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LEESBURG, Va., May 23, 2023 /PRNewswire/ --Quantum Computing Inc. ("QCI" or the "Company") (NASDAQ: QUBT), a first-to-market full-stack photonic-based quantum computing and solutions company, today announces that it received a follow-on task order to its subcontract award announced on February 8, 2023, to support NASA in remote sensing and climate change monitoring. In addition to testing its proprietary quantum photonic system for remote sensing applications (QLiDAR), QCI will also be processing satellite images by utilizing its photonic-based reservoir computing technology. This initial testing engagement is expected to be completed during the second quarter of 2023.

Dr. William McGann, QCI Chief Technology Officer commented, "Sunlight interference (noise) is a huge issue in space-based LiDAR remote sensing. LiDAR measurements of the air, and the optically thin aerosols/clouds during daytime from space experience compromised signal integrity. As a result, it is very difficult, if at all possible, to make good daytime LiDAR measurements from space with adequate signal-to-noise-ratios. In this expanded project, we will explore reservoir photonic computing to remove sunlight noise in satellite LiDAR images, thereby enabling daytime operations of spaceborne LiDAR systems. Our current prototype systems have shown outstanding performance in both pattern prediction and recognition, demonstrating good potential for sunlight noise removal. Through this project, we hope to prove the concept and develop a roadmap for future large-scale deployment to help NASA and many other potential customers."

QCI, through its wholly owned subsidiary, QI Solutions, which focuses on federal government projects, will perform both the original quantum LiDAR work as well as applying photonic computing capability to process the LiDAR data. This will be accomplished under a subcontract from Science Systems Applications, Inc. (SSAI), a leading scientific, engineering and IT solutions provider. Under the expanded subcontract, QCI will run the data from the QLiDAR system through the photonic-based reservoir computer to improve the calculation of the level of water released from snowmelt. Upon successful completion of the task under the new subcontract, follow-on options include airborne testing and positioning these devices together with the photonic reservoir system to enhance the signal integrity of the satellite images to create a network for monitoring snow levels globally. This will promote a better understanding of climate changes and provide accurate data for industry and agriculture.

"This expanded contract is a significant opportunity for QCI to demonstrate and validate two distinct QCI technology offerings to the recognized preeminent global leader in space research and exploration," commented Sean Gabeler, President of Q1Solutions. "QCI's photonic LiDAR and reservoir photonic computing systems deliver new measurement and data processing capabilities with single-photon sensitivity, strong noise rejection, and high-ranging spatial resolution and image fidelity at great distances through challenging environments such as snow, ice and water, during night or day. QCI systems are built for easy, scalable, and versatile use with favorable size, weight, power, and cost combined with increased connectivity and capacity, decreased training bias, and strengthened security."

For additional information on the company's suite of solutions, please visit our websiteor contact our team directly.

About Quantum Computing Inc. (QCI)

Quantum Computing Inc. is a full-stack quantum hardware and software company on a mission to accelerate the value of quantum computing for real-world business solutions, delivering the future of quantum computing, today. The company delivers accessible and affordable full-stack solutions with real-world industrial applications, using photonic-based quantum entropy, which can be used anywhere and with little to no training, operates at normal room temperatures and low power. QCI is competitively advantaged delivering its quantum solutions at greater speed, accuracy, and security at less cost QCI's core entropy computing capability, the Dirac series, delivers solutions for both binary and integer-based optimization problems using over 11,000 qubits for binary problems and over 1000 (n=64) qudits for integer-based problems, each of which are the highest number of variables and problem size available in quantum computing today.Using the Company's core quantum methodologies, QCI has also developed specific quantum applications for AI, cybersecurity and remote sensing, including its Reservoir Quantum Computing, reprogrammable and non-repeatable Quantum Random Number Generator and LiDAR products. For more information about QCI, visit http://www.quantumcomputinginc.com.

About QI Solutions, Inc. (QIS)

QI Solutions, Inc., a wholly owned subsidiary of Quantum Computing Inc., is a supplier of quantum technology solutions and services to the government and defense industries. With a team of qualified and cleared staff, QIS delivers a range of solutions from entropy quantum computing to quantum communications and sensing, backed by expertise in logistics, manufacturing, R&D and training. The company is exclusively focused on delivering tailored solutions for partners in various government departments and agencies. For more information about QIS, visit https://qiwerx.com/.

Important Cautions Regarding Forward-Looking Statements

This press release contains forward-looking statements as defined within Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. By their nature, forward-looking statements and forecasts involve risks and uncertainties because they relate to events and depend on circumstances that will occur in the near future. Those statements include statements regarding the intent, belief or current expectations of Quantum Computing Inc. (the "Company"), and members of its management as well as the assumptions on which such statements are based. Prospective investors are cautioned that any such forward-looking statements are not guarantees of future performance and involve risks and uncertainties, and that actual results may differ materially from those contemplated by such forward-looking statements.

The Company undertakes no obligation to update or revise forward-looking statements to reflect changed conditions. Statements in this press release that are not descriptions of historical facts are forward-looking statements relating to future events, and as such all forward-looking statements are made pursuant to the Securities Litigation Reform Act of 1995. Statements may contain certain forward-looking statements pertaining to future anticipated or projected plans, performance and developments, as well as other statements relating to future operations and results. Any statements in this press release that are not statements of historical fact may be considered to be forward-looking statements. Words such as "may," "will," "expect," "believe," "anticipate," "estimate," "intends," "goal," "objective," "seek," "attempt," "aim to," or variations of these or similar words, identify forward-looking statements. These risks and uncertainties include, but are not limited to, those described in Item 1A in the Company's Annual Report on Form 10-K, which is expressly incorporated herein by reference, and other factors as may periodically be described in the Company's filings with the SEC.

SOURCE Quantum Computing Inc.

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Quantum Computing Inc. Receives Follow-On Subcontract Award to ... - PR Newswire

[Editors note: How Quantum Computing Is Already Changing the World was previously published in December 2022. It has since been updated to include the most relevant information available.]

Im a history junkie. So, in this special Sunday issue of Hypergrowth Investing, let me share an interesting story that I bet a lot of you have never heard before. And interestingly enough, it could be the key to helping you capitalize on the AI Revolution.

In attendance were scientists that, today, we praise as the brightest minds in the history of mankind.

Albert Einstein was there; so was Erwin Schrodinger, who devised the famous Schrodingers cat experiment, and Werner Heisenberg, the man behind the world-changing Heisenberg uncertainty principle and Louis de Broglie, Max Born, Niels Bohr, Max Planck.

The list goes on and on. Of the 29 scientists who met in Brussels in October 1927, 17 of them went on to win a Nobel Prize.

These are the minds that collectively created the scientific foundation upon which the modern world is built.

And yet, when they all descended upon Brussels nearly 94 years ago, they got stumped by one concept. Its one that, for nearly a century, has remained the elusive key to unlocking humankinds full potential.

And now, for the first time ever, that concept is turning into a disruptive reality through breakthrough technology that will change the world as we know it.

So what exactly were Einstein, Schrodinger, Heisenberg and the rest of those Nobel laureates talking about in Brussels back in 1927?

Quantum mechanics.

Ill start by saying that the underlying physics of this breakthrough quantum mechanics is highly complex. It would likely require over 500 pages to fully understand.

But, alas, heres my best job at making a Cliffs Notes version in 500 words instead.

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

But in 1897, J.J. Thomson discovered the electron. And he 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 that of classical mechanics in two very 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, not both.

But in quantum mechanics, subatomic particles can theoretically exist in multiple places at once before theyre observed. A single subatomic particle can exist in point A and point B at the same time until we observe it. And at that 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 positions.

This is calledquantumsuperposition.

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

But in quantum mechanics, all of 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 already super-complex particles can actually 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 their task.

And that, in a nutshell, is the scientific breakthrough that stumped Einstein back in the early 1900s.

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

The study of quantum theory has led to huge advancements over the past century. Thats especially true over the past decade. Scientists at leading tech companies have started to figure out how to harness the power of quantum mechanics to make a new generation of superquantum computers.And theyre infinitely faster and more powerful than even todays fastest supercomputers.

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

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

But what if you could turn those classical bits into quantum bits qubits to leverage superpositioning to be both 1 and 0 stores at once?

Further, what if you could leverage entanglement and have all multi-state qubits work together to solve computationally taxing problems?

Theoretically, youd create a machine with so much computational power that it would make todays most advanced supercomputers seem ancient.

Thats exactly whats happening today.

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

Thats not hyperbole. Thats 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 artificial intelligence (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. With quantum computing capacity, 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 on the robustness of 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 applications here are truly endless.

But so are the risks

Most of todays cybersecurity systems are built on top of math-based cryptography. That is, they protect data through encryption that can only be cracked through solving a super-complex math problem. Today that works because classical computers cannot solve those super-complex math problems very quickly.

But quantum computing 158 million times faster than todays classical computers can solve those problems in the blink of an eye. Therefore, quantum computers threaten to make obsolete math-based cryptography as we know it. And this will compromise the bulk of the worlds modern cybersecurity systems.

Insiders call this the Quantum Threat. Its a huge deal. When it arrives, no digital data will be safe.

Back in 2019, computer scientists believed the Quantum Threat to be a distant threat something that may happen by 2035. However, since then, rapid advancements in quantum computing capability have moved up that timeline considerably. Today many experts believe the Quantum Threat will arrive in the 2025-to-2030 window.

That means the world needs to start investing in quantum-proof encryption today. And thats why, from an investment perspective, we believe quantum encryption stocks will be among the markets biggest winners in the 2020s.

The global information security market is tracking toward $300 billion. That entire market will inevitably have to shift toward quantum encryption by 2030. Therefore, were talking the creation of a $300-billion market to save the planet from a security meltdown.

And at the epicenter of this multi-hundred-billion-dollar, planet-saving megatrend is one tiny startup pioneering the most robust quantum encryption technology platform ever seen

This company is working with the U.S. and U.K. governments and various other defense and intelligence agencies to finalize its breakthrough technology. The firm plans to launch the quantum encryption system globally in 2023.

If the tech works at scale, this stock which is trading for less than $20 will roar higher by more than 10X by 2025.

Trust me. This is a stock pick you are not going to want to miss. It may be the single most promising investment opportunity Ive come across over the past year.

Gain access to that stock pick and a full portfolio of other potential 10X tech stock picks for the 2020s.

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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How Quantum Computing Is Already Changing the World - InvestorPlace

Optical computers work through photonic transfer. They could be fast, with minimal heat loss during transfer. Theres controversy over the promises of photonic technology.

Optical computing is fast becoming a major player, especially in the realm of AI. Youd be forgiven for never having heard of it, but it involves lasers and light-speed, so why not find out more?

Optical computers, also known as photonic computers, perform digital computations using you guessed it photons. Light waves produced by lasers or incoherent sources are used as a primary means for carrying out numerical calculations, reasoning, artificial intelligence, data processing, data storage and data communications for computing.

Like any computer, an optical computer needs three things to function well:

The history of optical computing is interlinked with the development of radar systems. In the 1960s, the invention of the laser saw the first schemes for an all-optical computer proposed, and since the 1990s, the emphasis has shifted to optical interconnection of arrays of semiconductor smart pixels.

Traditional computers use electrons to carry out calculations, but photons have the capacity to enable a higher bandwidth; visible and infrared (IR) beams flow across one another without interacting, unlike electrons, so they can be constrained to what is effectively two-dimensional computing.

Three-dimensional wiring is necessary in traditional computers to direct electrical currents around one another. So, a photonic computer can be smaller than its more common counterpart. Like traditional computing, optical computers use logic gates and binary routines to perform calculations, but the way these calculations are performed differs.

Optical computing can achieve similarly efficient and reliable computation to the silicon channels and copper wires that enable electronic computers to function, by using plasmonic nanoparticles. Further, the absence of physical wires means that optical computers are less prone to damage from heat or vibrations.

Because photons can be easily manipulated and controlled, photonic computers are faster and more efficient. Photon movements can be guided and controlled in such a way that they can turn corners and carry on without a significant loss of power. Light can be easily contained and loses less information during travel, which is especially useful in situations where the interconnects might heat up, which slows electrons movement.

Photonics have a high throughput of >1TB/s per channel (of which there can be many in close proximity), compared to copper wires capability of 1GB/s per channel.

The hope is that the use of light or information shuttling will result in the development of exascale computers. Exascale computers could perform billions of calculations every second, 1000x faster than the current fastest systems.

So, we can weigh up the advantages and disadvantages of this alternative mode as follows:

Advantages of optical computing:

The disadvantages are:

There are disagreements among researchers when it comes to the capabilities of optical computers. Whether or not they can compete with semiconductor-based electronic computers in terms of speed, power consumption, cost, and size is an open question.

Critics argue that real-world logic systems require logic level restoration, cascadability, fan-out and input-output isolation, all of which are currently provided by electronic transistors at low cost, low power, and high speed. For optical logic to be competitive beyond niche applications, major breakthroughs in non-linear optical device technology would be required, or even a change in the nature of computing itself.

Another option would be creating a hybrid system that integrates optical solutions into digital computing. However, there are impediments to the use of optics in digital computing that perhaps demand a much more guarded view of the ability of optics to compete with digital electronics.

Digital computing requires nonlinear elements to process digital data. The required functionalities of nonlinear elements are all delivered by transistor circuits in electronic computing. For large scalable logic circuits, no optical element or circuit, active or passive, can do all that and also compete with transistors in the metrics of energy consumption and small device footprint.

In digital communications, fiber optic data transfer is already prevalent. Fiber optics use light for data manipulation. This is the area in which optical technology has advanced the most: its used enough that its already common in the lexicon of data transfer.

Fiber optic cables can contain a varying number of glass fibers, along which information is transmitted as light pulses. Fiber optic cables have advantages over copper cables, including higher bandwidth and transmit speeds. You might have noticed that these pros echo those of optical computing.

However, making the switch is much simpler when it comes to fiber optics cables, which are already used for internet, television and telephone connections.

Areas of active research aiming to overcome some of the current limitations of photonic computing include:

A spinout of MIT, Lightelligence is developing the next generation of computing hardware. Founded in 2017, the company claims to have transformed the cutting-edge technology of photonics into groundbreaking computing solutions, which not only bring exponential improvements in computing power, but also dramatically reduce energy consumption.

In basic terms, its research uses a silicon fabrication platform used for traditional semiconductor chips, but in a novel way. In the optical domain, arithmetic computations are done with physics instead of with logic gate transistors that require multiple clocks.

Yichen Shen, co-founder and CEO of Lightelligence, said that because the system its developing generates very little heat, it has a lower power consumption than electron-powered chips.

Were changing the fundamental way computing is done, and I think were doing it at the right time in history, says Shen. We believe optics is going to be the next computing platform, at least for linear operations like AI.

Yes like all of the tech world at the moment, optical computing has a vested interest in AI. However, instead of thinking about how artificial intelligence could help it, photonic computing might facilitate the further development of AI.

For example, self-driving vehicles rely on cameras and AI computations to make quick decisions. The conventional chip doesnt think fast enough to make the split-second decisions necessary, so faster computational imaging is needed for quick decision making. Thats what Lightelligence says its achieving using photonics.

We couldnt talk about radical changes to computational systems without touching on quantum computing. Due to the unique properties of quantum mechanics, quantum computing can solve problems beyond the capabilities of the most advanced computers, including photonic.

The area in which optical computing is ahead of quantum is the speed at which (simpler) calculations can be performed. In some cases, optical computing is faster than quantum. In many cases, optical computing is being researched for use in tandem with quantum computers. Both have the potential to revolutionize computation and data processing.

Weve yet to see an optical computer, but were at the frontier of developments. Since 2012, Moores law (that the number of transistors in an integrated circuit doubles every two years) has been defunct: AI compute doubles every 3.4 months. Weve come incredibly far, incredibly fast.

Photonic computers might be closer than we think.

Read more from the original source:
Optical computing: the power of light - TechHQ

Core DAO is merging proof-of-work (PoW) and delegated proof-of-stake (DPoS) with the hope of solving the blockchain trilemma.

The blockchain trilemma refers to the trade-offs layer-1 solutions must make when building a blockchain network. Between optimal security, scalability and decentralization, networks must only choose two out of the three elements.

Ethereum, for example, prioritizes security and decentralization, but is not extremely scalable. For this reason, with more users on the network, gas prices increase and transaction speeds slow down. The network has since introduced sidechains layer-2 solutions to resolve this issue.

Core DAO has taken a different approach by using its Satoshi Plus Consensus. This consensus mechanism bridges PoW and DPoS, Rich Rines, an initial contributor at Core DAO, told Blockworks.

You get traditional DPoS elements on one side, then the other part that is quite unique is the proof-of-work part or delegated hash, Rines said. We have an actor in our system called relayers, and what they do is run an on-chain light client for Bitcoin.

Bitcoin block headers get transmitted to the Bitcoin light client through these relayers, Rines explained. Miners who are securing the Bitcoin network will have the ability to opt into having their hash power the Satoshi Plus consensus meaning they must delegate their hash to a validator run by themselves or a third party.

It is important to note that this type of delegation will simply repurpose miners work without them having to choose between securing two different networks. This way, the network can remain decentralized through Bitcoin computing power and scalable through DPoS.

Its very hard to be as decentralized as Bitcoin, we idolize Bitcoinand part of our reward mechanism is those rewards that come to the delegated hash, which goes to mining pools and sent to the miners directly allow Bitcoin security to increase, and there is no additional energy expenditure, Rines said.

By combining Bitcoin computing power for decentralization, DPoS leadership that enables scalability and the entire network operations to maintain security, Rines notes that Core DAO is able to create a layer-1 solution that combines the three core elements of blockchain technology.

Core DAO has recently launched a $200 million ecosystem fund to grow the Satoshi Plus Consensus. The project will use the fund to grow projects in the ecosystem, funding marketing, research and recruiting programs.

Unlike other projects, were looking at it a little differently, the question we always want answered is, is this good for our users, we want to give them unique experiences that they cant get anywhere else, and we want to continue to double and triple down on that, Rines said.

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Core DAO Is Using Bitcoin to Solve the Blockchain Trilemma - Blockworks

Investing in bitcoin comes with its share of rewards and risks, and understanding these is key to making an informed decision. As Sciberras puts it: Investing in bitcoin isnt a straightforward yes or no. It depends on many factors, including the global economic climate, regulatory landscape, technological developments and your own personal situation.

In scenarios where there is large-scale money printing or loosening of monetary policy by the US and other nations, bitcoin could fare well. Sciberras explains: bitcoin was created as an alternative to the current system during the 2008 GFC. If we return to these conditions, bitcoin could perform well in such an environment.

Bitcoins halving, a preprogrammed event that decreases the reward for mining new blocks, could potentially drive prices higher, as it has done in previous cycles. With the next halving fast approaching in April 2024, there is a significant catalyst for positive price action which investors should be aware of. If bitcoin follows a similar trend to past market cycles, the upcoming halving could drive prices higher as the market adjusts to the new decreased block reward, says Sciberras.

The continued development of scalability solutions such as the lightning network could also boost bitcoins value. Sciberras believes that if we see businesses creating Lightning Network or Bitcoin-focused products, we could see an expansion of its use as payment, increasing adoption and possibly price.

However, bitcoins future isnt without potential hurdles. If bitcoin continues to be (targeted) by governments and its energy consumption is further politicised, then it could put pressure on bitcoins long-term sustainability, warns Sciberras.

One of the significant long-term concerns for bitcoin is its security in the face of a decreasing block reward. If there is lacklustre adoption and demand for Bitcoin or fee revenue is inadequate to incentivise miners to upgrade their hardware and mine new (less) bitcoins, security could decrease and threaten the network. While this is unlikely to be an issue in the next decade, it does remain an unanswered question for Bitcoins future in the long term.

Sciberras reminds us of an often overlooked possibility: Bitcoin can go to zero, just like any innovation surpassed by a newer incumbent or a combination of the above, reducing trust, accessibility, or demand for bitcoin.

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