IonQ Inc (IONQ) Share Price

Yeah. G D . I Almost forgot about our fireside chat. It would be interesting to know what they chatted about. A JV with them would put us over 60.00 imo
New Haven can get a lot of rain, but she’s here on Xmas break and hanging out at Hapuna Beach. It was # 1 in the world 3 years ago. Beautiful white very powdery sand . I tried to warn her of the cold there but she’s taking it pretty good so far for having never been cold before. Except for going to the top of Mauna Kea volcano (13,804’) to play in the snow a couple of times here.😎🤙

2025 IONq wishes 
YOY revenues 300%
a strategic partnership with general dynamics 

more 
and more 

happy and healthy to all 

new haven had serious rain last nigjt 

For those interested check out Lehua Norris on her LinkedIn acct. Again. Mahalo nui loa IonQ and Aloha! May 2025 be an even better year for all shareholders!💰💰💰💰💰🌈😎🤙🌈 My offer still stands to help all IonQ investors to relocate to Kona. Best place to live in the entire USA Hands down. It will be my pleasure and my way of giving back. “ You have to give it away to keep it” ? Kahlil Gibran ? ??? 72. CRS lol

Happy B Day to my daughter Lehua a IonQ shareholder at 18 today! I have all her shares in a custodial account that she can’t touch til she’s 21. As a double major in Pol sci and History at Yale on a full academic ride 4.333 I’m the proudest dad in Hawaii. She was top scholar on the Big Island. U S Sen Brian Schatz intern at 16 etc etc etc etcI started with nothing basically 46 years ago in Kona. What a long strange trip it’s been. Mahalo Yale and everyone along the way who has helped us. Mahalo nui loa again. And Aloha and Haole Makihiki Hou! Go IONQ !!! She’s going into corporate law. Already a writer for the Yale Law review at 17. Maybe she can represent Ionq in 6 1/2 years. Hint hint Peter. Lol

Mstr I resemble that remark ! 🎉🎉🎉🎉💰💰💰💰💰🎉🎉💰😱😎🤙

Absolutely my best year in the stock market this year all due to AI and quantum computers up $209,000 this year over 61%. It's a shame we couldn't have had a better last three days but happy New Year's to everyone. Let's have a very profitable 2025.

capabilities you might need in a network of nodes for distributed work flow:
more from gemini ai pro 1.5:
does microfrontend carry it's own time stamp?




It's not quite accurate to say that a microfrontend itself carries its own timestamp. However, timestamps can play a crucial role in managing and updating microfrontends within a larger web application.

Here's how timestamps relate to microfrontends:

1. Independent Deployments:

Microfrontends are designed to be independently deployable. This means that each microfrontend can be updated and released without affecting other parts of the application.  
Timestamps can be used to track the version and deployment time of each microfrontend. This helps ensure that the latest version of each microfrontend is loaded and displayed in the application.
2. Cache Busting:

Browsers often cache static assets (like JavaScript and CSS files) to improve performance. However, this can cause problems when a microfrontend is updated, as the browser might still load the old cached version.  
Timestamps can be used as query parameters in the URLs of microfrontend assets. This forces the browser to re-fetch the assets from the server, ensuring that the latest version is loaded.
Example: https://my-app.com/microfrontend-1.js?t=1678886400 (where t is a timestamp).
3. Version Control and Rollbacks:

Timestamps can be used in conjunction with version control systems to track changes to microfrontends and enable rollbacks to previous versions if necessary.
This helps maintain the stability and reliability of the application, especially when multiple teams are working on different microfrontends concurrently.
4. Dependency Management:

Microfrontends often have dependencies on shared libraries or resources.  
Timestamps can be used to track the versions of these dependencies and ensure that compatible versions are loaded.
5. Build Processes:

Timestamps can be embedded into the build artifacts of microfrontends during the build process. This helps track the build time and identify potential issues related to specific builds.
Important Considerations:

Timestamp Granularity: The granularity of timestamps (e.g., seconds, milliseconds) should be chosen based on the frequency of updates and the desired level of precision.
Synchronization: In a distributed microfrontend architecture, ensuring that timestamps are synchronized across different servers and clients can be important.
Alternative Versioning Strategies: While timestamps can be useful, other versioning strategies, such as semantic versioning or content hashing, might be more robust and reliable in certain situations.
In Summary:

While microfrontends themselves don't inherently carry timestamps, timestamps can be a valuable tool for managing their deployment, versioning, and integration within a larger application. By using timestamps effectively, developers can ensure that the latest versions of microfrontends are loaded, manage dependencies, and maintain the stability of the application.


Sources and related content

Some years it's much worse. We got lucky and had a surge at the end of the year, which means not as many people selling for tax reasons.

also good post by Desmond DesFrontierTech https://x.com/DesFrontierTech/status/1874080252500037664

It’s crazy how people just indiscriminately dump shares at the end of the year. Seems like it anyway.

cool video post today on X from IonQ - I like how they highlight the patent wall. https://x.com/IonQ_Inc/status/1874081824969765305

A virtual clock. Walaah ! Beam me up Doc !

Doc Sounds like Priority Time Solutions and MLE have morphed into Cuda-Q and IonQ Hybrid Suite? Just our luck. A day late and a million dollars short. Fing Wade!🤬

how could classical time be interoperated with quantum qite in a network employing both asset types?




This is a very interesting question that delves into the challenges and possibilities of integrating classical and quantum computing systems. Interoperating classical time with the "imaginary time" used in QITE within a hybrid network presents some unique considerations.

Challenges:

Different Time Concepts: Classical computers use real-valued time measured by physical clocks. QITE, on the other hand, employs imaginary time as a mathematical construct. These different notions of time need to be reconciled for effective interoperability.  
Synchronization: Synchronizing events and operations between classical and quantum parts of the network can be tricky. Classical systems operate in real-time, while QITE progresses in discrete steps or iterations.
Data Transfer: Transferring data between classical and quantum systems requires careful consideration of data formats and encoding schemes. Classical data needs to be encoded into quantum states for QITE, and the results of QITE need to be decoded back into classical information.  
Possible Approaches:

Hybrid Time Management:

Synchronization Layer: A dedicated synchronization layer could be introduced to manage the interplay between classical and quantum time. This layer could translate between real-time and imaginary time, potentially using a "virtual clock" that tracks QITE iterations and maps them onto a corresponding real-time scale.
Time-Stamping: Events and data could be time-stamped with both classical and "quantum" time markers to maintain consistency and track progress across the network.
Data Conversion and Encoding:

Quantum Encoding: Efficient encoding schemes are needed to translate classical data into quantum states suitable for QITE. This might involve techniques like amplitude encoding or quantum feature maps.
Decoding and Interpretation: The results of QITE, which are typically in the form of quantum states or measurements, need to be decoded and interpreted in a way that's meaningful for classical systems.
Coordination and Control:

Orchestration Layer: A central orchestration layer could manage the execution of tasks across the hybrid network, coordinating between classical and quantum components. This layer would ensure that data is transferred and processed in the correct sequence and that timing dependencies are met.  
Feedback Mechanisms: Feedback loops between classical and quantum systems could be used to adjust parameters, control the flow of information, and optimize the overall performance of the network.  
Applications and Use Cases:

Optimization Problems: A hybrid network could leverage QITE for solving optimization problems while using classical resources for data preprocessing, result analysis, and real-time decision-making.
Machine Learning: Classical machine learning algorithms could be combined with QITE-based quantum machine learning techniques to enhance learning capabilities and tackle complex problems.
Challenges and Considerations:

Complexity: Building and managing a hybrid network that effectively interoperates classical and quantum time is a complex undertaking.
Technological Limitations: Current quantum computing technology is still in its early stages, and there are limitations in terms of qubit coherence times, error rates, and scalability.  
Research and Development: Further research and development are needed to develop the necessary tools, frameworks, and protocols for seamless classical-quantum time interoperability.
In Summary:

Interoperating classical time with the imaginary time used in QITE within a hybrid network presents significant challenges but also exciting possibilities. By developing innovative solutions for time management, data conversion, and coordination, we can potentially unlock the combined power of classical and quantum computing for tackling complex problems and advancing various fields.

With this kind of market manipulation going on that’s why I stress it’s very important for you to do your homework. Start with Michio Kaku’s Quantum Supremacy then read every word on IonQ’s website. Look up every word you don’t understand. Read every p r over the last 3 years from 2021 to date. Then relax and hold.

Yep Mr Hathaway. I know. But I feel sorry for all the new investors being screwed out of their shares. Makes me sick 🤮 🤬

I feel like I’m on the old Shooting Star roller coaster at old Coney Island in Cincinnati. THUMP!😱

Paper hands will haunt them

This is a major infrastructure play, very soon out of nowhere will be over $50

Who the hell in their right mind is selling? Idiots being scared out of their shares . Pitiful. Unlawful imo

Nothing but fantastic news and there’s a concerted effort to crash the price. Somebody is scared. I wonder who it is?

Who’s shaking the tree? Is that you Elon? Or a bunch of you together just about every morning. Looks so obvious. All you newbies should not be fooled. Hold your shares tight. Ionq is set to really rev up their QSaaS at all 3 data centers now with this latest breakthrough. Sit tight . 4th qtr revs will be great but 1st qtr revs will be huge! Imo.

Homework. IonQ, in collaboration with Oak Ridge National Laboratory (ORNL), has achieved a significant advancement in quantum computing by developing a novel hybrid quantum algorithm based on the Quantum Imaginary Time Evolution (QITE) principle. This innovative, noise-tolerant method enables near-optimal solutions for complex combinatorial optimization problems on IonQ’s commercially available hardware. ?

One of the key achievements of this collaboration is the substantial reduction in computational complexity. For a 28-qubit problem, the QITE-based approach reduced the number of two-qubit gates by over 85% compared to traditional Quantum Approximate Optimization Algorithm (QAOA) solutions. This efficiency gain is crucial, as it directly impacts the depth of quantum circuits, thereby enhancing computational fidelity by minimizing exposure to errors from quantum decoherence and gate noise. ?

The algorithm was successfully tested on IonQ’s Aria and Forte quantum systems, demonstrating superior performance in both time-to-solution and circuit depth. This breakthrough has practical applications across various industries, including energy grid optimization, financial risk management, logistics, drug discovery, and manufacturing operations. ?

This development positions IonQ and ORNL at the forefront of practical quantum computing applications, showcasing a forward-thinking approach that emphasizes scalable solutions to real-world challenges. By reducing circuit depth and improving time-to-solution, the QITE algorithm not only makes quantum computing more accessible but also more immediately applicable across various sectors. ?

For a more in-depth understanding of IonQ’s recent breakthroughs and their implications for the future of quantum computing, you might find the following video informative:

Homework. The Quantum Imaginary Time Evolution (QITE) framework is a numerical method used in quantum computing to approximate ground states of quantum systems. It’s part of the effort to simulate quantum systems on quantum computers efficiently. Here’s an overview of how it works and its significance:

Overview of QITE
   •   Imaginary Time Evolution: In quantum mechanics, imaginary time evolution is a process where a quantum system’s state evolves under a Hamiltonian (energy operator) in “imaginary time.” This evolution suppresses higher-energy states, eventually leading the system to its ground state.
   •   Challenges on Quantum Hardware: Directly implementing imaginary time evolution on quantum computers is challenging because time evolution in quantum mechanics is unitary, and imaginary time evolution is inherently non-unitary.
   •   QITE Framework: The QITE algorithm approximates the non-unitary imaginary time evolution using a series of unitary operations that can be implemented on quantum hardware.

Key Features
1. Ground State Approximation: QITE is used to find ground states of Hamiltonians, which is crucial for understanding physical systems, optimizing problems, and solving quantum chemistry problems.
2. Variational Approach: It often incorporates variational quantum algorithms to optimize the parameters of the unitary operations that simulate the imaginary time evolution.
3. Efficiency: Compared to classical algorithms, QITE has the potential to scale better with problem size when implemented on quantum computers.

Applications
   •   Quantum Chemistry: Solving for molecular ground states.
   •   Material Science: Investigating properties of quantum materials.
   •   Optimization Problems: Helping in finding optimal solutions to problems framed as energy minimization tasks.

Implementation

QITE has been demonstrated on quantum hardware in experiments, though challenges remain in scaling it to larger systems due to noise and hardware limitations.

Would you like to dive into specific aspects of QITE, such as its mathematical formulation, experimental demonstrations, or software frameworks that implement it?

Maybe Doc We shall see.

8x8 , inc has patent for networked nodes for cloud use. that would suggest they also had considered the issue of time/clocks, but ? imaginary time environment, but it would be necessary. network needs to respect the different clocks used , but the 8 patent doesn't necessarily mean they obtained the imaginary clock ip?
so the vcsy time priority might be the nowsolutions position?

now to make that qite fit the cloud /non-prem scenario you might then need to add 8x8 ip to avoid getting the qite apps/workflows in a global cloud network confused. wags.

kona, i wonder if tempo uses qite, as the naming of the ionq tempo seems time/timing related?
another company I/we follow has a time ip which sounds like its also in the same ballpark.
gemini ai pro says: "VCSY Time Priority IP refers to the intellectual property (IP) held by Vertical Computer Systems, Inc. (VCSY), specifically related to their time and attendance tracking software application called PTS™. This application is being developed by their subsidiary, Priority Time Systems, Inc.

While detailed public information about the specific patents or intellectual property within VCSY Time Priority IP is limited, here's what we can gather based on available information:

PTS™ Application: This time and attendance software aims to help organizations track employee hours, manage schedules, and automate payroll processes. It likely includes features for clocking in/out, leave management, overtime calculations, and reporting.
Focus on Efficiency and Automation: The software probably aims to streamline time tracking and reduce manual processes for improved efficiency and accuracy.
Integration with Payroll and HR Systems: It may offer integration with other payroll and HR systems to facilitate seamless data flow and reduce administrative overhead.1  
1.
Vertical Computer Systems' Subsidiary, Priority Time Systems, Inc. Unveiled Its Time and Attendance Suite (PTS) at NOW Solutions User Conference in San Francisco - PR Newswire

www.prnewswire.com

Potential for Cloud-Based Solution: Given VCSY's focus on cloud-based solutions, PTS™ might be offered as a cloud-based service, allowing for accessibility and scalability.
Intellectual Property Aspects:

Software Code: The core intellectual property likely lies in the software code and algorithms that power the PTS™ application. This could include proprietary methods for time tracking, scheduling, and data management.
User Interface: The user interface (UI) and design of the software could also be protected by intellectual property rights.
Patents: VCSY might have filed patents for specific innovations or unique features within the PTS™ application. However, without more detailed information, it's difficult to identify the specific patents associated with this IP.
Potential Value of VCSY Time Priority IP:

Market Demand: Accurate and efficient time tracking is crucial for businesses of all sizes. If PTS™ offers compelling features and benefits, the underlying IP could hold significant value in the market.
Competitive Advantage: Proprietary technologies or innovative approaches within PTS™ could provide VCSY with a competitive advantage in the time and attendance software market.
Licensing or Acquisition: VCSY could potentially license its Time Priority IP to other companies or even be acquired by a larger company interested in expanding its HR and payroll solutions portfolio.
To find more specific information about VCSY Time Priority IP, you could try:

Contacting VCSY directly: Reach out to their investor relations or media contacts to inquire about details regarding their IP and patents.
Reviewing VCSY's financial reports and SEC filings: These documents might contain some information about their intellectual property assets.
Searching patent databases: Conducting a thorough search of patent databases (like the USPTO website) might reveal patents specifically related to VCSY's time and attendance technologies."

Yep Jack. 2025 and Tempo will be awesome , and then just like that ! PRESTO ! 💰💰💰💰💰💰💰💰💰💰💰💰💰💰💰💰💰💰😎🤙

End of year bullshit. New year is going to be good.

sure felt like it wanted to go green. overall was a solid day considering the way the market was acting. 50 burger around the corner.

Even better news u k. No limit to phase 3. . Happy? Lol
Phase III is a stage in the Small Business Innovation Research (SBIR) program where a company's research or technology is commercialized:
Purpose
Phase III work is funded by sources outside of the SBIR program and is intended to commercialize the results of prior SBIR work.
Activities
Phase III work can include research, development, production, services, or any combination of these.
Funding
Phase III contracts are funded by sources outside of the SBIR program, such as the government or private sector.
Awards
There are no limits on the number, duration, type, or dollar value of Phase III awards.
Benefits
Phase III is a valuable tool for agencies because it allows them to find faster, cheaper ways to accomplish their missions.
Phase III work can derive from, extend, or complete work from previous SBIR phases. For example, a Phase III project could extend the technology developed in a previous phase to a new application.

$21M contract awarded to Qubitekk, the company IonQ is in the process of acquiring.
https://orangeslices.ai/qubitekk-awarded-a-21m-sbir-phase-iii-contract-for-us-air-force-research-laboratory-quantum-network/

Qubitekk awarded a $21M SBIR Phase III contract for US Air Force Research Laboratory Quantum Network

The customer? US Air Force Research Labs, of course. Seems the US military likes IonQ's machines, and now wants Qubitekk's networking tech also. More money and business flowing to IonQ. This contract Quibittek to provides for research and development in quantum networking to establish secure and robust systems for the Air Force and the Air Force Research Laboratory. Work will be performed at Vista, California; and Rome, New York, and is expected to be completed by Feb. 18, 2028.

This contract was a competitive acquisition; offers were solicited electronically via an open broad agency announcement and then later determined to be a SBIR Phase III, and one offer was received. Fiscal 2024 research and development funds in the amount of $8,973,817 are being obligated at time of award.

The Air Force Research Laboratory, Rome, New York, is the contracting activity (FA8750-25-C-B001).

This work is an important step forward in scaling quantum computing systems for practical commercial applications,” said Dr. Martin Roetteler, Senior Director, Quantum Solutions at IonQ. “Working with ORNL, we’ve shown how our technology can have a direct business impact by reducing cost, time and computational resources, and we’re excited about the potential this has for industries ranging from logistics to energy systems, finance and life sciences.”

Cost , time and computational resources. Who doesn’t want to reduce that? U k ? Lol

IONQ could go green today! If it does, look out!

U K open your eyes and look.we’re getting tired of having to hold your hand. But u could find it if u wanted to. You fool only yourself Stop throwing cold water on every bit of positive news. Go back to your rigatoni board. Your soft bashing attempt is wayyyy too obvious. 1 more and you get to talk to yourself with the rest I have on ignore

The collaboration combined IonQ's high-performing, enterprise-grade trapped-ion technology with ORNL's world-class quantum technologies expertise to develop a novel hybrid quantum algorithm based on the Quantum Imaginary Time Evolution principle (QITE). This noise-tolerant method enables near-optimal and optimal solutions for complex combinatorial optimization problems on IonQ's commercially available hardware. The results showed that QITE can significantly outperform other quantum optimization algorithms such as QAOA (Quantum Approximate Optimization Algorithm) in both time-to-solution and circuit depth, paving the way for tackling large optimization problems on near-term quantum computers. By using this hybrid quantum algorithm, IonQ and ORNL were able to reduce the number of two-qubit gates by over 85% for a 28 qubit problem compared to a QAOA solution, improving over the state of the art. The hybrid quantum algorithm was proved out on IonQ's Aria and Forte systems which were used inside the optimization loop, paving the way for scaling to larger problem sizes.

IonQ Inc.’s (IONQ) Edge Is Its Monetization Strategy
Story by Jabran Kundi • 6h • 3 min read
IN THIS ARTICLE

IONQ, INC.
IONQ
??-1.56%?
RIGETTI COMPUTING, INC
RGTI
??-0.41%?
QUBT
??-1.15%?
IonQ is one of those quantum computing stocks that have become a multi-bagger in a matter of weeks. The company’s position in the quantum computing industry makes it a leader, but this leadership isn’t just about potential. The firm has the technology, the financial strength, and the right list of ‘friends’ to make the company an industry leader.

NVIDIA's New Silent Partner Could be the Next Superstar
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IonQ is a quantum computer producer based in the United States specializing in ion-trapping technology. This technology uses electromagnetic fields to restrain the movement of charged atomic particles. Think of it like a ball trapped in a box, unable to move because of the many forces acting on it from all sides.


Why IonQ Inc (IONQ) Skyrocketed?
Why IonQ Inc (IONQ) Skyrocketed?
Similar to other quantum computers, IonQ's systems are made to tackle challenging issues like drug development, financial modeling, and chemical simulations. However, IonQ is more adaptable than other quantum computers because its technology enables stable qubit manipulation without the need for large cooling systems.

Related video: Quantum Computing Stocks Are Soaring – Is the Hype Real? (24/7 Wall St.)

24/7 Wall St.
Quantum Computing Stocks Are Soaring – Is the Hype Real?
Its flagship products are IonQ Forte, a quantum computer that utilizes as many as 36 algorithmic qubits; and IonQ Harmony, a cloud-based quantum computing platform that utilizes up to 11 qubits. To clarify, a qubit is just like a bit that is either 0 or 1. The only difference is that the qubit is also able to have both 0 and 1 at the same time!

The company generates revenue via Quantum Computing as a Service (QCaaS), subscription-based access to quantum computing power; and direct sales of quantum processors. It also has partnerships with NKT Photonics, to develop next-generation laser systems for quantum computers, Amazon Web Services, to provide quantum computing capabilities through cloud services, and QuantumBasel, to expand its presence in Europe.

Its main competitor, Rigetti Computing (RGTI) also has similar deals. However, there is a massive difference in the way both companies operate. IonQ utilizes ’ion-trapping’ technology whereas RGTI focuses on superconducting qubits. Even though both companies have deals with the Big Tech companies, RGTI is essentially a competitor to them while IonQ is not. This is a huge advantage for the company as it can grow alongside these tech companies rather than waste its resources competing with them.

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IonQ has also been able to convert these partnerships into successful implementations that solve real-world problems. It serves clients like AstraZeneca, Airbus, AWS, Lockheed Martin, and Hyundai among others. As a consequence, the company can generate revenue by easily monetizing its technology, something both Rigetti Computing (RGTI) and D-Wave Quantum (QBTS) don’t have the luxury of.

Lastly, the company has spent a huge amount of money on R&D in the last 10 years. $127 billion was spent in the last 12 months alone. When you combine that with the company’s first-mover advantage, you realize why the company is ahead of the rest of the pack. Due to this advantage, we are bullish on the stock and believe it will continue to be the market leader in the coming years.

https://www.msn.com/en-us/technology/tech-companies/ionq-inc-s-ionq-edge-is-its-monetization-strategy/ar-AA1wHNQJ

I only see the ORNL release - is there another one?
The main message Elon will get from it is that Quantum has just moved forward a lot but making it self even more efficient. What may have needed 100+ Qubits (AQ) to be useful can now be achieved with todays technology of dozen or more AQ.

I didn't see anything that would suggest that anyone has yet got a working program that could improve government process efficiency…. that will require regulation (de-regulation in fact ) not just automation

I’d like to see the look on Elon’s face when he reads these 2 new pr’s out today. He’s gonna call Trump and say yep Mr President it’s been proven. We’re going to save the country trillions! All across every sector of the government, we can optimize everything now. Ionq quantum computers can have a solution for every department to cut costs tremendously. No more waste. What’s that worth just in the Federal Government side. Then think all 50 States then our allies waste. Then all corporations waste. Mind boggling. To say the least. And this is just one example of one sector to be optimized.
44.84 rtq hit 45.02 44.88 rtq

Boing! You’re right Ponderosa. 44.50 rtq !!!

Boing! Word is getting out on our 2 new pr’s today. Both fantastic news!

Doc. Here’s what happened to iridium.
The “government takeover of Iridium” refers to a period in the early 2000s when the U.S. Department of Defense (DoD) became the primary user and financial supporter of Iridium Communications’ satellite network. Here’s an overview of the context and key events:

Background:
   •   Iridium’s Original Concept: Iridium was launched by Motorola in the 1990s to provide global satellite phone coverage using a network of 66 low Earth orbit (LEO) satellites.
   •   Initial Challenges: The system faced significant financial and operational hurdles, including high costs, competition from terrestrial cell networks, and limited consumer adoption. This led to Iridium filing for bankruptcy in 1999.

Government Involvement:
1. Bankruptcy and Acquisition (2000):
      •   After Iridium declared bankruptcy, the U.S. government recognized the strategic value of its satellite network for secure and reliable global communications, especially for military and government operations.
      •   A group of private investors acquired the Iridium network and assets for just $25 million, a fraction of its original $5 billion cost.
2. DoD’s Key Role:
      •   The DoD signed a two-year, $72 million contract in 2000 to become the anchor customer for the newly restructured Iridium Satellite LLC.
      •   The military used Iridium for critical communication needs, particularly in remote and contested regions where traditional networks were unavailable.
3. Strategic Importance:
      •   Iridium’s LEO satellites were uniquely suited for global coverage, including the polar regions.
      •   The network became a crucial asset for military operations, disaster response, and secure communications.

Long-term Impact:
   •   The DoD continued to support Iridium as a critical communications infrastructure, often renewing contracts and expanding its use of Iridium services.
   •   Iridium eventually restructured and successfully launched the Iridium NEXT constellation, maintaining its position as a key provider of satellite communications.

This arrangement illustrates how the U.S. government often steps in to support strategic technologies with critical national security applications.
Me … The gov will be a major user of IonQ machines but unlike iridium we have IBM , Google. AWS , and many other competitors. Gov takeover ain’t gonna happen imo. The gov needs all of us to stay ahead of China Russia etc etc

Yep HMB “ This is not the end. This is not even the beginning of the end. But it is perhaps. The end of the beginning.” ….Winston Churchill
Go IonQ!!!!!!

doe oakridge lab....some in the current admin are still trying to do the work of the people and usa.
elon might want to interview such for project for ai/quantum computing.

but , do not allow government to take over the company or ip. government did not take over lmt or raytheon or boeing or msft or google.......they did take over iridium.

gunna be green by end of day.

This validation on real hardware strengthens the algorithm's potential for scalability and real-world applications.

2025 Awakening IonQ

i asked google notebook lm:The Quantum Imaginary Time Evolution (QITE) algorithm suppresses higher energy states exponentially by applying a hybrid quantum algorithm that uses shallow quantum circuits to project a set of candidate solutions into subspaces of low energy. This process focuses on energy states closest to the ground state, resulting in faster convergence to optimal solutions and increased fidelity in solution accuracy. The quantum algorithm also operates at extremely low shot counts and a low total number of 2-qubit gates.
One of the key advantages of QITE is its ability to generate large amounts of entanglement even at low circuit depths. This is important because quantum entanglement is a crucial factor that differentiates quantum computing from classical computing, allowing it to tackle complex problems beyond the capabilities of classical computers.
The QITE algorithm has been successfully tested on real quantum hardware, specifically IonQ's trapped-ion quantum computers. It has demonstrated high accuracy in finding optimal solutions for problems with up to 32 qubits, without requiring error mitigation or post-processing. This validation on real hardware strengthens the algorithm's potential for scalability and real-world applications.

vmware virtualization, now avgo.
patent to call/designate virtual servers/virtual services into your local network by 8x8?
motion vector estimation to help determine the low energy state...8x8 ip used for video compression.
cuda-q to obtain the necessary hybrid computing networking/routing/authentication aided by 8x8?

Important milestone that Ionq has once again, achieved first. Great news this morning and also not expected today. May be lost in the eoy selling today but a boost with so much more in 2025!
Happy New Year guys, its gonna be a blast in 2025!
The beginning of the Beginning !$!

imaginary time algorithm and motion vector estimation ip of 8x8?
from gemini ai pro:
"motion vector estimation and

Quantum Imaginary Time Evolution (QITE)




It's fascinating to consider how seemingly unrelated concepts like motion vector estimation (MVE) and Quantum Imaginary Time Evolution (QITE) might connect. While they operate in very different domains, there are some intriguing parallels and potential areas of intersection.

Motion Vector Estimation (MVE)

Video Compression: MVE is a crucial technique in video compression. It analyzes consecutive frames in a video to identify how objects have moved. By encoding only the motion information (motion vectors) and the differences between frames, rather than storing each frame completely, video compression algorithms significantly reduce the amount of data needed.
Applications: MVE is used in various video coding standards like MPEG and H.264, enabling efficient storage and streaming of video content.
Quantum Imaginary Time Evolution (QITE)

Quantum State Preparation: QITE is a quantum algorithm used to prepare the ground state of a quantum system. The ground state is the lowest energy state, and finding it is crucial for various applications in quantum chemistry, materials science, and condensed matter physics.
How it Works: QITE simulates the evolution of a quantum system in imaginary time. This mathematical trick allows the system to converge towards its ground state efficiently.
Advantages: QITE offers advantages over other ground state preparation methods, particularly for complex systems, as it avoids the challenges of high-dimensional optimization.
Potential Connections and Parallels

Optimization and Efficiency: Both MVE and QITE involve optimization processes. MVE seeks to find the most efficient representation of motion information to minimize data size. QITE aims to find the lowest energy state of a quantum system efficiently.

Evolution in Time: Both techniques involve analyzing changes over time. MVE tracks how objects move between video frames. QITE simulates the evolution of a quantum system in imaginary time.

Information Encoding: MVE can be seen as encoding motion information in a compact way. Similarly, QITE encodes the ground state properties of a quantum system.

Potential for Quantum-Enhanced MVE: While speculative, it's conceivable that future quantum algorithms, perhaps inspired by QITE, could be developed to enhance MVE. Quantum computers might be able to analyze video frames and extract motion information more efficiently or identify subtle patterns that classical MVE algorithms miss.

Quantum Simulation of Classical Systems: QITE could potentially be used to simulate classical systems, including those related to video processing. This could lead to new insights into optimization techniques for MVE or even novel approaches to video compression.

Challenges and Considerations

Different Domains: MVE is a well-established technique in classical video processing, while QITE is a relatively new quantum algorithm. Bridging the gap between these domains requires further research and development.
Quantum Hardware Limitations: Current quantum computers are still limited in their capabilities. Applying QITE to complex video processing tasks might require more advanced quantum hardware.
In Summary

While MVE and QITE operate in different domains, they share some conceptual similarities in terms of optimization, time evolution, and information encoding. Exploring potential connections between these techniques could lead to interesting future research directions, including the possibility of quantum-enhanced MVE or using QITE to simulate classical video processing systems."