Laptops With Processors Designed For Quantum Computing Simulations – The quantum computers offered by Spinke are significantly smaller compared to the faster models produced by IBM, but the weight varies between 14 and 44 kg and the prices are still far from consumer-level products so they are not easy to transport. . . With only 2-qubit and 3-qubit processors, these systems should be educational solutions that introduce users to quantum programming.

AI and quantum computing should be the two most important technologies that will greatly influence our evolution in the coming years. While artificial intelligence seems to be developing more rapidly thanks to all sorts of open source projects, experimenting with quantum computing requires expensive and cumbersome hardware. Developments in the field of quantum computing have been relatively slow, but some companies, such as China’s SpinK and Japan’s Switch-Science, are already looking for solutions to help democratize access for the masses.

Laptops With Processors Designed For Quantum Computing Simulations

The Gemini Mini, Gemini and Triangulum portable quantum computer models from SpinK / Switch-Science are much smaller than the current fastest quantum computers and, as such, their computing power is proportionally lower. Compared to IBM’s Osprey CPU, which incorporates 433 qubits, the portable SpinK processors only offer a maximum of 3 qubits. Of course, due to its small size, the qubit technology is also original. Instead of superconducting qubits that require low temperatures, the portable quantum processor comes with qubits that operate based on nuclear magnetic resonance. This type of technology, unfortunately, does not unlock the quantum entanglement properties that make CPUs potentially faster than transistor-based processors.

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Although the SpinK models are considered portable, don’t expect to carry them around like a laptop, as the most compact version weighs 14kg. Furthermore, these models don’t really provide enough processing power to run complex troubleshooting scenarios. They are intended as educational tools that introduce users to the programming of quantum circuits. Even the prices are not what we call mainstream.

Spinke’s most affordable quantum computer is represented by the Gemini Mini model. It measures 200 x 350 x 260 mm, weighs 14 kg, and has a two-qubit processor that delivers over 20 ms coherence time with 10 gate operations for a two-qubit circuit or over 30 operations for a one-qubit. It is the only model with an integrated screen that makes it easy for users to access 18 demo algorithms along with documentation and training materials. The entire device requires 60V of power, and its price changes to $8,100 in Japanese yen.

With the mid-range Gemini model, we can already forget about portability, because the device resembles a rounded case of a PC tower with dimensions of 600 x 280 x 530 mm and weighs 44 kg. Power requirements are increased to 100V, but the processor still has only 2 qubits with 20+ ms coherence. However, 1 qubit is capable of performing 200 gate operations, while a two-qubit circuit is capable of 20 gate operations. All this for just $41,500.

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The flagship Trine is not much more expensive than the Gemini at ~$57,400. Despite the large case measuring 610 x 330 x 560 mm, this model weighs 40 kg. It offers a highly advanced 3-qubit processor with 40+ms coherence time for extended runtime, while processing power is reduced to 40 gate operations for one qubit or 8 gate operations for a two- or three-qubit circuit. For increased coherence times, this model requires 330 V power.

Judging by the price of these models, quantum computing for the masses is still a long way off. Processing power is also very limited at present, but at least some efforts are being made towards miniaturization and mass production.

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I first stepped into the wonderful world of IT and C when I was about seven years old. I was immediately fascinated by computer graphics, whether it was games or 3D applications like 3D Max. I am an avid science fiction reader, astrophysics buff and crypto geek. I started writing PC-related articles for Softpedia and some blogs in 2006. I joined the team in the summer of 2017 and am currently a senior technical writer covering CPU, GPU and laptop news. A quantum accelerator product planned for 2025 will deliver ~50 qubits in a unit the size of a graphics card.

Room-temperature diamond quantum accelerators could become another PC component, offering quantum capabilities while convenient.

View gallery – 3 images An Australian/German company is developing powerful quantum accelerators the size of graphics cards. They will run at room temperature, undercut and outperform today’s massive, cryo-cooled quantum supercomputers, and will soon be small enough for mobile devices.

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Superconducting quantum computers are massive and incredibly sensitive machines at the moment. They must isolate anything that breaks the electron’s spin and destroys the calculation. These include mechanical separation, in extreme vacuum chambers, only a few molecules can remain in a cubic meter or two of space. It involves electromagnetic forces – IBM, for example, surrounds its precious quantum bits, or qubits, with metals to absorb any magnetic fields.

And this includes temperature. Any atom with a temperature above absolute zero is by definition in a vibrational state, and temperatures above 10-15 thousandths above absolute zero will shake the qubits to the point where they cannot maintain “coherence”. So most sophisticated quantum computers have to be cryogenically cooled using complex and expensive equipment before the qubits can hold their state for any length of time and be useful.

Extreme vacuums, Mu metals and microkelvin cryogenic cooling: this is not a recipe for affordable, portable or easily scalable quantum computing power. But an Australian-based startup says it has developed a quantum microprocessor that doesn’t need any of these things. In fact, it works happily at room temperature. This is the size of the current rack unit. Soon it will be the size of a decent graphics card, and soon it will be small enough to fit in mobile devices alongside traditional processors.

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If this company does what it says, you’ll be able to integrate the benefits of quantum into computers of any size, freeing this powerful new technology from the size and cost limitations of supercomputers. Quantum software and calculations need not be done via a high-speed connection to a mainframe or cloud, but on-site where needed. Quite an attention-grabbing subject.

Quantum Brilliance was founded in 2019 based on research undertaken by its founders at the Australian National University, where they developed techniques to manufacture, measure and control qubits embedded in synthetic diamond.

This is a complex task, so we turn to the Quantum Brilliance whitepaper for a technical explanation: “Room-temperature diamond quantum computers consist of an array of processor nodes. Each processing node contains a nitrogen vacancy (NV) center (a defect in the diamond lattice containing a substitutional nitrogen atom near a vacancy) and a cluster of nuclear spins: the inner nuclear spin of nitrogen and ~4 nearby 13C nuclear spin impurity spins. Nuclear spins act as computer qubits, while NV centers act as quantum buses that mediate qubit initialization and readout, and intra- and inter-node multi-qubit operations. Quantum computing is controlled by radio frequency, microwave, optical and magnetic fields.”

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The field is not new — in fact, room-temperature quantum qubits have existed experimentally for more than 20 years. Quantum Brilliance’s contribution to the field is finding ways to precisely and repeatably make these tiny objects, and to miniaturize and integrate the control structures needed to get information in and out of qubits — two key areas that have held back devices so far from scaling beyond a few qubits.

“Because diamond is such a solid material,” KB co-founder and CEO Mark Luo says via Zoom call, “it’s really able to hold many of these properties in place — which allows these quantum phenomena to be more stable compared to other systems that exist. Given that rigidity, we A lot of existing classical control systems can actually be used.”

“The key asset we’re using,” says Mark Mattingly-Scott, the new hire overseeing the company’s operations in Germany, “is nuclear spin, not spin.

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