Researchers at Toshiba Corporation have achieved a breakthrough in quantum computer architecture: the basic design for a double-transmon coupler that will improve the speed and accuracy of quantum computation in tunable couplers. The coupler is a key device in determining the performance of superconducting quantum computers.

Tunable couplers in a superconducting quantum computer link two qubits and perform quantum computations by turning on and off the coupling between them. Current technology can turn off the coupling of transmon qubits with close frequencies, but this is prone to crosstalk errors that occur on one of the qubits when the other qubit is irradiated with electromagnetic waves for control. In addition, current technology cannot completely turn off coupling for qubits with significantly different frequencies, resulting in errors due to residual coupling.

Baidu, Inc., a leading AI company with strong Internet foundation, today announced its first superconducting quantum computer that fully integrates hardware, software, and applications. On top of this, Baidu also introduced the world's first all-platform quantum hardware-software integration solution that provides access to various quantum chips via mobile app, PC, and cloud. Launched at Quantum Create 2022, a quantum developer conference held in Beijing, this new offering paves the way for the long-awaited industrialization of quantum computing.

A revolutionary technology that harnesses the laws of quantum mechanics to solve problems beyond the reach of classical computers, quantum computing is expected to bring ground-breaking transformations in fields like artificial intelligence (AI), computational biology, material simulation, and financial technology. However, a significant gap remains between quantum devices and services.

Quantum computing is an upcoming acceleration aiding classical computational methods to achieve monumental speed-ups at a few select problems. Unlike classical computers, quantum systems usually require sub-ambient cooling to make them work. At Quantum Brilliance, an Australian-Germany startup company, researchers have been developing quantum accelerators based on diamonds. Today, we got the world's first installation of room-temperature on-premises quantum computers at Australia's Pawsey Supercomputing Centre. While we don't have much information about the computational capability of the system, we know that it is paired with HPE Setonix, Pawsey's HPE Cray EX supercomputer.

In a brief YouTube video shared by Pawsey, it is highlighted that the benefits of using quantum accelerators are real, and they are figuring out ways to integrate it with the center's hardware and software stack for better usage. Meanwhile, Quantum Brilliance diamond accelerators are still a black box of some sort as the technology is known to the startup and its collaborating Australian universities. All we know is that the company is harnessing nitrogen-vacancy (NV) center in diamonds, which supposedly have the longest coherence time of any room temperature quantum state. This translates to a qubit that can operate anywhere a classical computer can.

IonQ, an industry leader in quantum computing, announced IonQ Forte, its latest generation of quantum systems. The system features novel, cutting-edge optics technology that enables increased accuracy and further enhances IonQ's industry leading system performance. Forte is expected to be initially available for select developers, partners, and researchers in 2022 and is expected to be available for broader customer access in 2023. Forte is the latest evolution towards a "software-configurable quantum computer," which is designed to allow the company to optimize the computing hardware for targeted user problems-ultimately, giving users customized algorithmic performance. The new system features acousto-optic deflector (AOD) technology, which allows IonQ to dynamically direct laser beams that drive quantum gates towards individual ions. The AOD is designed to minimize noise and overcome variations in ion position, improving fidelity in long chains of trapped ions, which is crucial for scaling quantum computers. In addition, key parameters, including qubit and gate configuration, can be tailored to user needs, creating a truly dynamic and flexible system.

Forte joins IonQ Aria as the company's second system with capacity of up to 32 qubits, has AOD systems capable of addressing up to 40 individual ion qubits, and is currently configured to use 31 of them. With this technological leap, IonQ furthers its commitment to building ever more powerful quantum computers with an increasing number of algorithmic qubits, an application-oriented performance metric for quantum computers. The new announcement follows IonQ's announcement of open-source access to native gates, which allows quantum application developers to explore software breakthroughs on top of IonQ hardware without having to choose from a set menu of gates.

Fujitsu has successfully developed the world's fastest quantum computer simulator capable of handling 36 qubit quantum circuits on a cluster system featuring Fujitsu's "FUJITSU Supercomputer PRIMEHPC FX 700" ("PRIMEHPC FX 700")(1), which is equipped with the same A64FX CPU that powers the world's fastest supercomputer, Fugaku.

The newly developed quantum simulator can execute the quantum simulator software "Qulacs"(3) in parallel at high speed, achieving approximately double the performance of other significant quantum simulators in 36 qubit quantum operations. Fujitsu's new quantum simulator will serve as an important bridge towards the development of quantum computing applications that are expected to be put to practical use in the years ahead.

IBM today announced that LG Electronics has joined the IBM Quantum Network to advance the industry applications of quantum computing. By joining the IBM Quantum Network, IBM will provide LG Electronics access to IBM's quantum computing systems, as well as to IBM's quantum expertise and Qiskit, IBM's open-source quantum information software development kit.

LG Electronics aims to explore applications of quantum computing in industry to support big data, artificial intelligence, connected cars, digital transformation, IoT, and robotics applications - all of which require processing a large amount of data. With IBM Quantum, LG can leverage quantum computing hardware and software advances and applications as they emerge, in accordance with IBM's quantum roadmap. By leveraging IBM Quantum technology, LG will provide workforce training to its employees, permitting LG to investigate how potential breakthroughs can be applied to its industry.

IBM today announced its new 127-quantum bit (qubit) 'Eagle' processor at the IBM Quantum Summit 2021, its annual event to showcase milestones in quantum hardware, software, and the growth of the quantum ecosystem. The 'Eagle' processor is a breakthrough in tapping into the massive computing potential of devices based on quantum physics. It heralds the point in hardware development where quantum circuits cannot be reliably simulated exactly on a classical computer. IBM also previewed plans for IBM Quantum System Two, the next generation of quantum systems.

Quantum computing taps into the fundamental quantum nature of matter at subatomic levels to offer the possibility of vastly increased computing power. The fundamental computational unit of quantum computing is the quantum circuit, an arrangement of qubits into quantum gates and measurements. The more qubits a quantum processor possesses, the more complex and valuable the quantum circuits that it can run.

At an Intel Labs virtual event today, Intel unveiled Horse Ridge II, its second-generation cryogenic control chip, marking another milestone in the company's progress toward overcoming scalability, one of quantum computing's biggest hurdles. Building on innovations in the first-generation Horse Ridge controller introduced in 2019, Horse Ridge II supports enhanced capabilities and higher levels of integration for elegant control of the quantum system. New features include the ability to manipulate and read qubit states and control the potential of several gates required to entangle multiple qubits.

"With Horse Ridge II, Intel continues to lead innovation in the field of quantum cryogenic controls, drawing from our deep interdisciplinary expertise bench across the Integrated Circuit design, Labs and Technology Development teams. We believe that increasing the number of qubits without addressing the resulting wiring complexities is akin to owning a sports car, but constantly being stuck in traffic. Horse Ridge II further streamlines quantum circuit controls, and we expect this progress to deliver increased fidelity and decreased power output, bringing us one step closer toward the development of a 'traffic-free' integrated quantum circuit."-Jim Clarke, Intel director of Quantum Hardware, Components Research Group, Intel.

Honeywell, a multinational conglomerate specializing in the quantum computing field, today announced they have created the world's most advanced quantum computer. Their new solution brings about a quantum computing volume set at 64 - twice the quantum volume of the world's previous most powerful quantum computer, the IBM Raleigh. You might be looking at that 64 quantum volume, wondering what that means - and where did the qubits metric go. Well, the thing with quantum computers is that the number of qubits can't really be looked at as a definite measure of performance - instead, it's just a part of the "quantum volume" calculation, which expresses the final performance of a quantum system.

When you make operations at the quantum level, a myriad of factors come into play that adversely impact performance besides the absolute number of qubits, such as the calculation error rate (ie, how often the system outputs an erroneous answer to a given problem) as well as the qubit connectivity level. Qubit connectivity expresses a relationship between the quantum hardware capabilities of a given machine and the ability of the system to distribute workloads across qubits - sometimes the workloads can only be distributed to two adjacent qubits, other times, it can be distributed to qubits that are more far apart within the system without losing data coherency and without affecting error rates - thus increasing performance and the systems' flexibility towards processing workloads. If you've seen Alex Garland's Devs series on Hulu (and you should; it's great), you can see a would-be-quantum computer and all its intricate connections. Quantum computers really are magnificent crossovers of science, materials engineering, and computing. Of course, the quantum computing arms race means that Honeywell's system will likely be dethroned by quantum volume rather soon.

Intel, in collaboration with QuTech, today published a paper in Nature demonstrating the successful control of "hot" qubits, the fundamental unit of quantum computing, at temperatures greater than 1 kelvin. The research also highlighted individual coherent control of two qubits with single-qubit fidelities of up to 99.3%. These breakthroughs highlight the potential for cryogenic controls of a future quantum system and silicon spin qubits, which closely resemble a single electron transistor, to come together in an integrated package.

"This research represents a meaningful advancement in our research into silicon spin qubits, which we believe are promising candidates for powering commercial-scale quantum systems, given their resemblance to transistors that Intel has been manufacturing for more than 50 years. Our demonstration of hot qubits that can operate at higher temperatures while maintaining high fidelity paves the way to allow a variety of local qubit control options without impacting qubit performance," said Jim Clarke, director of quantum hardware, Intel Labs.

Intel researchers are taking new steps toward quantum computers by testing a tiny new "spin qubit" chip. The new chip was created in Intel's D1D Fab in Oregon using the same silicon manufacturing techniques that the company has perfected for creating billions of traditional computer chips. Smaller than a pencil's eraser, it is the tiniest quantum computing chip Intel has made.

The new spin qubit chip runs at the extremely low temperatures required for quantum computing: roughly 460 degrees below zero Fahrenheit - 250 times colder than space. The spin qubit chip does not contain transistors - the on/off switches that form the basis of today's computing devices - but qubits (short for "quantum bits") that can hold a single electron. The behavior of that single electron, which can be in multiple spin states simultaneously, offers vastly greater computing power than today's transistors, and is the basis of quantum computing.

At CES 2018 in January, Intel CEO Brian Krzanich predicted that quantum computing will solve problems that today take months or years for our most powerful supercomputers to resolve. Krzanich then unveiled Intel's 49-qubit superconducting quantum test chip, code-named "Tangle Lake."

Quantum computing is heralded for its potential. Leaders in scientific and industrial fields are hopeful quantum computing will speed advances in chemistry, drug development, financial modeling and climate change.

(Editor's Note: Quantum supremacy may still be some years away as researchers strive to surpass the challenges of keeping such exotic systems stable and error-free enough for them to provide actually useful in more complex calculations. As complexity increases, so does the system's stability decrease, so researchers have to come up with novel ways of not only expanding the scope of the quantum computer, but also stabilizing it. That quantum supremacy is some years away should elicit a sigh of relief from users, as it means that our current encryption techniques will be relevant for that much more time; however, it's really only a matter of time before quantum-based encryption schemes are necessary to maintain the status quo. Of course, general purpose computers will - and do - keep on evolving and increasing in performance as well, so quantum supremacy may find itself chasing the goose, so to speak, for a little more time.)

The goal of the Google Quantum AI lab is to build a quantum computer that can be used to solve real-world problems. Our strategy is to explore near-term applications using systems that are forward compatible to a large-scale universal error-corrected quantum computer. In order for a quantum processor to be able to run algorithms beyond the scope of classical simulations, it requires not only a large number of qubits. Crucially, the processor must also have low error rates on readout and logical operations, such as single and two-qubit gates.

Quantum computing is heralded for its potential to tackle problems that today's conventional computers can't handle. Scientists and industries are looking to quantum computing to speed advancements in areas like chemistry or drug development, financial modeling, and even climate forecasting.

To deliver on quantum computing's potential, Intel initiated a collaborative research program in 2015 with the goal of developing a commercially viable quantum computing system. While there's been significant progress, quantum computing research is still nascent. The industry is at mile one in a marathon, and to realize this new computing paradigm, many problems must be solved and many architectural decisions must be made. For example, it's not yet clear what form quantum processors (or "qubits") will take. That's why Intel is placing two major research bets and investing in them equally.

So you want to learn how to program a quantum computer. Now, there's a toolkit for that. Microsoft is releasing a free preview version of its Quantum Development Kit, which includes the Q# programming language, a quantum computing simulator and other resources for people who want to start writing applications for a quantum computer. The Q# programming language was built from the ground up specifically for quantum computing.

The Quantum Development Kit, which Microsoft first announced at its Ignite conference in September, is designed for developers who are eager to learn how to program on quantum computers whether or not they are experts in the field of quantum physics. It's deeply integrated into Visual Studio, Microsoft's suite of developer tools, so aspects of it will be familiar to people who are already developing applications in other programming languages. And it's designed to work with a local quantum simulator, also released as part of the kit, that can simulate around 30 logical qubits of quantum computing power using a typical laptop computer. That will allow developers to debug quantum code and test programs on small instances right on their own computers.

Japan's Nippon Telegraph and Telephone Company (NTT) is opening up its prototype quantum computing system for public use over the internet, giving users around the world access to one of the most elusive pieces of tech that this world has yet seem. Maybe we haven't seen it, though; observation does change the outcome, and these quantum physics really are as finicky as they come. Starting Nov. 27, Japan joins China and the U.S. in the race to develop the world's most advanced computers - and Japan has chosen the free, quantum-democratizing approach.

The NTT quantum computing solution is a state-sponsored research project, developed in conjunction with the National Institute of Informatics, Osaka university, and other partners. It has taken a different technical approach from other quantum computing developers, in that this particular computing system is exploiting the properties of light. Widely (un)known as Linear Optics Quantum Computation (LOQC), this particular approach foregoes qubits (which are extremely difficult to keep from decohering, and usually require very exotic cooling techniques to increase the qubits' stability. LOQC abandons qubits and uses photons to represent them as information carriers through linear optical elements (such as beam splitters, phase shifters, and mirrors). This allows the machine to process quantum information, using photon detectors and quantum memories to detect and store quantum information.

Today, Intel announced the delivery of a 17-qubit superconducting test chip for quantum computing to QuTech, Intel's quantum research partner in the Netherlands. The new chip was fabricated by Intel and features a unique design to achieve improved yield and performance. The delivery of this chip demonstrates the fast progress Intel and QuTech are making in researching and developing a working quantum computing system. It also underscores the importance of material science and semiconductor manufacturing in realizing the promise of quantum computing.

Quantum computing, in essence, is the ultimate in parallel computing, with the potential to tackle problems conventional computers can't handle. For example, quantum computers may simulate nature to advance research in chemistry, materials science and molecular modeling - like helping to create a new catalyst to sequester carbon dioxide, or create a room temperature superconductor or discover new drugs. However, despite much experimental progress and speculation, there are inherent challenges to building viable, large-scale quantum systems that produce accurate outputs. Making qubits (the building blocks of quantum computing) uniform and stable is one such obstacle.

Scientists at IBM Research (NYSE: IBM)/ (#ibmresearch) have achieved major advances in quantum computing device performance that will accelerate the realization of a practical, full-scale quantum computer. For specific applications, quantum computing which leverages the underlying quantum mechanical behavior of matter has the potential to deliver computational power that is unrivaled by any supercomputer today.

Using a variety of techniques in the IBM labs, scientists have established three new records for reducing the error in elementary computations and retaining the integrity of quantum mechanical properties in quantum bits (qubits) - the basic units that carry information within quantum computing. Furthermore, IBM has chosen to employ superconducting qubits which use established microfabrication techniques developed for silicon technology, providing the potential to one day scale up to and manufacture thousands or millions of qubits.

News of quantum breakthroughs seem to be coming every few months now, edging ever closer towards the hallowed goal of building a quantum computer using quantum qubits rather than classical bits and bringing colossal improvements in computational power. This will eventually lead to applications that we can't even imagine now and possibly a true artificial intelligence of the kind one sees in the movies. Also, it would allow calculations that would normally take longer than the lifetime of the universe on a classical computer to be made in just a few seconds or minutes on a quantum one. A goal well worth striving for.

The latest breakthrough comes from the University of New South Wales, Melbourne University and Purdue University who have developed the smallest wire yet. It's a silicon nanowire, having the tiny dimensions of just one atom high and four atoms wide. This is a feat in itself, but the crucial part is that the wire is able to maintain its resistivity even at this atomic level, making it far easier for current to flow, thereby preventing the tiny wire from becoming useless. This will help with the continuation of Moore's Law, giving us ever more powerful computers at the present rate and opens the door to quantum computing within the next decade.

TechEYE has a more detailed article about this development. This is based on an ABC Radio interview with Michelle Simmons from the University of New South Wales and makes for fascinating listening.

A multi-purpose optical chip which generates, manipulates and measures entanglement and mixture - two quantum phenomena which are essential driving forces for tomorrow's quantum computers - has been developed by researchers from the University of Bristol's Centre for Quantum Photonics. This work represents an important step forward in the race to develop a quantum computer.

The fundamental resource that drives a quantum computer is entanglement - the connection between two distant particles which Einstein famously called 'spooky action at a distance'. The Bristol researchers have, for the first time, shown that this remarkable phenomenon can be generated, manipulated and measured entirely on a tiny silica chip. They have also used the same chip to measure mixture - an often unwanted effect from the environment, but a phenomenon which can now be controlled and used to characterize quantum circuits, as well as being of fundamental interest to physicists.