ROLE OF QUANTUM COMPUTING AND AI IN HEALTHCARE INDUSTRY

QUANTUM COMPUTING AND AI HELP THE HEALTHCARE INDUSTRY TRANSFORM BIG TIME

by Madhurjya Chowdhury

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 generation’s main achievements. Medical research has progressed at a breakneck pace, extending life expectancy all around the world.

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Quantum computers to explore precision oncology

Quantum processors can potentially tackle massive calculations at speed

By Alison Abbott 

Life scientists are preparing to test quantum computers for applications beyond computational chemistry, such as selecting responders to cancer therapies.

Cancer researchers will be among the first to test the potential of Europe’s first IBM quantum computer, which was unveiled in Germany this summer. The 27-qubit IBM Q System One is among the most powerful commercial quantum computers in Europe. Based at IBM’s German headquarters in Ehningen, near Stuttgart, it is jointly operated by IBM and the Fraunhofer Society, Germany’s multidisciplinary applied research organization headquartered in Munich. The Fraunhofer Society is making the quantum computer available to researchers wishing to test ideas for practical applications of quantum computers, including in life sciences.

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Exotic New Material Could Be Two Superconductors in One – With Serious Quantum Computing Applications

Work has potential applications in quantum computing, and introduces new way to plumb the secrets of superconductivity.

MIT physicists and colleagues have demonstrated an exotic form of superconductivity in a new material the team synthesized only about a year ago. Although predicted in the 1960s, until now this type of superconductivity has proven difficult to stabilize. Further, the scientists found that the same material can potentially be manipulated to exhibit yet another, equally exotic form of superconductivity.

The work was reported in the November 3, 2021, issue of the journal Nature.

The demonstration of finite momentum superconductivity in a layered crystal known as a natural superlattice means that the material can be tweaked to create different patterns of superconductivity within the same sample. And that, in turn, could have implications for quantum computing and more.

The material is also expected to become an important tool for plumbing the secrets of unconventional superconductors. This may be useful for new quantum technologies. Designing such technologies is challenging, partly because the materials they are composed of can be difficult to study. The new material could simplify such research because, among other things, it is relatively easy to make.

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‘Giant atoms’ May Create All-in-One Quantum Processing and Communication

By Matt Swayne

MIT News reports that researchers have introduced a quantum computing architecture that can perform low-error quantum computations while also rapidly sharing quantum information between processors. The work represents a key advance toward a complete quantum computing platform.

Before, small-scale quantum processors have successfully performed tasks at a rate exponentially faster than that of classical computers. However, it has been difficult to controllably communicate quantum information between distant parts of a processor. In classical computers, wired interconnects are used to route information back and forth throughout a processor during the course of a computation. In a quantum computer, however, the information itself is quantum mechanical and fragile, requiring fundamentally new strategies to simultaneously process and communicate quantum information on a chip.

“One of the main challenges in scaling quantum computers is to enable quantum bits to interact with each other when they are not co-located,” says William Oliver, an associate professor of electrical engineering and computer science, MIT Lincoln Laboratory fellow, and associate director of the Research Laboratory for Electronics. “For example, nearest-neighbor qubits can easily interact, but how do I make ‘quantum interconnects’ that connect qubits at distant locations?”

The answer lies in going beyond conventional light-matter interactions.

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A New Quantum Computing Method Is 2,500 Percent More Efficient

And it’s ‘absolutely amazing.’

By  Brad Bergan

We just moved years closer to viable quantum computers.

A company has revealed the results of benchmarking experiments that demonstrate how an advanced error-suppression method increased the probability of success for quantum computing algorithms to succeed on real hardware, according to a press release shared with Interesting Engineering via email.

And the new method increased the likelihood of success by an unprecedented 2,500%.

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China’s New Quantum Computer Has 1 Million Times the Power of Google’s

And they say it’s the world’s fastest.

By  Brad Bergan

It appears a quantum computer rivalry is growing between the U.S. and China.

Physicists in China claim they’ve constructed two quantum computers with performance speeds that outrival competitors in the U.S., debuting a superconducting machine, in addition to an even speedier one that uses light photons to obtain unprecedented results, according to a recent study published in the peer-reviewed journals Physical Review Letters and Science Bulletin.

China has exaggerated the capabilities of its technology before, but such soft spins are usually tagged to defense tech, which means this new feat could be the real deal.

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A Simple Crystal Could Finally Give Us Large-Scale Quantum Computing, Scientists Say

By lenexweb

Vaccine and drug development, artificial intelligence, transport and logistics, climate science – these are all areas that stand to be transformed by the development of a full-scale quantum computer. And there has been explosive growth in quantum computing investment over the past decade.

Yet current quantum processors are relatively small in scale, with fewer than 100 qubits – the basic building blocks of a quantum computer. Bits are the smallest unit of information in computing, and the term qubits stems from “quantum bits”.

While early quantum processors have been crucial for demonstrating the potential of quantum computing, realizing globally significant applications will likely require processors with upwards of a million qubits.

Our new research tackles a core problem at the heart of scaling up quantum computers: how do we go from controlling just a few qubits, to controlling millions? In research published today in Science Advances, we reveal a new technology that may offer a solution.

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Phasecraft makes quantum computing breakthrough

Quantum computing start-up Phasecraft has developed a novel technique for modelling electrons that is said to significantly reduce quantum hardware resources needed to perform simulations.

Published in the Physical Review B journal from the American Physical Society, the study’s method for modelling fermionic particles could hold potential to advance global R&D efforts toward better energy technologies through more efficient and accurate material simulation.

“Many important fields such as chemistry and materials science are concerned with the dynamics of fermion particles in physical systems — in the form of electrons,” said co-leader of the study Charles Derby, a PhD candidate at UCL and Phasecraft team member. 

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New Intel Horse Ridge Cryogenic Chip Offers High-Fidelity Two-Qubit Control: A Major Quantum Computing Breakthrough

By Griffin Davis 

Intel collaborates with QuTech, an advanced research center for quantum internet and quantum computing, to develop a new cryogenic control SoC called the Horse Ridge. The tech giant manufacturer claimed that this new chipset is a breakthrough in quantum computing. 

A “Mistral” supercomputer, installed in 2016, at the German Climate Computing Center (DKRZ, or Deutsches Klimarechenzentrum) on June 7, 2017 in Hamburg, Germany. The DKRZ provides HPC (high performance computing) and associated services for climate research institutes in Germany. Its high performance computer and storage systems have been specifically selected with respect to climate and Earth system modeling.

Right now, researchers and experts are finding it hard to understand quantum computations since they are complex mathematical equations. On the other hand, they also deal with quantum states, specifically superposition and entanglement. 

Because of these, traditional computers are currently unable to perform quantum computations because they don’t have the ability to harness the phenomenon of quantum mechanics. Since this is the case, experts are forced to create quantum supercomputers that are specifically developed to perform quantum computing. 
And now, Intel also developed a new SoC that could be used in these special desktops.

To help you have more idea about it, here are other details of Intel’s new Horse Ridge. 

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Will quantum computing deliver a big leap forward for battery cells?

By Michelle Lewis 

The Cologne-headquartered German Aerospace Center (DLR) and Cambridge Quantum Computing(CQC) in the UK is the latest pair to explore how quantum computing could help create better simulation models for battery development. The DLR is Germany’s research center for aeronautics and space.

As IBM defines it, “Quantum computing harnesses the phenomena of quantum mechanics to deliver a huge leap forward in computation to solve certain problems.”

DLR will use CQC’s quantum algorithms for solving partial differential equation systems to render a one-dimensional simulation of a lithium-ion battery cell.

This will lay the groundwork for exploring multi-scale simulations of complete battery cells with quantum computers, which are considered a viable alternative for rendering full 3D models. A multi-scale approach incorporates information from different system levels (e.g., atomistic, molecular, and macroscopic) to make a simulation more manageable and realistic. That, in turn, will potentially accelerate battery research and development for a variety of sustainable energy solutions.

DLR has previously used classical computer modeling to research a range of different battery types, including lithium-ion and other technologies.

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The World’s Highest Performing Quantum Computer is Here

Our team of scientists, engineers and technicians, have built what is currently the highest performing quantum computer available.

With a quantum volume of 64, the Honeywell quantum computer is twice as powerful as the next alternative in the industry. That means we are closer to industries leveraging our solutions to solve computational problems that are impractical to solve with traditional computers.

“What makes our quantum computers so powerful is having the highest quality qubits, with the lowest error rates.  This is a combination of using identical, fully connected qubits and precision control,” said Tony Uttley, president of Honeywell Quantum Solutions.

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‘We’re hacking the process of creating qubits.’ How standard silicon chips could be used for quantum computing

Quantum Motion’s researchers have shown that it is possible to create a qubit on a standard silicon chip.  Image: Quantum Motion

By Daphne Leprince-Ringuet 

Quantum Motion says that its latest experiment paves the way for large-scale, practical quantum computers.

Forget about superconducting circuits, trapped ions, and other exotic-sounding manufacturing techniques typically associated with quantum computing: scientists have now shown that it is possible to create a qubit on a standard silicon chip, just like those found in any smartphone. 

UK-based start-up Quantum Motion has published the results of its latest experiments, which saw researchers cooling down CMOS silicon chips to a fraction of a degree above absolute zero (-273 degrees Celsius), enabling them to successfully isolate and measure the quantum state of a single electron for a whole nine seconds. 

The apparent simplicity of the method, which taps similar hardware to that found in handsets and laptops, is striking in comparison to the approaches adopted by larger players like IBM, Google or Honeywell, in their efforts to build a large-scale quantum computer. 

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