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Honeywell expects that as advances in quantum computing continue to accelerate over the next 18 to 24 months, the ability to replicate the results of a quantum computing application workload using a conventional computing platform simulation will come to an end.

The companys System Model H1 has now quadrupled its performance capabilities to become the first commercial quantum computer to attain a 512 quantum volume. Ascertaining quantum volume requires running a complex set of statistical tests that are influenced by the number of qubits, error rates, connectivity of qubits, and cross-talk between qubits. That approach provides a more accurate assessment of a quantum computers processing capability that goes beyond simply counting the number of qubits that can be employed.

Honeywell today provides access to a set of simulation tools that make it possible to validate the results delivered on its quantum computers on a conventional machine. Those simulations give organizations more confidence in quantum computing platforms by allowing them to compare results. However, quantum computers are now approaching a level where at some point between 2022 and 2023 that will no longer be possible, Honeywell Quantum Solutions president Tony Uttley said.

Honeywell has pursued an approach to quantum computing that differs from those of rivals by focusing its efforts on a narrower range of more stable qubits. Each system is based on a trapped-ion architecture that leverages numerous individual charged atoms (ions) to hold information. It then applies electromagnetic fields to hold (trap) each ion in a way that allows it to be manipulated and encoded using laser pulses.

The company makes its quantum computers available via a subscription to a cloud service and counts BMW, DHL, JP Morgan Chase, and Samsung among its customers. Systems residing outside of Boulder, Colorado and Minneapolis are made available to customers for up to two weeks at a time before being taken offline for two weeks to add additional capacity.

Subscriptions for the System Model H1 service are currently sold out, and each Honeywell quantum computing customer has previously tried to employ a different platform before switching to Honeywell, Uttley said. The company is now moving toward making a third-generation System Model H2 service available that will offer higher levels of unspecified quantum volume, Uttley added.

Honeywell has committed to delivering a tenfold increase in quantum volume every five years. The company has been able to deliver a fourfold increase in the amount of quantum volume it can make available in the last five months alone, Uttley said.

Quantum computers can process bits that have a value of both 0 and 1 at the same time, which makes them more powerful than conventional computing platforms. Advances in quantum computing, however, will by no means signal the demise of conventional computers, Uttley added. Instead, its becoming apparent that quantum computers and conventional computers are simply going to be better suited to running different classes of workloads, Uttley said.

These systems will run side by side for decades, Uttley added. Conventional computing platforms are not going to be replaced anytime soon.

Quantum computers, however, are better suited to addressing complex computational challenges involving chemistry, routing optimizations using, for example, logistics and traffic management applications, and even the training of AI models. In the latter case, a quantum computer can identify the starting point for the training of an AI model that would then be completed by a conventional computer. Other more intractable problems involving, for example, applications for ways to reduce the level of carbon in the atmosphere are only feasible to run on a quantum computing platform.

It may still be a while before quantum computing delivers on its full promise, but while the way quantum systems work may not be widely understood, there is now no turning back.

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Honeywell says quantum computers will outpace standard verification in 18 to 24 months - VentureBeat

Quantum computer is fundamentally different than conventional & supercomputers and use the technology based on quantum phenomena. Unlike classical computers, it uses quantum bits (qubits) to process the data. In addition, quantum computing performs complex calculations proficiently when compared with classical computers and this factor majorly fuels the growth of the enterprise quantum computing market application. Furthermore, it finds its application in aerospace & defense, BFSI, healthcare & life science, energy & utilities, manufacturing, IT & telecom, and other industries.

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Top Key Vendors in Market:

D-Wave Systems Inc. (Canada), QX Branch (US), International Business Machines Corporation (US), Cambridge Quantum Computing Limited (UK), 1QB Information Technologies (Canada), QC Ware, Corp. (US), StationQ- Microsoft (US), Rigetti Computing (US), Google Inc. (US), River Lane Research (US)

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Table of Content:

Global Quantum Computing Market Research Report 2019-2025

Chapter 1: Industry Overview

Chapter 2: Quantum Computing Market International and China Market Analysis

Chapter 3: Analysis of Revenue by Classifications

Chapter 4: Analysis of Revenue by Regions and Applications

Chapter 5: Analysis of Quantum Computing Market Revenue Market Status.

Chapter 6: Sales Price and Gross Margin Analysis

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Explore why Quantum Computing Market is thriving worldwide by 2025 with top key players like D-Wave Systems Inc. (Canada), QX Branch (US),...

A team of Chinese scientists has developed the most powerful quantum computer in the world, capable of performing at least one task 100 trillion times faster than the world's fastest supercomputers.

In 2019, Google said it had built the first machine to achieve "quantum supremacy," the first to outperform the world's best supercomputers at quantum calculation, Live Science previously reported. (IBM disputed Google's claim at the time.) The Chinese team, based primarily at the University of Science and Technology of China in Hefei, reported their quantum computer, named Jiuzhang, is 10 billion times faster than Google's. A description of Jiuzhang and its feat of calculation was published Dec. 3 in the journal Science. Assuming both claims hold up, Jiuzhang would be the second quantum computer to achieve quantum supremacy anywhere in the world.

China has invested heavily in quantum computing, with Xi Jinping's government spending $10 billion on the country's National Laboratory for Quantum Information Sciences, NDTV reported. The country is also a world leader in quantum networking, where data encoded using quantum mechanics is transmitted across great distances, as Live Science has reported.

Related: 12 stunning quantum physics experiments

Quantum computers can exploit the unusual mathematics governing the quantum world to outperform classical computers on certain tasks, as Live Science reported. Where classical computers perform calculations using bits, which can have one of two states (typically represented by a 1 or a 0), quantum bits, or qubits, can exist in many states simultaneously. This allows them to solve problems more quickly than classical computers. But while the theories predicting that quantum computing would beat classical computing have been around for decades, building practical quantum computers has proved much more challenging.

The Chinese computer makes its calculations (limited to particular questions about the behavior of light particles) using optical circuits. Google's device, Sycamore, uses superconducting materials on a chip and more nearly resembles the basic structure of classical computers. Neither would be particularly useful on its own as a computer, and the Chinese device was built to solve just one type of problem.

To test Jiuzhang, the researchers assigned it a "Gaussian boson sampling" (GBS) task, where the computer calculates the output of a complex circuit that uses light. That output is expressed as a list of numbers. (Light is made of particles known as photons, which belongs to a category of particles known as bosons.)

Success is measured in terms of number of photons detected. Jiuzhang, which itself is an optical circuit, detected a maximum of 76 photons in one test and an average of 43 across several tests. Its calculation time to produce the list of numbers for each experimental run was about 200 seconds, while the fastest Chinese supercomputer, TaihuLight, would have taken 2.5 billion years to arrive at the same result. That suggests the quantum computer can do GBS 100 trillion times faster than a classical supercomputer.

This doesn't mean that China has a fully practical quantum computer yet, according to Xinhua. China's device is specialized, and mostly useful as a tool for doing GBS. But it's a major milestone on the way there.

Originally published on Live Science.

View original post here:
China claims fastest quantum computer in the world | Live ...

Provided by Live Science Abstract illustration of quantum computing

A team of Chinese scientists have developed the most powerful quantum computer in the world, capable of performing at least one task 100 trillion times faster than the world's fastest supercomputers.

In 2019, Google said it had built the first machine to achieve "quantum supremacy," the first to outperform the world's best supercomputers at quantum calculation, Live Science previously reported. (IBM disputed Google's claim at the time.) The Chinese team, based primarily at the University of Science and Technology of China in Hefei, reported their quantum computer, named Jiuzhang, is 10 billion times faster than Google's. A description of Jiuzhang and its feat of calculation was published Dec. 3 in the journal Science. Assuming both claims hold up, Jiuzhang would be the second quantum computer to achieve quantum supremacy anywhere in the world.

China has invested heavily in quantum computing, with Xi Jinping's government spending $10 billion on the country's National Laboratory for Quantum Information Sciences, NDTV reported. The country is also a world leader in quantum networking, where data encoded using quantum mechanics is transmitted across great distances, as Live Science has reported.

Related: 12 stunning quantum physics experiments

Quantum computers can exploit the unusual mathematics governing the quantum world to outperform classical computers on certain tasks, as Live Science reported. Where classical computers perform calculations using bits, which can have one of two states (typically represented by a 1 or a 0), quantum bits, or qubits, can exist in many states simultaneously. This allows them to solve problems more quickly than classical computers. But while the theories predicting that quantum computing would beat classical computing have been around for decades, building practical quantum computers has proved much more challenging.

The Chinese computer makes its calculations (limited to particular questions about the behavior of light particles) using optical circuits. Google's device, Sycamore, uses superconducting materials on a chip and more nearly resembles the basic structure of classical computers. Neither would be particularly useful on its own as a computer, and the Chinese device was built to solve just one type of problem.

To test Jiuzhang, the researchers assigned it a "Gaussian boson sampling" (GBS) task, where the computer calculates the output of a complex circuit that uses light. That output is expressed as a list of numbers. (Light is made of particles known as photons, which belongs to a category of particles known as bosons.)

Success is measured in terms of number of photons detected. Jiuzhang, which itself is an optical circuit, detected a maximum of 76 photons in one test and an average of 43 across several tests. Its calculation time to produce the list of numbers for each experimental run was about 200 seconds, while the fastest Chinese supercomputer, TaihuLight, would have taken 2.5 billion years to arrive at the same result. That suggests the quantum computer can do GBS 100 trillion times faster than a classical supercomputer.

This doesn't mean that China has a fully practical quantum computer yet, according to Xinhua. China's device is specialized, and mostly useful as a tool for doing GBS. But it's a major milestone on the way there.

Originally published on Live Science.

Read the rest here:
China claims fastest quantum computer in the world

Google's Sycamore quantum processor.

The usefulness of most quantum computers is still significantly limited by the low number of qubits that hardware can support. But simple fiber optic cables just like the ones used for broadband connections could be the answer.

A team of researchers from the National Institute of Standards and Technology (NIST) found that, with just a few tweaks,optical fiber can be used to communicate with the qubits sitting inside superconducting quantum computers, with the same level of accuracy as existing methods.

Unlike the metal wires currently used, it is easy to multiply the number of fiber optic cables in a single device, which means it is possible to communicate with more qubits. According to NIST, the findings pave the way to packing a million qubits into a quantum computer. Most devices currently support less than a hundred.

SEE: Hiring Kit: Computer Hardware Engineer (TechRepublic Premium)

Superconducting quantum computers, such as the ones that IBM and Google are building, require qubits to sit on a quantum processor that is cooled to a temperature of 15 milikelvin colder than outer space to protect the particles' extremely fragile quantum state.

But whether to control the qubits or measure them, researchers first need to communicate with the processor. This means a connection line must be established between room-temperature electronics and the cryogenic environment of the quantum circuit.

Typically, scientists use microwave pulses to communicate with qubits. With different frequencies and durations, the pulses can influence the state of the qubit; or researchers can look at the amplitude of the reflected microwave signal to "read" qubit-based information.

Microwave pulses are normally sent down to the ultra-cold qubits through coaxial metal cables. This comes with a practical problem: sets of metal cables can be used to connect with to up to 1,000 qubits, after which it becomes physically unworkable to build more wiring in a single system.

Yet companies have ambitious goals when it comes to scaling up quantum computers. IBM, for example, is expected to surpass the 1,000 qubit mark by 2023 with a processor called IBM Quantum Condor, and iseyeing a long-term goal of a million-qubit quantum system.

John Teufel, a researcher at NIST who worked on the institute's latest research, explains that coaxial metal cables won't cut it for much longer. "The focus of most real-life quantum computing efforts has been to push forward using conventional wiring methods," Teufel tells ZDNet.

"While this has not yet been the bottleneck for state-of-the-art systems, it will become important in the very near future...All the companies that are pursuing quantum-computing efforts are well aware that new breakthroughs will be required to reach their ultimate goal."

The researchers opted to replace metal cables with familiar optical fiber technology.

To address this issue, Teufel and his team at NIST opted to replace metal cables with familiar optical fiber technology, which, based on a glass or plastic core, was anticipated to carry a high volume of signals to the qubits without conducting heat.

Using conventional technology, the researchers converted microwave pulses into light signals that can be transported by the optical cables. Once the light particles reach the quantum processor, they are converted back into microwaves by cryogenic photodetectors, and then delivered to the qubit.

Optical fiber was used to both control and measure qubits, with promising results: the new set-up resulted in accurate rendering of the qubit's state 98% of the time, which is the same accuracy as obtained using regular coaxial lines.

Teufel and his team now envision a quantum processor in which light in optical fibers transmits a signal to and from the qubit, with each qubit talking to a wire. "Unlike conventional metal coaxial cables, the fiber itself is not the bottleneck for how many qubits you could talk to," says Teufel. "You could simply give each qubit a dedicated fiber through which to send signals, even for a million-qubit system. A million fibers seems feasible, while a million coaxial lines does not."

Another advantage of optical cable, notes Teufel, is the information carrying capacity of a single fiber, which is much greater than that of a metal cable. Many more signals up to several thousand can be sent through one optical wire, and the scientist envisions separating and re-routing those signals to different qubits in the processor. This would effectively enable a single fiber optic cable to talk to several qubits at once.

The experiment is yet to be carried out. In the meantime, Teufel is confident that all eyes will be on NIST's latest findings. "Novel wiring methods, like the one we have shown here, will eventually be required to maintain the incredible growth trajectory of quantum computing efforts," says Teufel.

"We do not suggest that our new method is the only long-term solution, but we are excited to see that this new idea looks incredibly promising. I expect that companies will be looking closely at this work to see if these new methods can be incorporated into their future strategies."

Original post:
Quantum computing: How basic broadband fiber could pave the way to the next breakthrough - ZDNet