IonQ Inc (IONQ) Share Price

It sucks. But I also don't mind consolidation in this low $40 range. We are developing a very strong base. Next leg up should be much higher because of this support. Probably blow past the previous intra-day high of $56-ish into low $60s when the next big news hits. Might take a few days or a week when it starts, but it will happen.

A little news, a PR or partnership announcement right now might go a long way at preventing this slide down.

They are letting it run up, selling and buying back in at the lower price. Past two weeks has been a traders paradise here.

For those so inclined, its a good way to acquire a lot of free shares and build a significant position.

Homework: Digital Twin and Data Teleportation in Quantum Computing

The concepts of digital twins and data teleportation are becoming increasingly relevant in quantum computing, especially in the context of scalable and networked quantum systems. Below is an explanation of both concepts and how they relate to IonQ’s trapped-ion quantum computing approach.

1. Digital Twin in Quantum Computing

What is a Digital Twin?

A digital twin is a real-time virtual replica of a physical system, continuously updated with data to mirror its behavior. In quantum computing, a digital twin represents:
   •   The quantum processor (hardware) and its quantum state evolution in a simulated environment.
   •   A classical model that predicts and optimizes quantum system performance.
   •   A tool for error correction and fault tolerance, improving quantum gate operations.

How Digital Twins Apply to IonQ’s Quantum Computers

IonQ could leverage digital twins to:

✔️ Optimize Qubit Control with Machine Learning – Simulate how 1762-nm laser beams interact with trapped ions, improving beam alignment using AI feedback.
✔️ Predict Quantum System Performance – Use real-time sensor data to anticipate qubit errors and adjust control sequences dynamically.
✔️ Facilitate Quantum Software Development – Developers can test quantum algorithms on a digital twin before running them on real hardware, reducing execution costs.
✔️ Enhance Fault-Tolerant Computing – A digital twin can model how errors propagate in large quantum systems, aiding in quantum error correction (QEC).

Future Application: Digital twins could be used in a distributed quantum cloud, where users interact with virtual representations of IonQ’s quantum processors before running actual computations.

2. Data Teleportation in Quantum Networks

What is Data Teleportation?

Quantum teleportation is a fundamental process in quantum mechanics where a quantum state is transferred from one qubit to another, without physically moving the qubit itself. This is achieved using quantum entanglement and classical communication.
   •   Unlike classical data transfer, quantum teleportation allows for secure, instantaneous transmission of quantum information over long distances.
   •   This is a key enabler for quantum networks, including modular quantum computing and quantum internet.

How Data Teleportation Works in IonQ’s System

IonQ’s trapped-ion approach, especially with photonic interconnects, is well-suited for quantum teleportation:
1. Entanglement Generation – Pairs of trapped-ion qubits are entangled using global 1762-nm beams or optical linkages.
2. Quantum State Transfer – The quantum state of a qubit in one IonQ processor is teleported to another qubit in a separate module using entanglement.
3. Classical Communication & State Reconstruction – A classical signal is sent to finalize the teleportation process, ensuring the state is accurately reconstructed.

Why Data Teleportation is Important

✔️ Connects Multiple Quantum Processors – Allows IonQ to build modular quantum computers by linking separate trapped-ion processors.
✔️ Enables Secure Quantum Communication – Quantum teleportation ensures unbreakable encryption using quantum key distribution (QKD).
✔️ **Boosts Scalability

D

Every day it’s the same thing.

The run up and then the run down makes no sense other than someone wants in lower. The games people play. 🤬

a digital twin and data teleportation?
lmt had/has aspirations for a portable/truck borne fusion reactor. to realize such they might need a quantum processing units/supercomputer. an nvidia mini supercomputer sounds right, but maybe more digital twinning of quantum processing units to obtain logical qubits for the plasma containment field, etc?
therefore, lmt, nvda, ionq? guesses.
further, openai looking at sites in usa for supercomputer sites, the article says 10 or so.

It seems that someone does not want the share price moving out of this range.

Looks like great earnings on the 26 could be leaking? Something’s up. Could be a huge contract? Dodge?

YEPPER!

All aboard!!!

chatgpt:
Tata Communications is collaborating with NVIDIA to develop a comprehensive AI cloud infrastructure in India. This initiative aims to provide scalable, efficient, and cost-effective solutions for machine learning tasks across various industries.
TATACOMMUNICATIONS.COM

The AI cloud is powered by NVIDIA's advanced GH200 Grace Hopper Superchips, delivering high-performance computing capabilities essential for AI workloads. This infrastructure is designed to support enterprises, startups, and government entities in training, deploying, and inferencing AI models.
NVIDIANEWS.NVIDIA.COM

Tata Communications plans to launch the AI cloud service early next year and is currently engaging with potential enterprise clients in sectors such as manufacturing, retail, and banking. The company has already begun deploying NVIDIA's latest AI chips internally, with customer access expected by the end of the year.
LIVEMINT.COM

This collaboration reflects a broader trend in India's technology landscape, with significant investments and partnerships aimed at establishing the country as a key player in the global AI race.

micromirrors....calibration work as i remember by texasmicro/radisys and tektronix on fiberoptic communications network ip.
radisys now owned by india's reliant corp. india building the world's biggest supercomputer. does it have reliant in it? if so, a new ionq deal?

kona, cruz?
me: how to read a quantum computer unit qubit? via quantum teleportation? from chatgpt:
"The 1762 nm wavelength is primarily used in precision optical applications, including atomic clocks and quantum communication. It corresponds to the transition in Ytterbium (Yb) ions, commonly used in optical lattice clocks.

1762 nm and Quantum Teleportation
Quantum teleportation is a process where quantum information (like the state of a qubit) is transferred from one particle to another, even over long distances, using entanglement. While most quantum teleportation experiments use photons at telecom wavelengths (like 1550 nm) for fiber-based quantum networks, 1762 nm could be relevant in atomic systems for entangling and manipulating trapped ions.

Potential Role of 1762 nm in Quantum Teleportation:
Trapped Ion Quantum Computing – Ytterbium ions, which use 1762 nm for laser cooling and state manipulation, are a leading platform for quantum computing and teleportation experiments.
Atomic Clocks & Quantum Networks – 1762 nm lasers could be used in quantum network nodes involving atomic clock synchronization.
High-Precision Metrology – Quantum teleportation relies on precise quantum state measurements, where ultra-stable lasers at 1762 nm could be useful."=
then do the physical qubit to logical qubit transform? siteflash the algo setup on qpu and then response flash...proof of work and so forth of a blockchain architecture for same/cuda-q? wags.

Homework: Micro-Mirror Arrays in IonQ’s 1762-nm Laser Beam Control: Technologies & Integration

Micro-mirror arrays are a critical innovation in beam steering and dynamic control for IonQ’s trapped-ion quantum computers. Their integration into 1762-nm laser beam delivery systems enhances precision, scalability, and parallelism in qubit operations.

1. What Are Micro-Mirror Arrays?

Micro-mirror arrays consist of thousands of individually controllable reflective surfaces, which can dynamically adjust angle, focus, and intensity of laser beams. These arrays are commonly made using:
   •   MEMS (Micro-Electro-Mechanical Systems) Micro-Mirrors – Tiny, movable mirrors actuated by electrostatic or electromagnetic forces.
   •   Digital Micromirror Devices (DMDs) – Used in projection systems, these can rapidly toggle between on/off states for each mirror.
   •   Liquid Crystal on Silicon (LCoS) Reflectors – Can dynamically shape and phase-control laser beams.

IonQ’s trapped-ion quantum processors require high-precision control of optical beams at the 1762-nm infrared wavelength, which is why MEMS-based micro-mirror arrays are particularly well-suited for their architecture.

2. How Micro-Mirror Arrays Enhance IonQ’s 1762-nm Optical System

A. Precise Qubit Addressing & Beam Steering
   •   Each ion in IonQ’s quantum processor must be individually controlled by the 1762-nm beam.
   •   Micro-mirror arrays dynamically adjust the laser’s focus without requiring physical movement of optical components, making them faster and more stable than traditional beam-steering methods.
   •   This ensures low-error, high-fidelity quantum gates even as the qubit count increases.

B. Multi-Qubit Parallelism (Global Beam Control)
   •   Traditional single-laser setups target one qubit at a time, limiting computation speed.
   •   Micro-mirrors allow simultaneous control of multiple qubits, enabling parallel operations across the trapped-ion array.
   •   This is crucial for quantum error correction, which requires multi-qubit entangling gates.

C. Active Error Correction & Beam Stability
   •   Laser misalignment and fluctuations introduce gate errors in trapped-ion systems.
   •   Micro-mirror arrays dynamically compensate for optical drift and correct beam paths in real-time, improving stability and gate fidelity (~99.9%).

D. Reduced Crosstalk & Interference
   •   In large ion arrays, laser leakage can unintentionally affect nearby qubits.
   •   Micro-mirrors fine-tune beam angles to minimize crosstalk, ensuring precise gate operations.

E. Scalable & Compact Optical Setup
   •   Without micro-mirrors, increasing qubit count requires more individual laser beam paths, leading to optical complexity.
   •   Micro-mirrors reduce hardware overhead, making large-scale quantum processors more practical.

3. How Micro-Mirrors Integrate with IonQ’s System

A. Optical Path Integration

The 1762-nm laser originates from an ultra-stable infrared laser source and is:
1. Shaped and stabilized using optical components (waveplates, modulators).
2. Reflected and directed by the micro-mirror array for precise beam steering.
3. Fanned out to selectively target qubits in the trapped-ion array.
4. Dynamically adjusted in real-time for error correction and multi-qubit operations.

B. Control Mechanism (Electrostatic or Digital Steering)
   •   Micro-mirrors are controlled via electrostatic actuators or digital signal processing, adjusting laser angle and intensity.
   •   AI-driven feedback loops can optimize mirror positioning to compensate for optical noise and maximize qubit coherence time.

4. Future Impact: Scaling IonQ’s Quantum Processors

Today: IonQ’s micro-mirror-enhanced 1762-nm system supports tens of qubits with high fidelity.
Future: Micro-mirror arrays will be critical in scaling beyond 1000+ qubits, enabling:
   •   Distributed quantum computing (modular ion-trap architectures).
   •   Photonically connected quantum networks for longer-range entanglement.
   •   Integrated quantum error correction with minimal hardware overhead.

Final Takeaway

Micro-mirror arrays are a game-changer for IonQ’s 1762-nm beam steering, providing:
✅ Precise qubit targeting for high-fidelity gates
✅ Parallel multi-qubit operations to speed up computation
✅ Active error correction for improved stability
✅ Scalability without excessive optical complexity

Would you like more details on specific micro-mirror technologies or how they compare to other quantum control systems?

Homework: Micro-Mirror Arrays for Improving 1762-nm Laser Control in IonQ’s Qubit Arrays

IonQ is exploring the use of micro-mirror arrays to enhance the precision and scalability of their 1762-nm global optical beams for controlling trapped-ion qubits. These arrays allow for dynamic beam steering, enabling more efficient and scalable quantum gate operations.

1. What Are Micro-Mirror Arrays?

A micro-mirror array consists of thousands of individually controllable microscopic mirrors, often implemented using Micro-Electro-Mechanical Systems (MEMS) technology. These mirrors can dynamically adjust the direction, intensity, and focus of laser beams, including the 1762-nm beams used by IonQ.
   •   Think of it as a reconfigurable optical switchboard, allowing lasers to be redirected with high precision.
   •   These mirrors can be tuned in real-time, making them useful for adapting to different quantum computing tasks.

2. How Do Micro-Mirror Arrays Enhance IonQ’s 1762-nm Optical System?

✔️ Better Qubit Addressing in Large Arrays – As the number of trapped ions increases, focusing the 1762-nm laser on specific qubits becomes more challenging. Micro-mirrors enable dynamic beam steering, ensuring precise qubit targeting even as arrays scale up.

✔️ Parallel Multi-Qubit Operations – Unlike fixed optical setups, micro-mirrors allow IonQ to simultaneously control multiple qubits using the same 1762-nm laser. This speeds up quantum computations and reduces latency.

✔️ Improved Gate Fidelity – Laser misalignment or beam drift can introduce errors in qubit operations. Micro-mirrors actively correct for these issues, keeping gate fidelity high.

✔️ Reduced Crosstalk – In large-scale ion traps, unwanted laser interactions between qubits (crosstalk) can degrade performance. Micro-mirrors finely control laser angles to minimize interference between qubits.

✔️ Scalability to Larger Qubit Arrays – Traditional beam-steering methods (e.g., acousto-optic modulators) become inefficient for thousands of qubits. Micro-mirrors offer a scalable, compact solution for directing 1762-nm beams to thousands of trapped ions efficiently.

3. The Bigger Picture: Micro-Mirror Arrays in Scalable Quantum Computing
   •   Other quantum systems (such as neutral atom quantum computers) also use micro-mirror arrays for optical control. However, in IonQ’s trapped-ion systems, these mirrors are particularly crucial for high-fidelity laser control over a growing number of qubits.
   •   Future modular ion-trap architectures will likely require even more sophisticated beam-steering solutions. Micro-mirror arrays could be integrated with photonic interconnects, enabling scalable distributed quantum processors.

Final Thoughts: Why This Matters for IonQ’s Future

IonQ’s deployment of micro-mirror arrays for 1762-nm beam steering is a key enabler of large-scale, high-fidelity trapped-ion quantum computing. It provides:
✅ More precise qubit control in large systems
✅ Scalability without excessive laser complexity
✅ Higher gate fidelity and reduced errors

This innovation bridges the gap between current mid-scale (~30-100 qubits) and future large-scale (~1000+ qubits) trapped-ion quantum processors.

Would you like details on specific micro-mirror array technologies or their integration with IonQ’s system?

Comparing IonQ’s 1762-nm Optical Beam Approach to Other Quantum Computing Architectures

IonQ’s approach using 1762-nm global optical beams in trapped-ion quantum computing stands out among competing quantum architectures. Let’s compare it to other leading approaches, including superconducting qubits (IBM, Google), neutral atom qubits (Pasqal, Atom Computing), and photonic qubits (PsiQuantum, Xanadu).

1. IonQ’s Trapped-Ion Architecture vs. Other Quantum Approaches

Feature IonQ (Trapped-Ions, 1762-nm) Superconducting (IBM, Google) Neutral Atoms (Pasqal, Atom Computing) Photonic (PsiQuantum, Xanadu)
Qubit Type Ytterbium-171 (¹7¹Yb?) ions Superconducting circuits (Josephson junctions) Ultracold neutral atoms (e.g., Rubidium, Cesium) Single photons (light-based qubits)
Qubit Connectivity All-to-all connectivity (global laser beam enables direct interactions between any qubit pair) Limited (nearest-neighbor coupling in 2D lattices) Flexible connectivity (can be reconfigured via optical tweezers) Non-local connectivity (entanglement via photonic circuits)
Gate Fidelity High (~99.9%) due to stable ion properties Lower (~99.0-99.5%) due to noise in superconducting circuits Moderate (~99%) High (Theoretical, but hard to measure)
Error Correction Easier due to long coherence times Harder due to short coherence times Moderate Hard (photons cannot be “stored” like matter-based qubits)
Scalability Moderate (ions are trapped, but lasers can control many simultaneously) Fast scaling (fabricated on silicon chips, but high control overhead) Highly scalable (thousands of atoms controlled optically) Very high (can be integrated into telecom infrastructure)
Cryogenic Cooling? No (room-temperature operation with vacuum chambers) Yes (operates near absolute zero) No (room temperature) No (room temperature)
Challenges Laser stability and alignment at scale Fabrication complexity and qubit coherence Precise atomic positioning and readout errors Photon loss in optical circuits

2. What Makes IonQ’s 1762-nm Global Beam Special?

IonQ’s 1762-nm laser approach provides significant advantages over other quantum technologies:

✔️ High-Fidelity Gates (~99.9%) – Trapped ions are identical by nature, unlike superconducting qubits which suffer from fabrication inconsistencies. The 1762-nm beam allows precise control, reducing error rates.

✔️ All-to-All Qubit Connectivity – Unlike superconducting qubits, where only nearest-neighbor interactions are possible, IonQ’s trapped-ion qubits can interact with any other qubit directly using global laser beams. This simplifies quantum circuit designs and reduces the number of error-prone swap operations.

✔️ No Cryogenic Cooling Required – Superconducting quantum computers need dilution refrigerators at millikelvin temperatures. IonQ’s trapped-ion approach, using 1762-nm beams, works in vacuum at room temperature, reducing cooling costs and infrastructure complexity.

✔️ Parallel Gate Operations – The global beam approach allows multiple qubits to be controlled simultaneously, improving scalability.

✔️ Long Coherence Times (~10-100 sec) – Trapped-ion qubits retain quantum information much longer than superconducting qubits, enabling deeper quantum circuits without excessive error correction.

3. IonQ’s 1762-nm Beam in the Context of Scalability

While IonQ’s approach has clear advantages in terms of fidelity and coherence time, the main challenge for scaling up is laser control precision as the number of qubits increases. IonQ is working on several innovations:
   •   Better Optical Beam Steering – Using advanced optics and micro-mirror arrays to improve how 1762-nm lasers interact with larger qubit arrays.
   •   Modular Trapped-Ion Systems – Developing interconnected ion trap modules that can communicate using photonic links.
   •   Hybrid Approaches – Exploring a mix of trapped-ion quantum computing with photonic integration to enable larger-scale quantum networks.

4. Key Takeaways: Is IonQ’s Approach the Best?

✅ IonQ’s 1762-nm global beam system gives it a major advantage in gate fidelity and connectivity, which are critical for near-term quantum applications.
✅ It avoids the need for cryogenic cooling, making it more practical in the long run.
✅ However, scalability is still a challenge, especially when competing with superconducting circuits that benefit from semiconductor fabrication techniques.

Final Thought: While superconducting qubits (IBM, Google) are currently leading in large-scale deployments, IonQ’s trapped-ion approach, with 1762-nm global optical beams, could become a dominant player in fault-tolerant quantum computing due to its high fidelity and long coherence times.

Would you like further details on any specific aspect?

Homework: IonQ’s use of 1762-nm optical beams is a crucial part of their trapped-ion quantum computing architecture. To better understand its impact, let’s break it down into key components:

1. Role of 1762-nm Lasers in Trapped-Ion Quantum Computing

In IonQ’s systems, qubits are stored in ytterbium-171 (¹7¹Yb?) ions, which are trapped and manipulated using a combination of electromagnetic fields and laser beams. The 1762-nm laser is specifically used for state preparation and control, particularly for:
   •   Qubit Initialization: Ensuring qubits start in a well-defined state before computation begins.
   •   State Control & Manipulation: The laser is used to drive transitions between electronic states of the ions, forming the basis of single- and multi-qubit gate operations.
   •   State Readout: After computations, the final state of the qubits is measured using another set of laser interactions.

2. Advantages of the 1762-nm Global Beam System

Instead of targeting qubits individually, IonQ uses a global beam approach with 1762-nm lasers. This means that:

✔️ Uniform Qubit Control – The laser can address multiple ions at once, simplifying hardware complexity and reducing the need for precise beam alignment.
✔️ Scalability – As quantum processors scale to thousands or millions of qubits, a global beam approach reduces hardware overhead compared to using individual lasers for each qubit.
✔️ Higher Fidelity Gates – The stability and narrow linewidth of the 1762-nm transition allow for more accurate quantum gate operations, leading to lower error rates.

3. Integration with Other Optical Systems

In addition to 1762 nm, IonQ’s system relies on other optical wavelengths for different purposes:
   •   369.5 nm – Used for Doppler cooling and qubit state detection.
   •   935 nm – Helps with repumping and maintaining ion stability.
   •   355 nm (UV Lasers) – Used for quantum gate operations via Raman transitions.

By combining these wavelengths, IonQ creates a robust quantum processing unit capable of performing high-fidelity operations.

4. Impact on IonQ’s Scaling Strategy

IonQ’s decision to deploy 1762-nm global optical beams is part of their scalability roadmap, aiming for:
   •   More efficient multi-qubit operations to increase computational power.
   •   Better error correction for fault-tolerant quantum computing.
   •   Integration with photonic networking, which could enable long-distance quantum communications.

Conclusion

By leveraging 1762-nm optical beams in a global beam configuration, IonQ is pushing towards a more scalable and efficient quantum computing system. This approach reduces complexity, improves coherence times, and enhances the fidelity of quantum operations—all of which are critical for achieving practical quantum advantage.

Would you like more technical details, such as how IonQ compares to other quantum computing architectures?

Homework: IonQ is utilizing 1762-nm optical beams in its quantum computing systems as part of its trapped-ion technology. This wavelength is particularly significant because it is used for high-fidelity qubit control and quantum state manipulation in trapped-ion quantum processors.

Why 1762-nm Optical Beams?
1. Electronic State Manipulation – In trapped-ion quantum computing, qubits are encoded in the electronic states of individual ions (such as ytterbium-171). The 1762-nm laser is used to drive transitions between specific energy levels, allowing precise control over qubit states.
2. High-Fidelity Qubit Operations – The use of this wavelength helps enable low-error, high-coherence quantum gates, which are crucial for scaling up quantum systems.
3. Global Beam Architecture – By deploying these beams across multiple qubits simultaneously, IonQ can implement parallel operations, improving computational efficiency.
4. Long-Distance Connectivity – Since optical wavelengths like 1762 nm can be integrated with fiber-optic infrastructure, this technology can potentially support distributed quantum computing in the future.

Would you like more details on IonQ’s optical system or its role in scaling up quantum computing?

https://x.com/DesFrontierTech/status/1887650974010949938
https://drive.google.com/file/d/1MuQEoBZGnBno2siyoAY2lNZ0AcN95mqh/view

1/ 🤖 The #1 problem in scaling quantum computers is reducing error rates. This patent is a direct solution to that. Quantum computing is about to experience a major acceleration.

2/ ✨ IonQ's method isolates non-consecutive qubits using Raman beams to shift neighboring ions into a metastable state.

🔹 Higher gate fidelity = more reliable quantum operations
🔹 Lower cross-talk = fewer errors in scaling
🔹 More efficient architectures = faster path to commercialization

3/ 🚀 This is how game-changing innovations look before they get priced in.

Most competitors use a dual-species approach, which adds complexity and error.

IonQ is leapfrogging that by perfecting a single-species, dual-space system—simpler, more scalable, and designed for long-term dominance.

4/ 🌐 The AI revolution caught Wall Street off guard in 2016-2017. The Internet boom did the same in the 1990s.

Right now, quantum is in that same pre-breakout phase—and IonQ is positioning itself as the clear leader.

This patent strengthens their moat.

5/ 👀 Another reason to pay attention—

🔹 No reliance on mixed-species qubits (simpler scaling)
🔹 Eliminates major error sources (a key unlock for fault-tolerance)
🔹 Enables modular quantum networks (the future of computing)

6/ 🎯 What Wall Street doesn't fully appreciate—

🔹 IonQ is already deploying global 1762-nm optical beams in their systems.
🔹 This patent extends that capability, paving the way for integrated photonics.
🔹 Integrated photonics is to quantum what GPUs were to AI.

7/ 💰 This is how quantum computing scales from lab experiments to trillion-dollar industries.

💡 Higher fidelity
💡 Lower error rates
💡 Faster commercialization
💡 Stronger patent moat
💡 Strategic advantage over every other quantum company

8/ ⚡ If you were early on AI, semiconductors, or the internet, you know the pattern of breakthrough tech cycles. This is one of those moments. IonQ is the quantum leader, and Wall Street hasn't priced it in yet.

lol. It has been a remarkable rebound since CES and Jensen Huang’s comments. The Blackrock news about obtaining 5%+ of IONQ’s float is great news.

Trying to understand all of Kona’s and Doc’s research is becoming a full time job. Quantum is hard to fathom but better minds than mine are progressing the day quantum will be a must have technology. So many companies, attacking it from so many directions is very confusing. Some day soon there will be an outcome that will hopefully become universal. My current money is on IONQ being the survivor and master of Quantum computing

Wrong way! $50 is the other direction.

no new or publication since 2015? sounds like they took it into realm of secrecy? is quantum processing unit r and d exposing it again?

knotted light , if you can twist it, maybe you can knot it and using e=mc2, matter, so thinks/says christopher nagel.

MIT Scientist Chris Nagel: "Thermodynamics, Einstein, Shrodinger, Maxwell equations can all be modified" "Matter is knotted light"

Cymatics
By Cymatics
July 26, 2015 in Physics

Cymatics
Lepton
Cymatics
Members
0
3
Posted July 26, 2015 (edited)
"Chris Nagel heads an independent lab that researches the fundamental physics of matter (especially metals) in its relation to energy (light).

…

Currently Nagel focuses on applying low levels of energy (optical and thermal “tailoring”) to select combinations of metals to alter their base properties in multiple ways. Such tailored metals have achieved distinctly unexpected levels of transparency, conductivity, hardness, magnetism, and catalytic activity, both as permanent and transient variations. "



https://techtv.mit.edu/videos/26167-chris-nagel-light-the-architect-of-matter

Edited July 26, 2015 by swansont
copyright================

some experts laughed, but the question is who's laughing now?
photonic data affecting a component of the crystalize layer of a metamaterial and in so doing creating a metamaterial with different quantum associated properties?

Yep Doc. Ionq has successfully daisy chained their rack mountable forte enterprise machines photonic ally . Next is matter. Beam me up Scotty. 😱

science article oxford univ was able to teleport tuning data to networked quantum entangled devices..........the supposition is having more qpu's on the job in network doing parallel work, the greater the pool of logical qubits from which to collaboratively decide the answer/solution? i'm paraphrasing so might be imprecise to wrong, but............light/photonics as a networking communications tool just took a major leap forward and seems to be segueing with critically with ionq ip/patents?

With the Blackrock news I can’t believe IONQ won’t be $50 by the end of Feb. if not before. We’ve been churning and basing for a while since the Huang Crash. It could happen all at once but my hunch is it will be two surges.

4. YEP! And I believe they’ll be adding more soon. I’m seeing a bidding war being set up here. It’s almost inevitable with their over 600 patents. When the next huge military contract is announced I think it will start. The big dogs will not let this little gem get too far out front. If they have any sense. I think they can now see who the winner in the” quantum space “ is going to be. This is going to be fun for all longs!

Blackrock owning over 5% is huge. Buckle up.

I think IONQ will be the next Nvda over the next 3 years. Over 1,000.00 imo. Stay tuned

Big money moving in folks. All aboard!

Blackrock filed a form 13G/A. http://archive.fast-edgar.com/20250205/A32RU22MF222K2X2222E2MO23EH3Z222C272

Filed on: February 5, 2025. $$$$$$$$🎉🎉🎉🎉💰💰💰💰🍔🍔🍔🍔

Something brewing!

BLACKROCK. BABY!!!

Trump just dropped a bomb, and so did Google. I hope Peter prescribes a huge poison pill for Sanjay. Get those preferred shares authorized quickly imo. Make them very hard to swallow.

Google just announced a complete turnaround on using AI for military defense purposes. Ionq is in there big time with AFRL !! Etc etc This is gonna blow! We’re in there everyone. Watch

Awesome! Our patent moat is ever widening. Soon we will pull away like Amz Google etc. Get in!

Yeah sure. Check out your fed and state capitol gains taxes first. A losing proposition if news comes out. You get screwed big time stay away from day trading. Or day gambling as it should be called. Gamblers most often lose.

Just watched a gentleman on Fox News state that quantum computing will be viable during Trump’s second term……not in 20 years. Caught the tail end of it and didn’t get his name but he works in a cabinet position.

https://x.com/DesFrontierTech/status/1886917173949407427
https://drive.google.com/file/d/1hu-7EbSN6JkI44Irx2oJkr4Slz6qG_lz/view

🚨🚀 BIG development for IonQ – A newly granted U.S. patent strengthens its tech moat in quantum computing. This is bullish for long-term investors.

1/ 🔬 IonQ just secured a patent covering advanced qubit control in trapped-ion systems. This isn't an incremental improvement—it's a fundamental shift in how qubits are manipulated, making scaling quantum much more feasible.

2/ The structural advantages of IonQ's platform:

🔹 Minimizes crosstalk ? Higher fidelity
🔹 Reconfigurable ion chains ? No physical shuttling needed
🔹 More scalable architecture ? Critical for large-scale quantum computing

3/ IonQ's dual-space, single-species architecture:

✅ No mixed-species complexity
✅ Efficient remote entanglement
✅ Enables mid-algorithm readout
✅ Better cooling, no EIT risk

This future-proofs IonQ's approach vs. competitors who rely on dual-species setups.

4/ 🏆 This isn't just another patent—it's core IP that secures IonQ's lead in quantum. It's about controlling error rates, boosting fidelity, and scaling with fewer constraints.

I always say: Follow the patents. They signal who's winning the long game. IonQ is securing defensive moats in hardware, software, and architecture.

5/ 📈 I see IonQ building a Tesla-like lead in quantum computing—early, misunderstood, but positioned for exponential scaling.

Maybe we’ll follow palantir!

But if you accomplish it 3x-5x the additional shares may make up for it if it moves 20% in one day. Large moves like that are usually followed by a drop in price the next day.

So there are always new entry points. It's rarely a bad move to acquire more shares.

Sell tomorrow at $44 and buy back later in the day at $41. Easy money. I was surely tempted this morning and wish I did it.

It works until it doesn’t work and one day after you sell and the stock moves 20%.

IonQ share price Double Top Breakout on 4-Feb-2025. GLTA

Good post. I agree with you. Have a plan of your own and follow your plan. Ignore insulters and meddlers. Keep learning from posts that are on topic and of good value.

It's your money. You have the responsibility how to use it. You are supposed to know your own circumstances, needs and preparation. It's a personal journey.

Cheers & GLTY

No sweat Gp. . I didn’t think you were trying to educate me. I was just under the impression that you may not have been in for that long as it was your first post. No biggie. If you feel good at getting out at 50. Fine. But from the D D I’ve done so far , I can see way , way more upside potential. Plus earnings are coming up 2/26. I see 50. running up to earnings on the 26th. If they are off the charts maybe in the 60’s A huge military contract from G D or Space Force or both 70 ‘s is possible imo. I’m here for minimum 3 more years. Careful of those short term capital gains taxes. In Hawaii I have to pay 7.5 % plus 28% fed. 😱. Good luck

Thanks for the input Kona. I was not trying to educate you about the benefits of quantum computing; I was just stating how I plan to handle this stock in the short term. My goals and needs are obviously different than yours. I really appreciate your contributions to this board.

ANALYST PRICE TARGETS

30.00 Low
44.33 Average
41.98 Current
54.00 High

https://finance.yahoo.com/quote/IONQ/analysis/

IONQ - IonQ, Inc. Stock - Share Price, Short Interest, Short Squeeze, Borrow Rates (NYSE)
IonQ, Inc.
NYSE
42.80 1.33 (3.21%)
Feb 4, 2025 at 11:41:24 AM EST
REAL TIME PRICE
Overview
Chart
Owners
Insiders
Short Interest
Financials
Dividends
Earnings
Forecast
Options
Filings
Teams
Screens
Basic Stats

Short Interest 27,234,780 shares - source: NYSE
Short Interest Ratio 1.90 Days to Cover
Short Interest % Float 13.97 % - source: NYSE (short interest), Capital IQ (float)
Off-Exchange Short Volume 4,005,985 shares - source: FINRA (inc. Dark Pool volume)
Off-Exchange Short Volume Ratio 56.97 % - source: FINRA (inc. Dark Pool volume)
Introduction

This short interest tracker provides a variety of short interest related data, sourced from a variety of partners. The data is organized by frequency of updates, with intraday data at the top (short shares availability, short borrow fee rate), daily data (short volume, fails-to-deliver) in the middle, and the slowest updated data (short interest) at the bottom. Note that short interest is published twice-monthly, on a schedule set by FINRA.

Where does Fintel get its data? We source our short interest data from a variety of providers. The Short Interest figures we provide are sourced directly from the stock exchanges (NASDAQ, NYSE, NYSE American, NYSE Arca, CBOE, and IEX) and FINRA. This is the official data and covers a broad spectrum of the market. We do not source short interest from a single broker. For Canadian, Australian, and Hong Kong markets, the short interest is published by the regulatory agencies of those countries. We get this data directly from those agencies on a daily or twice-weekly basis. The float and shares outstanding we use are sourced from Capital IQ, which is one of the top firms that provide this data.

Is short interest self-reported, and therefore unreliable? Short interest is not self-reported. FINRA and U.S. exchange rules require that brokerage firms report short interest data to FINRA on a per-security basis for all customer and proprietary firm accounts twice a month, around the middle of the month and again at the end of each month. See Short Interest — What It Is, What It Is Not. for more information.

Are dark pool trades counted in short interest figures? Yes, they are. The primary difference between a dark pool and a lit exchange is that pre-trade information such as bid/ask are not available. However, once a trade is made, dark pool trades are published on the tape and tracked like every other trade. When it is time to report, any open short positions are reported, no matter what type of trading venue those shares were acquired on.