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Maybells Icebox Dilution Refrigerator condenses a room-sized cryogenic setup into a system slightly larger than your kitchen fridge to cool quantum devices to the necessary temperatures. Image: Maybell Quantum

Its hard to keep up with all the news coming out of the quantum computing industry these days. The quantum ecosystem is growing in all directions from academic to corporate boardrooms and producing new hardware, software and partnerships.

Denis Mandich, CTO of quantum entropy startup Qrypt, said that the race to make qubits at scale is a winner-take-all competition.

If you make that scalable quantum computer, your advantage is so great that youll leave everyone else in the dust, he said. Thats why so much money is pouring into this sector and why companies are hiring at an unbelievable pace.

Qrypt is a member of the Quantum Consortium that tracks open positions among member organizations including corporations, academic institutions, national labs and government agencies. There are more than 600 listings in the QED-C directory as of early April.

Its a knife fight to get people at this point, he said.

Mandich said every country has outspent the U.S. when it comes to quantum investments because leaders recognize that this is a national race as well.

Whoever is there first has immediate business interest because people will pay for this tomorrow if it scales, he said.

This roundup of quantum news ranging from advancements in hardware, benchmarking work or strategic investments shows why there are so many jobs and why its a challenge to fill them.

The Good Chemistry Company got a vote of confidence via a strategic investment from Accenture Ventures, the consulting companys corporate venture capital arm. The companys QEMIST Cloud is an integrated platform designed for developers. Computational chemistry developers can use the platform to build chemical simulation applications and workflows with emerging algorithms in quantum chemistry, machine learning and quantum computing.

Carl Dukatz, Accentures global quantum computing lead, said in a press release that a new class of scalable cloud-based technology is emerging to support the next generation of chemistry, material science and structural design. Accenture Ventures did not disclose the terms of the investment.

Siemens Digital Industries Software is funding a research project with Pasqal to advance quantum computational multi-physics simulation. The company will use its proprietary quantum methods to solve complex nonlinear differential equations and enhance Siemens product design and testing software. Pasqal specializes in neutral atom-based quantum computing.

Georges-Olivier Reymond, CEO and founder of Pasqal, said the work will focus on creating more accurate digital twins for automotive, electronics, energy and aerospace customers. Pasqals quantum technology controls atoms with an equal number of electrons and protons with optical tweezers and laser light to engineer full-stack processors with high scalability and long coherence times, according to the company. The companys software agnostic processing units operate at room temperature with lower energy.

In March, the French company announced a partnership with Microsoft to offer access to its technology via Azure Quantum. Dr. Krysta Svore, a distinguished engineer and VP of quantum software at Microsoft, said Pasqals services will provide Azure Quantum users with new computational possibilities. The Pasqal system will be available later this year.

Zapata and IonQ announced at the end of March a Defense Advanced Research Projects Agency multi-million dollar award for quantum benchmarking. The funds will support the creation of software tools to make hardware-specific resource estimates for quantum computers. The collaboration includes teams from:

Yudong Cao, CTO and founder of Zapata Computing, said the program will focus on hardware-specific resource estimation.

The key priority is building and integrating software tools across a broad range of the quantum stack from abstract program description, compiler toolchains, error correction and mitigation, to low-level physical control of quantum hardware systems, Cao said. For Zapata specifically, this program will also be an opportunity to test and develop our Orquestra platform for large-scale numerical experiments needed for creating the quantum benchmarks.

The research team started work in March and expects the project to last three years.

At the GTC conference in March, NVIDIA shared an update on its quantum work. The companys cuQuantum is now in general release, while its cuQuantum DGX Appliance is in beta. CEO Jensen Huang announced a new quantum compiler: nvq++, which targets the Quantum Intermediate Representation, a specification of a low-level machine language that quantum and classical computers can use to communicate. Researchers at Oak Ridge National Laboratory will be among the first to use this software.

These projects position NVIDIA strategically at classical and quantum inflection points, where classical advantage gives way to quantum value, according to Gartner Analyst Chirag Dekate.

Maybell Quantum exited stealth mode in March with the Icebox, a new design for quantum hardware. The founders have shrunk the cooling system required to run the specialized hardware down the size of a kitchen refrigerator. The Colorado company has more than a dozen patent-pending innovations, including Flexlines. These quantum wires offer industry-leading performance and density, while transmitting a fraction of the heat and vibration of traditional cabling, according to the company. There are 4,500 of these wires in a single Icebox, which represents three items more qubits in one-tenth of the space, said Maybells CTO Dr. Kyle Thompson.

Quantum Brilliance is planning a joint research and development hub with La Trobe University and RMIT University to develop high-performance, scalable diamond-based quantum microprocessors. The Research Hub for Diamond Quantum Materials will develop fabrication techniques.

Dr. Marcus Doherty is the co-founder and chief scientific officer of Quantum Brilliance, the head of the Diamond Quantum Science and Technology Laboratory at the Australian National University and the leader of the Australian Armys quantum technology roadmap.

Professor Chris Pakes, acting deputy vice chancellor for research and industry engagement at La Trobe University, said the partnership will use both universities expertise in diamond growth, surface imaging and engineering, and combine it with Quantum Brilliances industry experience and manufacturing capabilities. Quantum Brilliance uses impurities within synthetic diamonds, and a carbon atom is swapped out for a nitrogen atom in the lattice of the crystal, to generate qubits.

Q-CTRL is also supporting expanded quantum research through a partnership with The Paul Scherrer Institute. Dr. Cornelius Hempel, group lead for ion trap quantum computing at the university, said that efficient and automated tuneup and calibration procedures will be an essential aspect of day-to-day operations as quantum computers get larger and larger.

Q-CTRLs hardware agnostic, yet hardware-aware tools will be very valuable in finding optimal control solutions that ensure uniform performance across larger qubit arrays, he said.

Both teams have experience in quantum computing based on trapped ions, including specialized approaches in error correction. The Institute has an existing research partnership with ETH Zurich via a quantum computing hub that opened in May 2021.

SaaS startup Agnostiq has submitted a new research paper that recommends a more practical approach to measuring the progress of quantum computing: use benchmarks that match the application in question. Agnostiq conducted its research with a portfolio optimization task to determine whether quantum computers have actually improved over time for specific use cases.The findings include:

One of the most significant findings was that high-quality portfolios were produced using quantum circuits requiring larger numbers of gates than previously demonstrated. This shows the quality of hardware for performing combinatorial optimization has improved because increasing the number of gates produces more noise, according to the researchers. Other findings include:

The peak solution quality was observed at higher depth (p=4) on 3 qubits on an IonQ trapped ion machine.An IBM machine with the lowest qubit quality (quantum volume = 8) performed best of all the IBM machines tested.Variability should be considered with all benchmarking numbers because quantum computers presently give variable results (as high as 29%) depending on the time the machines were accessed.

Agnostiqs Head of R&D Santosh Kumar Radha said the research was motivated by the fact that every quantum hardware paradigm has its own set of performance metrics and each team is improving across different dimensions.

We recognized a need to better understand how these non-trivial improvements translate to real-world applications. Radha said.

Agnostiq develops software tools that make quantum and high performance computing resources more accessible to enterprises and developers. Its open source workflow orchestration platform Covalent is designed to manage and execute tasks on heterogeneous compute resources.

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Quantum computing ecosystem expands in all directions - TechRepublic

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Trapped-ion quantum computer manufacturer IonQ is on a roll. Recently, the company said its IonQ Aria system hit the 20 algorithmic qubit level a measure said to reflect a quantum computers qubits actual utility in real-world settings. The company also made IonQ Aria available on Microsofts Azure Quantum platform for what it describes as an extended beta program.

Moreover, IonQ reported its first quarter as a publicly traded company. It reportedly gained $2.1 million in revenue in 2021 and expects revenue for 2022 to be between $10.2 million and $10.7 million. For quantum computing, it is still early days when the players seek big partners to test out concepts.

A net loss of $106.2 million for 2021 belies the challenges ahead for IonQ, as well as other multi-state quantum computing players that look to surpass conventional binary computers someday. Early application targets for such machines include cryptography, financial modeling, electric vehicle battery chemistry and logistics.

By some measures, IonQ was late to the quantum computing race in 2019, when it first announced access to its platform via cloud partnerships with Microsoft and Amazon Web Services. An appearance on Google Cloud marketplace followed, thus making a Big 3 cloud hat-trick, one that other quantum players can also assert.

But, if IonQ was later to the quantum computing race, it was early to the quantum computing IPO.

Last year, IonQ claimed standing as the worlds first public pure-play quantum computing company. The IPO transpired as part of a SPAC, or Special Purpose Acquisition Company, which has come to be seen as an easier mechanism companies might use to enter the public markets.

The SPAC path is not without controversy, as companies taking this route have seen their shares slide after less than splashy intros. That doesnt bother Peter Chapman, CEO of IonQ. The company grossed $636 million in a SPAC-borne IPO that will go toward the long-awaited commercializing of quantum hardware, Chapman told VentureBeat.

I no longer have to think about raising money and we are no longer subject to market whims or external affairs, which seems, with [war in] Ukraine and everything else going on, like a really good decision, he said.

The IPO funding also gives IonQ staff a clear gauge on their stock options worth, he said, adding that this is important in the quantum talent war that pits IonQ versus some of the biggest tech companies in the world, many of which use superconducting circuits rather than ion trapping.

Clearly, raising large sums from VCs or public markets is a to-do item for quantum computing hardware makers like IonQ. The company arose out of academic labs at the University of Maryland that were originally propelled by a research partnership in quantum science with the National Institute of Standards and Technology (NIST).

Now, it must move lab prototypes into production, which is where much of the moneys raised will be spent as quantum computers seek to go commercial, Chapman indicated.

We knew that within roughly 18 months from IPO, we were going to be gearing up for manufacturing and that was going to require a lot more money. And so being able to run faster, was also a huge piece of what we wanted to be able to do, Chapman said.

Moving to larger scale production is a hurdle for all quantum players. Ion-trapping technology advocates may claim some edge there, in that parts of their base technology employ methods have long been used in atomic clocks.

With atomic clocks, you take ions and suspend them in a vacuum, levitate them above the surface using an RF field and you isolate them perfectly. Theyre very stable and theyre extremely accurate, Chapman said, touching on a factor that leads ion-trapping advocates to claim qubits with better coherence that is, ability to retain information than competitive methods.

Chapman notes that important atomic clock components have undergone miniaturization over the years and versions now appear as compact modules in navigational satellites. That augurs the kind of miniaturization that would help move the quantum computer out of the lab and into data centers. Of course, there are other hurdles ahead.

For IonQ, another bow to manufacturability is seen in the companys recent move from ytterbium ions to barium ions. This is said to create qubits of much higher fidelity.

In February, IonQ announced a public-private partnership with Pacific Northwest National Lab (PNNL) to build a sustainable source of barium qubits to power its IonQ Aria systems.

Chapman said the ions of barium qubits are controlled primarily with visible light, rather than the ultraviolet light that ytterbium set-ups require. Such UV light can be damaging to hardware components, so visible light has benefits over UV light.

More important, according to Chapman, is the fact that so many commercial silicon photonics work in the visible spectrum. Using the same technology found in a range of existing commercial products is useful as quantum computing looks to miniaturize and boost reliability.

Along with IonQs partnerships with cloud players, comes a series of partnerships with industry movers such as Hyundai Motor (for electric battery chemistry modeling), GE Research (for risk management) and Fidelitys Center for Applied Technology (for quantum machine learning for finance). More such deals can be expected, as IonQs quantum computing efforts ramp up and roll out.

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After the IPO: IonQ takes on highly charged quantum computing challenge - VentureBeat

BENGALURU, India & MILPITAS, Calif.--(BUSINESS WIRE)--QpiAI, a leader in quantum computing and AI today announced a MoU with Finland based, Oxford University spinout QuantrolOx. The two companies will work together to provide complete quantum solutions to customers in Europe, India and Asia.

Dr Nagendra Nagaraja CEO and Founder of QpiAI, suggested, India and Finland have had a close working relationship in telecom technologies. Both countries have now worked out a detailed plan for establishment of the Indo-Finnish Virtual Network Center on Quantum Computing. The MoU between QpiAI and QuantrolOx will further add to this momentum by providing advanced quantum computing testbeds for Indian and Finnish quantum companies and research labs to test and develop their quantum technologies.

"QpiAI is also working on semiconductor-based spin qubit technology, which is highly scalable and uses the mature semiconductor fabrication process. QpiAI has software and platform products in the market. It will transition its software platforms which currently run on the GPU and CPUs to its 3-chip solution of hybrid classical-Quantum compute by providing 20x -100x performance improvements in optimization workloads.

"There is a massive market opportunity in India, Asia and Europe for quantum computing technologies including quantum processors, quantum communication, quantum cloud computing and superconductors. Central to these opportunities is a scalable quantum computing technology that has the potential to automatically tune qubits and characterize quantum processors. While QpiAI is developing hardware including control board, RF and microwave-based quantum control chip and quantum processors and software applications software platforms and quantum algorithms, QuantrolOx is working on automated tuning and characterisation software."

Vishal Chatrath CEO of QuantrolOx and Prof. Andrew Briggs Executive Chairman of QuantrolOx, Professor at University of Oxford, are joining the advisory board of QpiAI to enable strategic alignment between the two companies. QpiAI Advisory board also has industry stalwarts like Dr Madhusudan Atre - former India head and Managing Director of AMD, Applied Materials, LSI, Lucent Microelectronics; and also advisor to startups and incubators. QpiAI board also has Dr Navakant Bhat who is former Chair of CeNSE and currently Dean of IISc.

With the Indian governments commitment of $1 Billion to the Indian quantum industry, we see India as a major market. We are excited to provide QuantrolOx technology to Indias first 25-qubit quantum computing testbed. This is just the beginning of our partnership with QpiAI to develop joint products and solutions for the global marketplace, added Vishal Chatrath, CEO and co-founder of QuantrolOx.

Ultimately, the challenge going forward for the industry to scale will be to create a supply chain in which specialist companies can focus on their core strengths. Such ecosystems will lead innovation and drive down costs so that in the next 5-10 years the world will have not 10s of quantum computers but thousands and possibly even 10s of thousands of quantum computers. I am excited at the prospect of a new quantum ecosystem developing between Oxford, Finland and India, added Prof Andrew Briggs, Executive Chair of QuantrolOx.

Having Quantum technology development in India will create next generation high-technology jobs in cutting edge research and technology development. This also builds ecosystem for leading inter-disciplinary R&D. I am very glad to see QpiAI forge partnership with QuantrolOx and lay the foundation for India-Finland partnership in the area of Quantum technology. We are glad that we will be working with Dr Andrew and Vishal to make Quantum computing commercially available across India, Europe and southeast Asia for industrial sectors," Dr Atre suggested.

"When we were first discussing Quantum hardware in India in 2020, that was before pandemic, Dr Nagendra was suggesting 20 qubit setup by 2024 in Bangalore. Now with this partnership it looks like we will be having multiple 25 Qubit testbeds right here in Bangalore by the end of 2022. This should enable a thriving Quantum ecosystem. Currently 25 qubits is based on superconductors and eventually 2048 qubits based on CMOS spin qubits will be very exciting. 2048 logical qubits can enable a lot of commercial applications. We would like to use all our expertise in CMOS fabrication to make this technology breakthrough happen. That would be a major technology breakthrough from India. We would like to see Dr Nagendra and team achieve the same as soon as possible with a lot of collaboration with Quantum ecosystems including QuantrolOx , Oxford and the IISc community. QpiAI has an excellent team and building commercial grade Quantum computers right here in Bangalore is very exciting. It is great to see collaboration between India and Finland to form this thriving Quantum ecosystem. The association of QpiAI with Dr Andrew and Vishal is a major step forward in achieving this goal," added Dr Navakant.

This partnership will create revenue generation opportunities for both the companies, QpiAI has QpiAISense hardware platform for controlling qubits ready to be shipped, on which QuantrolOx will develop control software for both superconducting and semiconductor-based spin qubits.

QpiAI is building its own quantum computing lab to house cryogenic electronics and is in process to acquire land for Indias first private quantum computing lab facility. The QpiAI quantum lab will be part of bigger Qpi Technology Quantum Park, which houses the labs and manufacturing facility for its subsidiaries like super conductor based single photon detector, single photon source, HTS tapes and HTS cables for SuperQ, solid state battery prototyping facility for Qpivolta using Quantum and AI technologies and labs for Qpivolta-ET for Energy transition experiments using material discovery and carbon capture, Silicon photonics testing lab for Qpisemi for its AI20P AI processors and lab scale model Quantum data center designed by Qpicloud. Currently Qpicloud which is incubated in DSCI (Data security Council of India) NCoE (National Center of Excellence) for cybersecurity, is also working on Quantum security for data centers and cloud computing, whose lab will be enabled in Qpi Technology Quantum Park.

QpiAI is expanding in Finland to enable partnership with European quantum ecosystems. QpiAI already has a subsidiary in the US QpiAI Inc. QpiAI also intends to open an office in Japan for customer support and after sales support for Japanese customers.

With partnerships and global presence, QpiAI which is a revenue generating and profitable Quantum compute and AI company, which is vertically integrating AI and Quantum compute and has customers across the world, is scaling its business to next level to become major global player in AI and Quantum compute.

About QpiAI

QpiAI (https://www.qpiai.tech) is World leader in AI and Quantum computing. QpiAI is integrating Quantum computing and AI vertically to offer solutions to areas like manufacturing, industrial, transportation, finance, pharma and materials. It has various software platforms and products including QpiAI-pro, QpiAI-explorer, QpiAI-logistics, QpiAIopt, QpiAIsim, QpiAIML. It is building complete hardware stack based on 3 chip solutions of Trion (universal optimizer Chip), Bumblebee (scalable cryogenic control chip) and scalable spin-qubit based QPU (Quantum processing unit) , which can be scalable to 2048 logical qubits. QpiAI is currently ready with room temperature control electronics based on its hardware platform QpiAIsense. QpiAI is subsidiary of Qpi Technology (https://www.qpitech.holdings).

About QuantrolOx

QuantrolOx (https://quantrolox.com/), an Anglo-Finnish spinout from University of Oxford, is building automated machine learning based control software for quantum technologies to tune, stabilise, and optimise qubits. QuantrolOxs software is technology agnostic and applicable to all types of quantum technologies. Initially the company is targeting solid-state qubits where the team has already demonstrated substantial practical benefits.

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QpiAI and QuantrolOx sign a MoU to jointly develop India's first 25-qubit quantum computing testbed and offerings for the European and Indian markets...

The U.S. and Sweden Agree to Cooperate on Quantum Technology

The U.S. and Sweden has also signed a signed a Joint Statement on Cooperation in Quantum Information Science and Technology (QIST). Just a few days earlier, the U.S. had signed a similar agreement with Finland. The Joint Statement advances the shared agendas of both countries to engage in good-faith cooperation in QIST for building a global market and supply chain, and to create respectful and inclusive scientific research communities. In 2018, Sweden established the Wallenberg Centre for Quantum Technology with several universities and industrial partners and is investing 1 billion Swedish Krona ($105M USD) to support advanced research in quantum computing, simulation, communication, and sensing. A news release announcing this signing can be accessed on the U.S. governments Quantum.gov website here.

April 12, 2022

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The U.S. and Sweden Agree to Cooperate on Quantum Technology - Quantum Computing Report

Whats worrying you these days? The war in Ukraine? Maybe inflation? Or is it gas prices at the pump?

All are terrible situations at the current moment. And, quite frankly, none have a clearly outlined near-term solution on the horizon.

But what if I told you that one thing one technological breakthrough that is happening right now could forever solve all those problems?

Because that one thing actually does exist.

You see theres this little thing called quantum computing, and it unequivocally represents the biggest technological revolution of our lifetimes. Forget artificial intelligence (AI). Forget the metaverse. Forget electric vehicles. Forget even the computer or the internet.

Quantum computing will change the world in more profound ways than all those technological revolutions put together.

It will even help us beat both Russia and inflation.

Yep. You read that right. Quantum computing will us beat both Russia and inflation. How? By accelerating the development of a breakthrough forever battery that is the key to helping America achieve energy independence.

Heres a deeper look.

Let me start my discussion of quantum computing by saying that the underlying physics of this technological breakthrough quantum mechanics is a big, complex topic that would require 500 pages to fully understand.

We dont have 500 pages to unpack this, but heres my best job at making a CliffsNotes version in 500 words instead.

For centuries, scientists have developed, tested, and validated the laws of the physical world which are known as classical mechanics. These laws scientifically explain how things work. Why they work. Where they come from. So on and so forth.

But the discovery of the electron in 1897 by J.J. Thomson unveiled a new, subatomic world of super-small things that didnt obey the laws of classical mechanics at all. Instead, they obeyed their own set of rules, which have since become known as quantum mechanics.

The rules of quantum mechanics differ from the rules of classical mechanics in two weird, almost magical ways.

First, in classical mechanics, objects are in one place, at one time you are either at the store or at home.

But in quantum mechanics, subatomic particles can theoretically exist in multiple places at once (before they are observed). A single subatomic particle can exist in point A and point B at the same time until we observe it at which point it only exists at either point A or point B.

So, the true location of a subatomic particle is some combination of all its possible locations.

This is called quantum superposition.

Second, in classical mechanics, objects can only work with things that are also real. You cant use your imaginary friend to help move the couch. You need your real friend to help you.

But, in quantum mechanics, all those probabilistic states of subatomic particles are not independent theyre entangled. That is, if we know something about the probabilistic positioning of one subatomic particle, then we know something about the probabilistic positioning of another subatomic particle. Meaning that these super-complex particles can work together to create a super-complex ecosystem.

This is called quantum entanglement.

So, in short, subatomic particles can theoretically have multiple probabilistic states at once, and all those probabilistic states can work together again, all at once to accomplish a desired task.

Pretty wild, right?

It goes against everything classical mechanics had taught us about the world. It goes against common sense. But its true. And, now, for the first time ever, we are leaning how to harness this unique phenomenon to change everything about everything

Mark my words. Everything will change over the next few years because of quantum mechanics and some investors are going to make a lot of money.

The study of quantum theory has made huge advancements over the past century, especially so over the past decade, wherein scientists at leading technology companies have started to figure out how to harness the magical powers of quantum mechanics to make a new generation of super quantum computers that are infinitely faster and more powerful than even todays fastest supercomputers.

Again, the physics behind quantum computers is highly complex, but heres my CliffsNotes version

Todays computers are built on top of the laws of classical mechanics. That is, they store information on what are called bits which can store data binarily as either 1 or 0.

But what if you could harness the power of quantum mechanics to turn those classical bits into quantum bits or qubits that can leverage superpositioning to be both 1 and 0 data stores at the same time?

Taking it a step further, what if you could take those quantum bits and leverage entanglement to get all of the multi-state bits to work together to solve computationally taxing problems?

You would theoretically create a machine with so much computational power that it would make even todays most advanced supercomputers look like they are from the Stone Age.

Thats exactly what is happening today.

Google has built a quantum computer that is about 158 million times faster than the worlds fastest supercomputer.

Thats not hyperbole its a real number.

Imagine the possibilities if we could broadly create a new set of quantum computers 158 million times faster than even todays fastest computers

Wed finally have the level of AI that you see in movies. Thats because the biggest limitation to AI today is the robustness of machine learning algorithms, which are constrained by supercomputing capacity. Expand that capacity, and you get infinitely improved machine learning algos, and infinitely smarter AI.

We could eradicate disease. We already have tools like gene editing, but the effectiveness of gene editing relies of the robustness of the underlying computing capacity to identify, target, insert, cut, and repair genes. Insert quantum computing capacity, and all that happens without an error in seconds allowing for us to truly fix anything about anyone.

We could finally have that million-mile EV. We can only improve batteries if we can test them, and we can only test them in the real-world so much. Therefore, the key to unlocking a million-mile battery is through cellular simulation, and the quickness and effectiveness of cellular simulation rests upon the robustness of the underlying computing capacity. Make that capacity 158 million times bigger, and cellular simulation will happen 158 million times faster.

The economic opportunities here are truly endless.

One of the most relevant economic, political, and social opportunities that quantum computing will unlock is the ability for America to truly achieve energy independence.

Thats because stable energy independence can only be achieved through clean energies. And energy independence through clean energies can only be achieved through significant battery tech breakthroughs.

On the first point, energy independence via fossil fuels is a lie.

By the very scientific nature of fossil fuels, it is impossible for every country globally to achieve energy independence via oil and natural gas. Thats because those two energy sources are non-renewable and only exist in certain places on Earth. In some places, like Russia, fossil fuels are abundant. In other places, they are not.

Therefore, a global energy infrastructure built on top of fossil fuels is one that will forever be mired in energy dependence. A select handful of countries like Saudi Arabia and Russia will forever supply the vast majority of oil and natural gas to the world. Not to mention, those fossil fuels will run out, likely before the century is out. Then what? Will our kids and grandkids just not have power?

The solution, of course, is energy independence through clean energies.

The sun does shine pretty much everywhere on Earth. The wind does blow most places, too. And both are renewable energy sources that will never run out. Therefore, a global energy infrastructure built on top of solar, wind, and hydrogen power is one that sets the stage for durable energy independence.

But that energy infrastructure will require better batteries than we have today.

Thats because clean energies are mostly intermittent. That means they need to be stored in order to be reliably accessed. To store these clean energies, we can use batteries. But todays batteries arent very good at storing clean energy. Normally, they can only store up to 4-hours-worth of energy.

Thats not much and its certainly not enough to power the world.

Therefore, to achieve true energy independence we need better batteries and quantum computing will help us do that.

Want to beat inflation? Want to beat Russia? Want to kiss those high gas prices goodbye? And cut your energy bill to zero?

For me, the answer to all those things is a resounding yes! And thats why Im such a huge proponent of quantum computing technology. At scale, it could solve each of these problems.

The reality is that batteries are built using computers. Make those computers infinitely smarter and faster, and you suddenly make batteries infinitely better.

Thats why one of the worlds leading quantum computing startups just partnered with Hyundai to make better batteries.

But thats just the start. We believe the convergence of quantum computing research with battery science will give birth to a multi-trillion-dollar energy revolution.

And at the epicenter of that convergence is one tiny $2 stock.

This company is working on the exact type of forever battery technology whose development could be meaningfully accelerated by quantum computing.

In other words, this companys technology plus quantum computing could legitimately change the world.

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Sound like a good deal? It is. If youre interested in hearing more about this tiny stock, its ticker symbol, name, and key business details, click here.

On the date of publication, Luke Lango did not have (either directly or indirectly) any positions in the securities mentioned in this article.

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Quantum Computing Will Help America Beat Both Inflation & Russia - InvestorPlace