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Showing posts with label quantum. Show all posts
Showing posts with label quantum. Show all posts

Saturday, July 29, 2023

Quantum Twist on Common Computer Algorithm Promises Speed Boost

Quantum Twist on Common Computer Algorithm Promises Speed Boost

By New Scientist, July 14, 2023

An IBM quantum computer.

Mazzola stresses the team is not yet claiming quantum advantage; the result demonstrates future potential, rather than current ability.

Credit: IBM

Scientists at Switzerland's University of Zurich (UZH) and IBM have demonstrated that a quantum version of the popular Monte Carlo algorithm could eventually overtake versions running on classical computers.

However, the researchers explained, attaining this speed advantage would probably require a quantum system with at least 1,000 quantum bits.

Said UZH's Guglielmo Mazzola, "If this works, it's going to enhance, by a lot, the way in which we model systems and that, in turn, will allow us to make better predictions in a wide range of fields."

However, he acknowledged that "we cannot exclude that our classical friends can devise something even better."

From New Scientist

View Full Article

 

Tuesday, June 27, 2023

New Source of Quantum Light

This seems quite exciting.   On the list to know more.. 

Researchers Develop New Source of Quantum Light

By MIT News, June 26, 2023

A perovskite nanocrystal.

Using light instead of physical objects as basic qubit units would eliminate the need for complex, expensive equipment to control the qubits and enter and extract data from them.

Credit: Alexander Kaplan et al

Using novel materials that have been widely studied as potential new solar photovoltaics, researchers at MIT have shown that nanoparticles of these materials can emit a stream of single, identical photons.

While the work is currently a fundamental discovery of these materials' capabilities, it might ultimately pave the way to new optically based quantum computers, as well as possible quantum teleportation devices for communication, the researchers say. The results appear today in the journal Nature Photonics, in a paper by graduate student Alexander Kaplan, professor of chemistry Moungi Bawendi, and six others at MIT.

Most concepts for quantum computing use ultracold atoms or the spins of individual electrons to act as the quantum bits, or qubits, that form the basis of such devices. But about two decades ago some researchers proposed the idea of using light instead of physical objects as the basic qubit units. Among other advantages, this would eliminate the need for complex and expensive equipment to control the qubits and enter and extract data from them. Instead, ordinary mirrors and optical detectors would be all that was needed.

From MIT News

View Full Article  

Sunday, June 25, 2023

Microsoft Looks to Speed Up Materials Science Research with Quantum-Compatible System

 Microsoft Looks to Speed Up Materials Science Research with Quantum-Compatible System

Nextgov

Alexandra Kelley, June 21, 2023

Microsoft's newly announced Azure Quantum Elements system aims to support and emulate properties of future quantum computing technologies so researchers can sift through molecules' constituent atom combinations to accelerate materials discovery. The system is designed to interoperate with a future scaled quantum computer and engineered to coordinate with a quantum computer to run accurate models for testing atom combinations. Microsoft said the system would help scientists refine which combinations yield useful molecules via artificial intelligence and machine learning algorithms trained on large datasets. Microsoft CEO Satya Nadella said, "Our goal is to compress the next 250 years of chemistry and materials science progress into the next 25."

Saturday, June 17, 2023

Quantum Computing Advance Begins New Era: IBM

Next?

Quantum Computing Advance Begins New Era: IBM

The New York Times

Kenneth Chang, June 14, 2023

IBM researchers simulated the behavior of 127 atom-scale bar magnets in a magnetic field using a 127-qubit quantum processor, generating better answers for the Ising model than a conventional supercomputer. Using error mitigation, the researchers added and varied the amount of additional quantum noise to assess its impact. IBM's Abhinav Kandala explained, "Once we have results of these different noise levels, we can extrapolate back to what the result would have been in the absence of noise." The calculation was performed 600,000 times, each taking less than a thousandth of a second. University of California, Berkeley physicists determined that the quantum algorithm used was more accurate than classical algorithms for complex but solvable configurations of the Ising model.

Full Article

Monday, May 29, 2023

A Boost for the Quantum Internet

 A Boost for the Quantum Internet

Universitat Innsbruck (Austria)

May 23, 2023

Researchers at Austria's University of Innsbruck transmitted quantum information with a quantum repeater node operating at telecommunication networks' standard frequency. The repeater node features two calcium ions contained in an ion trap within an optical resonator, and single-photon conversion to the standard telecom wavelength. The researchers were able to transmit quantum information over a 50-kilometer (31-mile)-long optical fiber, with the quantum repeater positioned halfway between the transmission and reception points. The researchers said they already have calculated the design upgrades that will be required to transfer data across distances of 800 kilometers (nearly 500 miles).  ....'

Friday, May 12, 2023

NIST on Post Quantum

Schneier mentions with draft further comments.  Key developments.

NIST has release a draft of Special Publication1800-38A: Migration to Post-Quantum Cryptography: Preparation for Considering the Implementation and Adoption of Quantum Safe Cryptography.” It’s only four pages long, and it doesn’t have a lot of detail—more “volumes” are coming, with more information—but it’s well worth reading.

We are going to need to migrate to quantum-resistant public-key algorithms, and the sooner we implement key agility the easier it will be to do so.

News article.

Wednesday, May 10, 2023

How does Quantum Computing Impact the Finance Industry?

Intriguing connection ...

How does Quantum Computing Impact the Finance Industry?

By Cointelegraph May 5, 2023

QCs in banking can be a game changer due to the potential of multiplying the speed and volume of calculations and transactions.

Based on the World Economic Forum's estimate from 2022, national governments have invested more than $25 billion in quantum computing research, and over $1 billion in venture capital deals were closed in the previous year. Quantum computers (QCs) are in the early stages of development, and there are many technical challenges that need to be overcome before they can become practical tools for everyday use.

Nevertheless, they have already demonstrated great potential for applications in a wide range of fields. QCs have the ability to solve complex mathematical problems exponentially faster than classical computers, making them ideal for several complex tasks. The finance industry is one of the first runners in testing the technology. However, from the military to pharmaceuticals, logistics and manufacturing companies, several industries are experimenting with QC.

The mentioned features of QCs can have an enormous impact on the future of financial services. There are several tasks where financial forecasting and financial modeling can be supported by QCs for faster and more accurate processes. Notably, portfolio optimization, risk management and asset pricing are some of the most mentioned examples. However, their potential advantages and threats to cryptography make it important for financial service providers to monitor the technology.

Collaboration is crucial in the area of QCs due to the fact that technology and software development enable the revolution. Accelerating programs are initiated by the largest tech companies for experimentation with their hardware, software or cloud solutions, such as IBM, Microsoft, Google or Amazon.

From Cointelegraph

View Full Article   

Saturday, March 11, 2023

I Believe Chatbots Understand Part of What they say. Let me Explain.

Physicist Sabine Hossenfelder does a good job in comparing the understanding exhibited by chatbot  with our understanding of quantum Mechanics, along the way describes the 'Chinese Room' model used in early AI thoughts.    Once Again, some great thoughts.  She writes: 

I believe chatbots understand part of what they say. Let me explain. 

Youtube:  https://www.youtube.com/watch?v=cP5zGh2fui0

Do Chatbots Understand YOU?      By Sabine Hossenfelder

Subscribed  5.8K   27,823 views  Mar 11, 2023 

Try out my quantum mechanics course (and many others on math and science) on Brilliant using the link https://brilliant.org/sabine. You can get started for free, and the first 200 will get 20% off the annual premium subscription.

I used to think that today's so-called "artificial intelligences" are actually pretty dumb. But I've recently changed my mind. In this video I want to explain why I think that they do understand some of what they do, if not very much. And since I was already freely speculating, I have added some thoughts about how the situation with AIs is going to develop.

  @sabinehossenfelder  

00:00 Intro

01:15 The Chinese Room

03:05 The Quantum Room

04:14 How Do Chatbots Learn?

07:15 What Does "Understanding" Mean?

15:46 Do We "Understand" Quantum Mechanics?

18:21 Where Will The AI Boom Lead Us?

20:30 Check Out My Quantum Mechanics Course

............

💌 Support us on Donatebox ➜ https://donorbox.org/swtg

👉 Transcript and References on Patreon ➜ https://www.patreon.com/Sabine

📩 Sign up for my weekly science newsletter. It's free!  ➜ https://sabinehossenfelder.com/newsle...

🔗 Join this channel to get access to perks ➜ 

#science #philosophy

Saturday, February 18, 2023

Quantum Breakthrough Could Revolutionise computing

Multi tasking quantum?

Quantum breakthrough could revolutionise computing   in the BBC

Twenty years ago Winfried Hensinger was told by other scientists that developing a powerful quantum computer was impossible. Now he has made the system behind him that he believes will prove them wrong    By Pallab Ghosh, Science correspondent

Scientists have come a step closer to making multi-tasking 'quantum' computers, far more powerful than even today's most advanced supercomputers.

Quantum computers make use of the weird qualities of sub-atomic particles.

So-called quantum particles can be in two places at the same time and also strangely connected even though they are millions of miles apart.

A Sussex University team transferred quantum information between computer chips at record speeds and accuracy.

The researchers connected two chips together and sent record amounts of quantum information at unprecedented speeds and reliability

Computer scientists have been trying to make an effective quantum computer for more than 20 years. Firms such as Google, IBM and Microsoft have developed simple machines. But, according to Prof Winfried Hensinger, who led the research at Sussex University, the new development paves the way for systems that can solve complex real world problems that the best computers we have today are incapable of.

"Right now we have quantum computers with very simple microchips," he said. "What we have achieved here is the ability to realise extremely powerful quantum computers capable of solving some of the most important problems for industries and society."  ... ' 

Tuesday, January 17, 2023

Microlaser Chip Adds Dimensions to Quantum Communication

Discovered late through an alumni connection ... 

Microlaser Chip Adds Dimensions to Quantum Communication

Penn Engineering Today

Devorah Fischler,  November 21, 2022 

A multi-institutional team led by researchers at the University of Pennsylvania School of Engineering and Applied Science (Penn Engineering) developed a chip that doubles the quantum information space of any previous on-chip laser by communicating in qudits (quantum bits in a state of superposition greater than two levels). The hyperdimensional microlaser-produced qudits boost the maximum secrete key rate for information exchange from 1 bit to 2 bits per pulse, supporting four levels of superposition and clearing a path for further dimensional enlargement. The researchers realized the four-level system by devising a method to manipulate and couple the orbital angular momentum and spin of photons.

Full Article

Saturday, January 14, 2023

China's New Quantum Code-breaking Algorithm Raises Concerns in the US

More on this direction ... 

China's new quantum code-breaking algorithm raises concerns in the US  in InterestingEngineering

The new algorithm could render mainstream encryption powerless within years.

By Baba Tamim, Created: Jan 12, 2023 in NYT

Chinese researchers claim to have introduced a new code-breaking algorithm that, if successful, could render mainstream encryption powerless within years rather than decades.

The team, led by Professor Long Guilu of Tsinghua University, proclaimed that a modest quantum computer constructed with currently available technology could run their algorithm, South China Morning Post (SCMP) reported on Wednesday. 

The "new algorithm could dramatically reduce the scale of a practical quantum computer to 372 qubits – even less than that of Osprey [most powerful quantum processor in the world]," said the researchers in a non-peer-reviewed study. 

Large-number factoring, a challenging process for conventional computers, can be accelerated by quantum computers to break codes quickly.

However, it is generally accepted that in order to breach a bank account secured by cutting-edge encryption, such a machine would need to manage millions of qubits, the fundamental building block of quantum information.

The new technique

The new technique developed by the Chinese team has the potential to drastically lower the size of a practical quantum computer to 372 qubits, noted the SCMP report.

This is even less than IBM's Osprey, the most potent quantum computer in the world, which only has 433 qubits and is incapable of cracking codes.

The Chinese researchers argue that their new algorithm, called sublinear-resource quantum integer factorization (SQIF), can decipher data encrypted with RSA-2048.  ... ' 

Friday, January 13, 2023

Quantum Computing Architecture Could Connect Large-Scale Devices

 Architecture from MIT, superconducting quantum chips 

Quantum Computing Architecture Could Connect Large-Scale Devices

MIT News, Adam Zewe, January 5, 2023

A new quantum computing architecture developed by Massachusetts Institute of Technology (MIT) scientists can facilitate extensible, high-fidelity communication between superconducting quantum chips. The architecture can be used to thread multiple processing modules along one waveguide; MIT's Bharath Kannan said the same module can function as both transmitter and receiver. The researchers have demonstrated the deterministic emission of single photons in a user-specified direction with more than 96% fidelity. Said Kannan, "The ability to communicate between smaller subsystems will enable a modular architecture for quantum processors, and this may be a simpler way of scaling to larger system sizes compared to the brute-force approach of using a single large and complicated chip."  .... 

Monday, January 09, 2023

New Algorithm Closes Quantum Supremacy Window

Scaling Solutions, Quantum Supremacy?

New Algorithm Closes Quantum Supremacy Window

Random circuit sampling, a popular technique for showing the power of quantum computers, doesn’t scale up if errors go unchecked.

By Ben Brubaker Staff Writer  in QuantumMagazine

Introduction

In what specific cases do quantum computers surpass their classical counterparts? That’s a hard question to answer, in part because today’s quantum computers are finicky things, plagued with errors that can pile up and spoil their calculations.

By one measure, of course, they’ve already done it. In 2019, physicists at Google announced that they used a 53-qubit machine to achieve quantum supremacy, a symbolic milestone marking the point at which a quantum computer does something beyond the reach of any practical classical algorithm. Similar demonstrations by physicists at the University of Science and Technology of China soon followed.

But rather than focus on an experimental result for one particular machine, computer scientists want to know whether classical algorithms will be able to keep up as quantum computers get bigger and bigger. “The hope is that eventually the quantum side just completely pulls away until there’s no competition anymore,” said Scott Aaronson, a computer scientist at the University of Texas, Austin.

That general question is still hard to answer, again in part because of those pesky errors. (Future quantum machines will compensate for their imperfections using a technique called quantum error correction, but that capability is still a ways off.) Is it possible to get the hoped-for runaway quantum advantage even with uncorrected errors?  ....   ' 

Saturday, December 10, 2022

Researchers Develop Scaled-up Spintronic Probabilistic Computer

 OK, technically new to me, but worth a tag here.    I note mention of 'Simulated Quantum Annealing Algorithm'  which was demonstrated to us.  Will follow with further examples as found.

Researchers Develop Scaled-up Spintronic Probabilistic Computer

Tohoku University (Japan), December 7, 2022

Scientists at Japan's Tohoku University, Italy's University of Messina, and the University of California, Santa Barbara have engineered a scaled-up probabilistic computer (p-computer) with stochastic spintronic devices. The researchers demonstrated how stochastic magnetic tunnel junction (sMTJ)-based probabilistic bits (p-bits) can be integrated with field-programmable gate arrays (FPGAs) to implement larger p-bit networks in hardware. They also executed a simulated quantum annealing algorithm in heterogeneous MTJ + FPGA p-computers with systematic assessments for hard combinatorial optimization problems. The researchers benchmarked sMTJ-based p-computer performance against that of classical computing hardware, including graphics processing units and Tensor Processing Units, and found it yields superior throughput and power consumption compared to conventional technologies.

Monday, November 28, 2022

Does Consciousness Change the Rules of Quantum Mechanics?

 Hmm... 

Does consciousness change the rules of quantum mechanics?

Maybe our understanding of quantum entanglement is incomplete, or maybe there is something fundamentally unique about consciousness.

In the past few years, scientists have shown that macroscopic objects can be subjected to quantum entanglement. Pondering the limits of quantum entanglement allows us to consider how quantum mechanics can be unified with physics on a larger scale. There might be something unique about our role as conscious observers of the world around us.

Elizabeth Fernandez

Copy a link to the article entitled 

This is the fourth article in a four-part series on quantum entanglement. In the first, we discussed the basics of quantum entanglement. We then discussed how quantum entanglement can be used practically in communications and sensing. In this article, we take a look at the limits of quantum entanglement, and how entanglement on the large scale might even challenge our very basis of reality.

We can all agree that quantum entanglement is weird. We don’t worry too much about it, though, beyond some of its more practical applications. After all, the phenomenon plays out on scales that are vastly smaller than our everyday experiences. But perhaps quantum mechanics and entanglement are not limited to the ultra-small. Scientists have shown that macroscopic (albeit small) objects can be placed in entanglement. It begs the question: Is there a size limit for quantum entanglement? Carrying the idea further, could a person become entangled, along with their consciousness? 

Asking these questions not only lets us probe the limits of quantum mechanics, but it could also lead us to a unified theory of physics — one that works equally well for anything from electrons to planets. ... ' 

Sunday, November 27, 2022

AI is Solving Classical Computing's Quantum Problem

 Intriguing mix of domains.

AI is Solving Classical Computing's Quantum Problem  By R. Colin Johnson, Commissioned by CACM Staff, November 22, 2022

The number of equations that need to be solved to fully describe the many-body problem of the quantum interactions among this many pixels is 100,000. 

By running clever AI neural networks that analyze the similarities among interactions, the number of equations that need to be solved to fully describe the many-body problem of quantum interactions can be reduced to solving just four.

Artificial intelligence (AI)—in particular, machine learning (ML)— recently began to solve problems for which quantum computers are targeted, according to researchers at the California Institute of Technology (CalTech), the Flatiron Institute (New York City), and IBM (Yorktown Heights, NY).

"ML cannot emulate every quantum algorithm," said Hsin-Yuan Huang, a quantum information theorist at CalTech, "but ML can emulate more quantum algorithms than classical algorithms that do not have learning abilities. For example, to solve the problem of finding quantum ground states [lowest energy levels], one typically wants to use adiabatic [thermodynamic] quantum algorithms. But we've proven that a classical ML model can learn from data to predict these ground states efficiently."

Quantum computers, once thought to be "superior" to classical computers, increasingly are being seen as yet another accelerator for specialized problems, according to IBM, which is developing what it calls neuro-symbolic AI—an ML method using classical computer hardware. IBM also is experimenting with hyperdimensional ML accelerators to work alongside classical computer hardware. These alternative accelerator architectures are being developed in parallel with its continued development of quantum computer accelerators for classical computers.

"Quantum computers will never reign 'supreme' over classical computers, but [like other accelerator architectures] will rather work in concert with them, since each have their unique strengths," according to IBM Research's Jay Gambetta, John Bunnels, Dmitri Maslov, and Edwin Penault, who wrote an IBM Research Blog post in 2019 arguing that the claim of quantum "supremacy" over classical computers is flawed.

The Classical Advantage

More recently, physicists at New York City's Flatiron Institute, in association with the University of Bologna, Italy, reported a 25,000-times speed-up in solving a daunting quantum problem using classical computers accelerated by ML. The Flatiron Institute research, led by visiting researcher Domenico Di Sante, demonstrated a solution to the quantum physics many-body problem that future quantum computers will aim to solve, but which classical computers struggle with today. By harnessing AI along with classical computer algorithms, the Flatiron Institute researchers reduced the problem of solving 100,000 coupled differential equations to just four.

Explained Di Sante, an assistant professor of the University of Bologna currently in residence at the Flatiron Institute's Center for Computational Quantum Physics, "Differential equations form the language used to model almost all physical phenomena in both the classical and the quantum world, from weather forecasts to the evolution of the universe to the dynamics of quantum electrons and subnuclear particles. All ambits of physical modeling benefit from tackling the problem of a large number of coupled differential equations. In this sense, our new data-driven approach to compress the complexity of many-body problems will be helpful to both classical and quantum fields."

Since classical computers using Di Sante's ML algorithms can simplify the solution of problems previously thought to require future quantum computers to solve efficiently, its accomplishment mitigates the need for full-blown universal quantum computers.

"Efficiently solving for the effective interaction among many-particles is a big deal in quantum physics, especially for interactions within quantum materials. It saves memory, computational power, and offers physical insight. Our work demonstrates how ML and quantum physics intersect constructively. It is difficult to quantify what will be our work's direct impact on quantum computers, but that field is facing the same problem—large, high-dimensional data sets that need compression in order to manipulate and study efficiently," said Di Sante. "I would love to discover that our more-efficient solution method can shed light onto the intricate nature of future quantum computer architectures." 

One caveat to Di Sante's approach is that the entire body of 100,000 equations must first be solved (which, in this example, took weeks of classical computer time). His ML algorithm then derived from that solution the smallest set of equations that could provide a specified level of accuracy. Hopefully, now that the ML algorithm has been constructed, future tweaking of it will enable the group to solve similar quantum problems without requiring weeks of preliminary computer time.  .... '

Friday, November 25, 2022

Quantum Microscope Soon?

Intro, see also in Sabine Hossenfelder's  Youtube here:  https://youtu.be/fkXSCNDfj14   Where she points to a paper https://doi.org/10.1038/s41586-021-03528-w  suggesting early prototype designs.  

The quantum microscope revolution is here    in CosmosMagazine   By Lauren Fuge 

New entanglement-based sensor surpasses light-based microscopes.

University of Queensland researchers have built a quantum microscope based on the strange phenomenon Albert Einstein once called “spooky action at a distance”.

This new device takes advantage of quantum entanglement to illuminate living samples safely – unlike conventional microscopes, which use potentially damaging high-intensity light. Warwick Bowen, a quantum physicist at the University of Queensland, says this is the first entanglement-based sensor that supersedes non-quantum technology.

“This is exciting – it’s the first proof of the paradigm-changing potential of entanglement for sensing,” says Bowen, who is lead author on the new paper published in Nature.

Since their invention in the seventeenth century, traditional light-based microscopes have revolutionised our understanding of life by revealing the microscopic structures and behaviours of living systems. The field of microscopy took a big leap when lasers were introduced to more brightly illuminate samples; some recent technologies have even been able to peer down to resolutions nearly at the scale of atoms.

But the best microscopes are limited by the “noisiness” of photons – the tiny packets of energy that make up light. The random times at which individual photons hit a detector introduces noise, which affects the sensitivity, resolution and speed of microscopes. The noise can be reduced by increasing the intensity of light – which fries cells.

“The best light microscopes use bright lasers that are billions of times brighter than the sun,” Bowen explains. “Fragile biological systems like a human cell can only survive a short time in them

“We’re hitting the limits of what you can do just by increasing the intensity of your light.”

Bowen and team’s new microscope may just kickstart the next revolution in microscopy, because they’ve evaded these limitations by introducing quantum entanglement.

But how does this device actually work? Well, it’s down to quantum physics, so buckle in.

Quantum entanglement is a strange beast to get your head around. The idea is that two particles can become “entangled”, or linked, and will thereafter always mirror each other’s properties – what happens to one instantly happens to the other, even if they’re light-years apart. This instantaneous coordination seems to rebel against common sense; physicists don’t yet know exactly how this works, only that it does.

And this phenomenon can be harnessed in microscopy.

Physicists have known for a while that quantum correlations can be used to extract information from photons – in fact, these correlations used to improve laser interferometric gravitational wave detectors like LIGO, among many other things. They even suspected that quantum correlations could help improve microscopy, but until now they couldn’t build bright enough light sources with quantum correlations that could be interfaced with a microscope.

“However, all previous experiments used optical intensities more than 12 orders of magnitude lower than those for which biophysical damage typically arises, and far below the intensities typically used in precision microscopes,” the authors explain in their paper.

This new set-up uses a coherent Raman scattering microscope – existing technology that probes the vibrational signals of living molecules, giving specific information about their chemical makeup.

But the team custom-designed the microscope so quantum correlations improved the light source illuminating the sample, making the light extremely “quiet”.

“What entanglement allows us to do is basically train the photons in that light so that they arrive at the detector in a nice uniform sort of way,” Bowen says.

This is achieved using a “non-linear crystal”, which changes the light passing through; instead of a normal laser beam they used “squeezed light”, where the photons are intrinsically correlated. This reduced the amplitude of the light and, in turn, reduced the noise.

Uq's quantum microscope

UQ’s quantum microscope. Credit: the University of Queensland

For a fixed intensity of light, the set-up results in a higher signal-to-noise ratio and therefore higher contrast in the microscope. They were able to image a cell wall of yeast – around 10 nanometres thick.

“We could resolve a much larger region of that cell wall using quantum correlations than was possible using conventional microscopy, without destroying the cell,” Bowen explains.

The team were able to enhance the signal-to-noise ratio by 35%.”

“This removes a fundamental barrier to advances in coherent Raman microscopy and high-performance microscopy more broadly,” they write in their paper.

Bowen comments: “We’re really excited about it because it shows, for the first time, that it is possible to use quantum light to get an absolute advantage in microscopy – to measure something you could not measure in any other way.”

Sergei Slussarenko, a quantum physicist at Griffith University who was not involved in the study, says this is a great achievement. .... '

Sunday, November 20, 2022

IBM Quantum State of the Union

Good status info:  

An update on the IBM Quantum mission to bring useful quantum computing to the world, and to make the world quantum safe. Covering remarkable performance breakthroughs driven by software and hardware innovations, new system designs, roadmap updates, and much more. Led by Jay Gambetta, IBM Fellow and Vice President of IBM Quantum, and the IBM Quantum leadership team.     https://youtu.be/nZu5hutqANk  

For more about the announcements made at the IBM Quantum Summit 2022: https://www.ibm.com/quantum/summit

Thursday, November 17, 2022

Quantum Computing Modalities

Useful intro ...

Quantum Computing Modalities – A Qubit Primer Revisited  in QuanTumtech

In December 2021, in an early iteration of this Blog, I described the various qubit modalities in use by some of the Quantum Computing (QC) hardware players.  A lot has happened since that post, so I thought it would be constructive to revisit the topic.

When that earlier post was published (click here if interested in reviewing), it described 10 leading quantum hardware companies focusing on four core qubit types (superconducting, trapped ions, photonics and quantum dots).  Today there are dozens of quantum hardware companies, a few additional common modalities (notably neutral atoms) and significant advances made across the spectrum.

Qubit Dynamics

While many articles describing and comparing QCs focus on the number of qubits, this core number belies the complexity in comparing actual QC performance due to additional limitations described below.  Qubit count is the equivalent of only using horsepower to describe a car.  While horsepower is an important metric, most car buyers are equally if not more focused on comfort, handling, fuel economy, styling, etc.  Some effort has been made to “consolidate” these variables for QC into a single performance metric (such as Quantum Volume, CLOPS (circuit layer operations per second) or QED-C’s Benchmarks), although no single measurement has yet been adopted by the broad QC ecosystem.  For the casual reader, I’d caution you to not focus too much on the number of qubits a given QC has.  While “more is better” is generally a useful mantra, as you’ll see below, it is not that simple.

As you may know or recall, placing qubits in a superposition (both “0” and “1” at the same time) and entangling multiple qubits where one is dependent on the status of the other (entanglement) are two fundamental quantum properties which help empower Quantum Computers and allow them to perform certain calculations that can’t easily be executed on traditional computers.  Before we review the various types of qubits (i.e., quantum hardware platforms), it may be helpful to summarize some of the limitations faced when placing qubits in superposition and/or entangling multiple qubits, and discuss the key metrics used to measure these properties. ...    "

Saturday, November 12, 2022

Can We Secure Cryptography Against Quantum Attacks?

Key Issue.   Considerable tech depth here by leaders in the field. 

Can We Secure Cryptography Against Quantum Attacks?, By Bennie Mols

Commissioned by CACM Staff, November 10, 2022

The HLF post-quantum cryptography panel.

The Heidelberg Laureate Forum post-quantum cryptography panel. From left, Whitfield Diffie, Vinton G. Cerf, Adi Shamir, Vadim Lyubashevsky, and Gregor Seiler.

While a useful quantum computer is still under development, it already is known that when adversaries will start to use it, today's public-key cryptography will be broken. To protect digital information and services against attacks with a quantum computer, a new type of cryptography is needed: post-quantum cryptography.

The 9th Heidelberg Laureate Forum organized a panel discussion on post-quantum cryptography that included three Turing Award recipients: Adi Shamir (the S in RSA), Whitfield Diffie (of the Diffie-Hellman key exchange protocol), and Vint Cerf (co-developer of the TCP/IP Internet protocol suite). They were accompanied by two research scientists at IBM Research Europe in Zürich, Switzerland, from a younger generation: Vadim Lyubashevsky and Gregor Seiler, who contributed to the design and implementation of some of the cryptographic schemes selected by the U.S. National Institute of Standards and Technology (NIST) in July 2022 as upcoming standards for public-key encryption and digital signatures.

In the six years since NIST first called upon cryptographers for ways to protect information from quantum computing, they have come up with what they refer to as quantum-resistant algorithms. How can we know for certain that quantum computers are unable to break those algorithms?

The panelists agreed there is no mathematical proof that demonstrates the new algorithms can't be broken by a quantum computer; it is just that cryptographers can make that claim plausibly because it would be extremely hard to accomplish, said Lyubashevsky, "We base a cryptographic standard on a mathematical problem, and we have a lot of people working to solve that problem. If they can't solve it, we think it is secure. One can't expect anything more."

Shamir agreed, adding that he was a bit concerned that the new schemes chosen by NIST are all based on the same type of mathematics, called lattices. "In some sense, we are putting all eggs in the same basket, but that is the best we have."

Diffie pointed out that "So far, we have failed to develop a complexity theory that gives us real confidence in cryptography. But if you look at the history of the field, you have lifetimes for crypto systems that run into decades."

While a practical quantum computer still does not exist, and it looks like it might take another 20 to 30 years to achieve one, then how quickly do we need to implement post-quantum cryptographic standards?

"The real danger is that somebody is going to record the encrypted texts which are being used today," said Shamir. "But in 20 years' time, they will be able to use their future quantum computers in order to look back and decipher messages from the past. So, anyone who has long-term, high-level secrets, like governments, should be worried. They should not use RSA any more, but one of the new standards."

"There is another good reason to make the switch now," said Seiler, "even if someone doesn't need data to be secure for a very long time. That is because it takes a long time to deploy cryptography in large systems, like the Internet. Standards have to be changed and implemented; people have to be trained. So, even if we still have to wait a while for the quantum computer, it might be too late if we wait on switching to more secure cryptography."

The fact that computing is becoming more distributed, and thus more complicated, is another argument for not delaying the switching of standards, said Lyubashevsky. "With distributed computing, everyone has to go in it by themselves and do this switch, and if they don't, it all collapses.

"We are moving in a direction where more people will be responsible for their own data because they don't trust anybody else with it. But if we want to do distributed computing combined with cryptography in the future, we have to hurry up." ...  '