduced Sycamore, a 54 qubit…

Role of Quantum Computing and AI in Healthcare Industry

by Madhurjya Chowdhury
November 24, 2021
One of our age’s major achievements in healthcare. Medical research has advanced rapidly, extending life expectancy around the world. However, as people live longer, healthcare systems face increased demand, rising expenses, and a staff that is straining to meet the needs of the patient.Population aging, changing patients’ needs, a change in life choices, and the never-ending loop of innovation are just a few of the relentless forces driving demand. The consequences of an aging population stand out among these. Healthcare is one of our…

Is Quantum Computing the Future of AI?

Quantum computing has grabbed the imagination of computer scientists as one possible future of the discipline after we’ve reached the limits of digital binary computers. Thanks to its capability to hold many different possible outcomes in the “quantum state,” quantum computing could potentially deliver a big computational upgrade for machine learning and AI problems. However, there are still a lot of unanswered questions around quantum computing, and it’s unclear if the devices will help with the building wave of investment in enterprise AI.

Quantum Computing will Dramatically Increase Capabilities Beyond Classical Computing

The quantum computing technology is advancing rapidly and aims to solve more complex business problems through improved optimization, simulation, and machine learning. Quantum computers use quantum bits, which are subatomic particles such as electrons and protons to represent data. Several experts believe quantum computing is a potential game-changer, particularly in sectors such as banking, where quantum algorithms could be useful to handle difficulties in calculating value-at-risk (VAR)…

Do I Need A Ph.D. To Land A Job In Quantum Machine Learning?

My Two Quanta On Quantum Computing’s Next Challenge

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Scarcity? We have the same resources as Neanderthal Man!

COSM 2021 is fast approaching. On the weekend of November 10-12, titans of the tech world will descend on Bellevue, Washington, to discuss the future of technology. Topics to be covered include blockchain, NFTs, quantum computing, artificial intelligence, and Big Questions like “Is Technology Soaring or Slumping?”

This year, COSM will include Discovery Institute’s own Gale Pooley, senior fellow at the Center on Wealth & Poverty.

Dr. Gale Pooley

This isn’t Pooley’s first round at COSM. He addressed the COSM crowd in 2019 with a talk entitled, “Killing Thanos – Defeating the Ideology of Scarcity” (video posted at the end of this article). This November, Pooley’s topic is “The End of Inflation.”

The economics professor has spent his career lifting our spirits about the state of the world.


Data Science – How is the Reality Different from the Expectations?


August 29, 2021

A few years ago, the extent to which people got curious to know about data science needs no special mention. The tag of being called the most sought-after job of the century did all the wonders. The magic that this tag had on the budding career aspirants cannot be merely put into words. Organizations taking in all possible efforts to unlock transformative growth through AI, ML and data analytics served to be a blessing for those who were all set to make in the mark in the field of data science. What followed is an insane demand for data science as a career path across the globe reached heights. Going by the principle of demand and supply, the high demand eventually paved the way for anticipation that the salaries would be pushed through the roof.


IIT-Madras, IBM to enhance NPTEL courses on data science, AI and quantum computing

The Indian Institute of Technology (IIT) Madras and IBM will augment select courses on the National Programme on Technology Enhanced Learning (NPTEL) platform. Experts from IBM will be co-offering a quantum computing course on the NPTEL platform and enhance select NPTEL courses such as data science and AI with technical inputs that will help provide students with a current industry perspective.

Free technical sessions will also be conducted for NPTEL partner colleges through IBM’s local chapters and for the IIT-Madras’s online BSc degree programme. These sessions will be made available on NPTEL and IIT Madras’ online platforms.

Mona Bharadwaj, global university programs leader, IBM India, said, “Technology has emerged as a key business enabler and Indian enterprises have been accelerating adoption of new-age technologies like Hybrid Cloud, AI, Analytics, Quantum Computing and IoT.


What Does the Future of Machine Learning Look Like?

With machine learning now being behind many technologies, from Netflix’s recommendation algorithm to self-driving cars, it’s time for businesses to start taking a closer look. In this article, we will discuss the future of machine learning and its value throughout industries.

Machine learning solutions continue to incorporate changes into businesses’ core processes and are becoming more prevalent in our daily lives. The global machine learning market is predicted to grow from $8.43 billion in 2019 to $117.19 billion by 2027.

Despite being a trending topic, the term ‘machine learning’ is often used interchangeably with the concept of artificial intelligence. In fact, machine learning is a subfield of artificial intelligence based on algorithms that can learn from data and make decisions with minimal or no human intervention.


IIT Madras and IBM Collaborate to Offer Free Online Courses on Artificial Intelligence and Data Science

IIT Madras and IBM have announced a collaboration for the Online BSc Degree program as well as to augment select courses on the National Programme on Technology Enhanced Learning (NPTEL) platform.  IBM experts will be co-offering a quantum computing course on the NPTEL Platform and augment select NPTEL courses such as data science and artificial intelligence with technical inputs that will help provide students with a current industry perspective.

Prof Andrew Thangaraj, coordinator, NPTEL, IIT Madras, said, “IITs and IISc can reach out to a large number of learners through the NPTEL platform. NPTEL currently works with more than 4,000 colleges in engineering, arts, commerce, science, and management disciplines across the country.


Study demonstrates the quantum speed up of supervised machine learning on a new classification task

Credit: IBM Research

In recent years, several computer scientists and physicists have been exploring the potential of quantum-enhanced machine learning algorithms. As their name suggests, quantum machine learning approaches combine quantum algorithms with machine learning techniques.

Most researchers investigating learning algorithms have been trying to understand whether they could solve tasks faster than conventional machine learning techniques. One of the tasks that machine learning algorithms are commonly trained to complete are tasks, such as arranging images into different categories or accurately classifying specific objects or living creatures in an image.


Patterning silicon at the one-nanometer scale

Aug 12, 2021

(Nanowerk News) Researchers have developed an innovative technique for creating nanomaterials. These are materials only atoms wide. They draw on nanoscience to allow scientists to control their construction and behavior. The new electron beam nanofabrication technique is called plasmon engineering. It achieves unprecedented near-atomic scale control of patterning in silicon.

Structures built using this approach produce record-high tuning of electro-optical properties. In this research (Advanced Functional Materials, “Patterning Si at the 1 nm Length Scale with Aberration-Corrected Electron-Beam Lithography: Tuning of Plasmonic Properties by Design”), scientists used plasmon engineering to control the optical and electronic properties of silicon.

Physicists take big step in race to quantum computing

A team of physicists from the Harvard-MIT Center for Ultracold Atoms and other universities has developed a special type of quantum computer known as a programmable quantum simulator capable of operating with 256 quantum bits, or “qubits.”

The system marks a major step toward building large-scale quantum machines that could be used to shed light on a host of complex quantum processes and eventually help bring about real-world breakthroughs in material science, communication technologies, finance, and many other fields, overcoming research hurdles that are beyond the capabilities of even the fastest supercomputers today. Qubits are the fundamental building blocks on which quantum computers run and the source of their massive processing power.


No Thinking Machines

Current AI models and research assume that you can recreate consciousness using equations and logical procedures. But they are basically systems of equations and feedback. They work well when they are trained, but only under very strict boundary conditions.

So-called Artificial General Intelligence (the one supposed to imitate a human brain) is probably decades away, if it ever happens.

AI is one of those complex topics and hoaxes used by the media such as Quantum Computing, Climate Change, etc. to scare people, influence politics, and extract money from the productive economy.

AI hysteria could set the technology back by decades


Public Key Systems in Cryptography

Cryptography today is based on veteran public key systems:

– Diffie-Hellman (1976).
– RSA (1977)
– Elliptical Curves (1985).

Elliptic curve cryptography is the most advanced cryptographic system available. Elliptic curves are rapidly replacing RSA as the gold standard for public key cryptography.

But all of them are more than 30 years old, and in fact the Elliptical Curves one has started to be implanted in a massive way now. Over time, we should see these systems in decline.

This in the case of symmetric cryptography and hash functions should theoretically be revised (at least duplicated) to prevent the effect of quantum computers. Although the time frame for this to happen is probably much longer than what is being published.

Neural's guide to the glorious future of AI: Here's how machines become sentient – TNW

Welcome to Neural’s guide to the glorious future of AI. What wonders will tomorrow’s machines be capable of? How do we get from Alexa and Siri to Rosie the Robot and R2D2? In this speculative science series we’ll put our optimist hats on and try to answer those questions and more. Let’s start with a big one: The Singularity.

The future realization of robot lifeforms is referred to by a plethora of terms – sentience, artificial general intelligence (AGI), living machines, self-aware robots, and so forth – but the one that seems most fitting is “The Singularity.”

Rather than debate semantics, we’re going to sweep all those little ways of saying “human-level intelligence or better” together and conflate them to mean: A machine capable of at least human-level reasoning, thought, memory, learning, and self-awareness.


Criptografía ECDSA y Computación Cuántica

Los ordenadores clásicos no pueden romper ECDSA mediante ataques de fuerza bruta. No hay energía suficiente en el Sol por ejemplo para adivinar de forma correcta una sóla de las claves.

Pero un computador cuántico (de existir) puede usar un Algoritmo Shor para reconstruir una clave privada desde una clave pública. El problema: la computación cuántica es ciencia ficción.

En torno a la mitad de las direcciones BTC se hacen públicas, ya que cuando alguien envía dinero en BTC o ETH, la clave pública de la dirección pagadora se revela, y almacena para siempre en la BC.

Por tanto en algún momento del futuro todas esas direcciones corren el riesgo de ser hackeadas mediante computación cuántica.

The Quantum Computing Hoax

Quantum computing has failed to deliver something for about 40 years now. Any other technology with such a results would have been already scrapped. Due to fundamental physical limitations, QCs will never scale the way digital computers did for a long time.

But for some reason there are lots of clueless people that think this is magic and will suddenly scale. There are lots of indications this is not going to happen in the near-medium term at all.

To break modern encryption you need to test algorithms which have a surface are of 2exp1000 which makes a million monkeys on typewriters for a million years look like basic arithmetic.

Will Quantum Mechanics Produce the True Thinking Computer? – Walter Bradley Center for Natural and Artificial Intelligence

Some hope that quantum mechanics can explain human consciousness.

Maybe we are all quantum computers but don’t know it? Maybe quantum computers could think like people?

There is an odd relationship between the human mind and quantum mechanics, the science of entities like electrons that are too small to be governed by ordinary physics.

Some aspects of consciousness appear to be mediated by such elementary particles. Science writer Philip Ball explains,

Nobody understands what consciousness is or how it works. Nobody understands quantum mechanics either. Could that be more than coincidence?

Quantum mechanics is the best theory we have for describing the world at the nuts-and-bolts level of atoms and subatomic particles.


Opinion: It's arrogant to assume humans will never imbue AI with consciousness – TNW

Cogito, ergo sum,” Rene Descartes. Translation: “I think, therefore I am.”

What makes us, us? How is it that we’re able to look at a tree and see beauty, hear a song and feel moved, or take comfort in the smell of rain or the taste of coffee? How do we know we still exist when we close our eyes and lie in silence? To date, science doesn’t have an answer to those questions.

In fact, it doesn’t even have a unified theory. And that’s because we can’t simulate consciousness. All we can do is try to reverse-engineer it by studying living beings. Artificial intelligence, coupled with quantum computing, could solve this problem and provide the breakthrough insight scientists need to unravel the mysteries of consciousness. But first we need to take the solution seriously.