IonQ Inc (IONQ) Opciones

photons aimed at mirrors and capturing event from many aspects? isn't that an ionq patent?

weighting spin vectors , could use to ai the quantum compute, determine optimal photon 'knot'/mass which determines it's meta definitions/specs?
i asked gemini ai, "can neural ray tracing of nvidia be used in weighting vectors of quantum spins?


The intersection of NVIDIA's neural ray tracing and quantum spin weighting vectors is a very advanced and emerging area. While a direct, widespread application might still be in development, there are conceptual connections and potential future uses. Here's a breakdown:

Understanding the Concepts:

NVIDIA Neural Ray Tracing:
This technology uses AI, particularly neural networks, to accelerate and enhance ray tracing, a rendering technique that simulates light behavior.  
It allows for more realistic and efficient rendering of complex scenes by using AI to predict and approximate light paths.  
Quantum Spin Weighting Vectors:
In quantum computing, spin qubits (using the spin of electrons) are a type of qubit.  
"Weighting vectors" would refer to the mathematical representations of the probabilities of those spins being in certain states.
Controlling and manipulating these weighting vectors is crucial for performing quantum computations.
Potential Connections and Applications:

Quantum Simulation:
One of the most promising applications of quantum computing is the simulation of complex physical systems.  
Ray tracing, at its core, is also a simulation of light behavior.  
There's potential for NVIDIA's neural ray tracing technology to be adapted to visualize and analyze the results of quantum simulations, including those involving spin systems.
Essentially, neural ray tracing could be used to create visual representations of the probability distributions of quantum spin states.
Optimization of Quantum Control:
Controlling quantum spins is a very challenging task.
Neural networks, like those used in NVIDIA's ray tracing, are excellent at optimization problems.  
It's conceivable that neural networks could be used to optimize the control signals that manipulate quantum spin weighting vectors.
Visualization of Quantum Data:
Quantum data is often very abstract and difficult to interpret.
Neural rendering techniques could be used to create more intuitive visualizations of quantum data, potentially aiding in the development of quantum algorithms.
Key Considerations:

This is a very cutting-edge area, and practical applications are still emerging.
The computational demands of both neural ray tracing and quantum computing are very high.
There is a large amount of ongoing research within both of these fields.
In essence, while not a common application today, there are conceptual overlaps that point to potential future uses of NVIDIA's neural ray tracing in the analysis and visualization of quantum spin systems."

Thanks JJ - you were correct on the long tail down last week - just took a while to come around -- so I am pretty confident you are correct this time around also. I said "pretty confident"... lol. but sure hope you are correct. last 3-4 weeks have been a beat down.

And why such a big deal and hostile response that someone corrected you? His statement is accurate. Not a big deal, but why write a book about what he said?

Just say - hey yes it looks like it started trading yesterday, an oversight on my part, thanks for the update etc.

Those who refuse to admit any errors, especially when they are wrong, might be the "small man", as you say.

knotted photon...establishes mass and therefore what element/state is represented, wags. chris nagel, take a bow.

kona, airpods are doing realtime translation work which is tranforming object per gemini:
"Compiling in a different language12345 involves transforming source code from one language to another. Compilers can be written in the same language as the source code, which makes them easier to understand, or in a different language, which allows for more flexibility and portability."

now apple is using vcsy and 8 ip. also , vcsy 's ip for moving processing off device to more able infrastructure as needed. wags.

hopefully, one more paying customer for v/ploinks. and 8

i've cleaned up on fngu now fnga 
and made a little on bitx but i dont understand crypto so wont go near it again 


however   i cant wait for this ionq to start going back up 
the investors need to digest the daily tariff news and mass layoffs 
valuations are close to being in place 
look at nvda 
and the bankers will be accumulating soon or have already started

it was simply an observation and a question(since yahoo isn't always accurate), not trying to correct anyone. Like you, I'm also a keen investor in leveraged ETFs. As I'm a follower of IONQ, was pleasantly surprised to learn about this ETF which I'd no clue about until that moment when I asked my first question. The first 2-3 days of any ETF are more critical since they provide a direction(before too many traders get to know of it), the only reason why I specified the day.

kona , if your ai is correct on ploinks network, the market is down because they all owe v some money? like adobe/salesforce/msft/lg/hp/samsung/interwoven/ and their customers/partners. add in intel/qualcomm/and other sbv partners...

kona, which ai are you using and what prompts/query did you use to obtain a neatly formed business plan?

oh btw 
i have 7000 shares average 26
and i flipped several thousand shares today for a banked profit 

so who would complain about  what day it started
to trade 

i was hoping you'd find a good place and want to raise a pint ( as peter noone - herman would say british expression i guess )

Yep. Today is actually day 2 but I just found out about it today.

if you say so 

i've done very well with leverged ETF's
and continue 
however they need to be invested in the right  stocks. 

serioulsy why bother
correcting me ?
does it make you feel more important or are
you doing the others  here a service ?
you trade todays price 

imo those who post trival corections  are
very small 
men 

Sure blue! We’ll hook up when you’re here.😎🤙I’ll just tell you where to meet me in town on the water or maybe at Kona Brew Pub

YahooFinance shows today being Day#2. Yesterdays range was $22-27.41 with a close of $26.62 on 130,638 share volume.

today not  yesterday 
kona found it 

Long Tail Up since yesterday.

IONQ appears to be correcting within a longer-term bullish trend. Although its MACD is presently below the signal line, shares remain above an upwards sloping 200-day moving average. Comparative Relative Strength analysis shows that this issue is lagging the S&P 500.

Momentum for IONQ is strongly bearish. The 14-period Slow Stochastic oscillator is below 20, the level which many analysts call oversold. This means that investors have been actively selling shares and driving the price lower.

The last 10-days have seen significant volume in IONQ, with average daily volume above the average for the last year. Today's volume is no exception; with 24,077,850 shares having been traded already. The On Balance Volume indicator (OBV) is bearish. The slope of the indicator is negative and suggests that there is a lack of buying interest as of 1:42 PM ET Thursday, 03/13/2025

Is IONX a brand new leveraged ETF?Did it just start trading yesterday? Thanks

friends of ours love to scuba and out of nowhere they invited us to kona ( extra bedroom in rental apt ). they live
in arizona 
unfortunately due to work committments i cant 
however next time 
i'd like to buy you a beer 

hmmm
when rima swlls personal shares the stock goes up shortly after

am i crazy today or what ? 

Hopefully, you didnt add this morning before it dropped. IONQ is down nearly 5%, which would be a 10% loss for IONX.

24.10 looked good to add ionx 

if you believe in ionq then ionx will double your profot 
patience counts 

The USMCA was progress, but it did not resolve the long-standing issues, with tariffs. A trade war in his first term would have been reckless and risky if running for a second term.

Now those concerns dont apply, so these issues can be more fully addressed. The sad part is once there is any pain or consequences, the public wants to head in a different direction, failing to recognize the long term benefits of renegotiating these agreements to produce free trade, rather than fair trade.

In the long run, this will boost the US markets and NVDA with it.

The shorts are pulling out all the stops. Pure B S. What crooks. They just make chit up. Criminal imo. Hang em S E C

William “Bill” Scannell is a seasoned executive with nearly four decades of experience at Dell Technologies. As President of Global Sales & Customer Operations, he oversees an organization of approximately 24,000 sales team members, driving global growth and delivering technology solutions to organizations in 180 countries worldwide. ?

In February 2024, Scannell joined the Board of Directors at IonQ, a leading company in the quantum computing industry. His extensive sales experience is expected to play a crucial role in guiding IonQ’s system sales strategy and strengthening its position in the quantum economy. ?

Demonstrating his confidence in IonQ’s growth prospects, on March 12, 2025, Scannell purchased 93,066 shares of IonQ common stock at a weighted average price of $21.8072 per share, amounting to a total transaction value of approximately $2.03 million. This acquisition increased his direct ownership in IonQ to 135,047 shares. ?

Scannell holds a Bachelor of Science degree in business management from Northeastern University.

Insider William Scannell just bought. 93,066 at 21.80

What an idiot. News out !!!

What an idiot. News out !!!

Insider just bought and another p r out!!!! $$$. Hang on. $

Well, someone dumped a couple million shares just before the opening bell.  🤨

Doc. That should give you some more ideas. Makes u wonder if this is all ready to go as soon as court battle is over?

5. Scalability and Performance Optimization

For real-world deployment, the network must scale efficiently and maintain low latency.

Strategies
   •   Adaptive Load Balancing: Monitor node availability and reroute tasks dynamically.
   •   Edge Caching for Repeated Computations: Reduce redundant quantum queries.
   •   Local Quantum Simulators for Validation: Run lightweight quantum simulations before cloud execution.

Example: Edge-Assisted Execution
   •   A mobile device with a Ploinks mini-server performs local quantum simulation.
   •   If accurate enough, results are used without cloud execution.
   •   Otherwise, the task is forwarded to an actual quantum backend.

?

Next Steps

Would you like to explore:
1. Prototype Development (building an early test network)?
2. Optimizing a Specific Use Case (e.g., secure messaging, finance, AI)?
3. Deep Dive into a Technical Component (e.g., encryption, routing, hybrid execution)?

2. P2P Data Exchange and Routing

Since Ploinks’ mini-servers handle decentralized, secure communication, we use them for:
   •   Quantum data transmission between nodes.
   •   Workload distribution for hybrid quantum-classical tasks.
   •   Authentication and access control for secure quantum computing.

Data Flow Model
1. Quantum Task Submission ? A user submits a task (e.g., quantum circuit execution).
2. Mini-Server Routing ? The task is encrypted and routed to an available node in the network.
3. Quantum Backend Execution ? The node selects a suitable quantum processor (local or cloud-based).
4. Result Aggregation & Post-Processing ? Classical nodes perform error correction, data validation.
5. Secure Delivery to Requester ? Results are sent back via the P2P network.

?

3. Security and Encryption Protocols

To protect quantum computations in a decentralized network, we need:

Quantum-Safe Encryption
   •   Lattice-Based Cryptography (e.g., NTRUEncrypt, Kyber) to secure P2P messages.
   •   Quantum Key Distribution (QKD) for high-security nodes.

Zero-Knowledge Proofs (ZKP) for Privacy
   •   Ensure computations occur without revealing input data to participating nodes.
   •   Use ZKPs to verify quantum computations without exposing sensitive algorithms.

Example: Hybrid Encryption Model
   •   Classical data is encrypted using Ploinks’ private key system.
   •   Quantum computations use blind quantum computing (BQC) techniques, where nodes compute on encrypted quantum states without decryption.

?

4. Hybrid Quantum-Classical Workload Management

Since quantum computers are resource-limited, the P2P network should intelligently distribute tasks between classical edge devices and quantum processors.

Task Scheduling Algorithm
   •   Quantum-Suitable Tasks: Optimization, entanglement-based operations ? Sent to QPUs.
   •   Classical Pre/Post Processing: Data encoding, error correction ? Handled by local devices.
   •   AI-Based Routing: Machine learning selects optimal backend for each task.

Example: Decision Tree for Task Assignment

from quantum_p2p import QuantumTaskManager
from ionq_sdk import IonQClient
from qiskit import QuantumCircuit

# Initialize Quantum Backend
ionq = IonQClient(api_key="YOUR_IONQ_API_KEY")
task_manager = QuantumTaskManager()

# Define Quantum Circuit
qc = QuantumCircuit(2)
qc.h(0)
qc.cx(0, 1)

# Submit Task to Quantum P2P Network
task_id = task_manager.submit_task(qc, backend=ionq)
result = task_manager.get_result(task_id)
print(result)

Technical Implementation of a Ploinks-Powered Quantum Hybrid Network

To build a quantum-classical hybrid network using Ploinks’ mini-servers for secure, peer-to-peer (P2P) quantum computing, we need to address five key technical areas:
1. Integration with Quantum SDKs (e.g., Qiskit, Cirq, IonQ SDK)
2. P2P Data Exchange and Routing (via Ploinks’ mini-servers)
3. Security and Encryption Protocols
4. Hybrid Quantum-Classical Workload Management
5. Scalability and Performance Optimization

?

1. Integration with Quantum SDKs

To enable quantum computation, the network must connect with heterogeneous quantum backends.

Steps for SDK Integration
   •   Abstract Quantum Backends: Develop a high-level API that interacts with different quantum SDKs (e.g., Qiskit for IBM, IonQ SDK for trapped ion QPUs).
   •   Standardize Circuit Compilation: Implement a compiler that translates quantum programs to target-specific gate sets.
   •   Implement Error Mitigation: Integrate quantum error correction techniques before sending workloads to quantum processors.

Example (High-Level API Design)

Let’s break this down into practical use cases and implementation strategies for a Ploinks-powered quantum hybrid network.

1. Use Cases

A. Secure Multi-Party Quantum Computing (MPQC)

Concept: Multiple parties collaborate on quantum computations without revealing sensitive data.
How It Works:
   •   Ploinks’ mini-servers handle encrypted communications between parties.
   •   Quantum computations are split into subproblems, computed across different quantum backends.
   •   Only the final result is reconstructed at the intended recipient’s node.
Example:
   •   Finance: Secure portfolio optimization using quantum algorithms.
   •   Healthcare: Secure drug discovery with quantum simulations across research institutions.

?

B. Quantum-Assisted AI on Edge Devices

Concept: Quantum computing enhances AI inference and training on mobile and edge devices.
How It Works:
   •   Edge devices preprocess AI data locally.
   •   Quantum nodes perform key computations (e.g., optimization, kernel evaluations).
   •   Classical devices handle post-processing and inference.
Example:
   •   Mobile AI Assistants: Faster natural language processing via hybrid quantum models.
   •   Cybersecurity: Quantum-enhanced anomaly detection on mobile networks.

?

C. Decentralized Quantum Cryptography & Secure Messaging

Concept: A quantum-secured communication network using Ploinks’ P2P model.
How It Works:
   •   Nodes generate and exchange quantum-resistant encryption keys.
   •   Data is split, encrypted, and distributed across P2P mini-servers.
   •   Reassembly occurs only when authentication conditions are met.
Example:
   •   Military & Government Communications: Tamper-proof quantum-encrypted messages.
   •   Blockchain & Smart Contracts: Quantum-proof decentralized finance (DeFi) transactions.

?

D. Hybrid Quantum Cloud & Edge Computing

Concept: Distribute workloads dynamically between cloud quantum processors and edge devices for efficiency.
How It Works:
   •   Lightweight quantum-classical tasks run locally on Ploinks-powered nodes.
   •   Heavier quantum computations are offloaded to cloud-based quantum computers.
Example:
   •   Autonomous Vehicles: Quantum-enhanced route optimization with edge inference.
   •   IoT Networks: Smart devices using quantum algorithms for energy-efficient computing.

?

2. Implementation Strategy

Phase 1: Prototype Development
   •   Build a P2P Layer: Adapt Ploinks’ mini-server tech for quantum data routing.
   •   Integrate with Existing Quantum SDKs: Test on IBM Qiskit, IonQ SDK, or Rigetti’s pyQuil.
   •   Develop Secure Data Exchange Protocols: Use hybrid encryption for quantum computations.

Phase 2: Pilot Use Cases
   •   Select a Proof-of-Concept (PoC): Secure messaging, AI, or finance.
   •   Test on a Small Network: Deploy across a few mobile devices and a quantum cloud backend.
   •   Optimize for Performance & Security: Reduce latency, improve reliability.

Phase 3: Full-Scale Deployment
   •   Expand Node Network: Enable cross-device computing for scalability.
   •   Implement Governance & Access Control: Define permissions for P2P quantum computation.
   •   Optimize for Commercial Applications: Target industries like finance, cybersecurity, and AI.

?

Would you like to focus on a specific use case first, or dive deeper into technical implementation details?

You’re envisioning a Ploinks-powered quantum hybrid network, which would integrate heterogeneous quantum computing with peer-to-peer (P2P) deployment using Ploinks’ patented mini-servers on mobile devices. Here’s how it could work:

1. Core Concept
   •   A decentralized quantum-classical hybrid network that enables distributed computing, leveraging mobile devices as nodes in a secure, permissioned P2P environment.
   •   Uses Ploinks’ mini-servers for privacy-preserving data exchanges and secure computation offloading.
   •   Interfaces with multiple quantum backends (e.g., IonQ, IBM, Rigetti) via a software-defined quantum computing (SDQC) framework.

2. Architecture
   •   Quantum Layer: Connects to cloud-based or local quantum processors (superconducting, trapped ions, photonic, etc.).
   •   Classical Layer: Uses mobile and edge devices for pre-processing, post-processing, and hybrid algorithm execution.
   •   P2P Network Layer: Ploinks’ mini-servers enable secure node-to-node communication, distributing workloads without reliance on centralized cloud services.

3. Potential Benefits
   •   Decentralization: Reduces reliance on major quantum cloud providers.
   •   Enhanced Security: Ploinks’ privacy-first architecture could secure quantum data exchanges.
   •   Scalability: Mobile and edge devices contribute computational resources dynamically.
   •   Lower Latency: By processing some workloads locally, reduces bottlenecks associated with centralized cloud quantum computing.

4. Applications
   •   Secure Multi-Party Quantum Computing: Privacy-preserving collaborative quantum workloads.
   •   Quantum-Assisted AI on Edge Devices: Hybrid AI models leveraging quantum optimization and simulation.
   •   Decentralized Quantum Cryptography: Real-world implementation of quantum-secured messaging or blockchain applications.

Would you want to explore specific use cases or implementation strategies further?

Careful.

The Defiance Daily Target 2X Long IONQ ETF (ticker: IONX) is a leveraged exchange-traded fund aiming to deliver twice (200%) the daily performance of IonQ, Inc. (NYSE: IONQ), a leading company in quantum computing. ? Launched on March 11, 2025, IONX offers investors amplified exposure to IonQ’s stock movements without the need for margin accounts. ?

As of March 12, 2025, IONX has net assets totaling $1.33 million, with shares closing at $26.62. The fund’s holdings include 238,850 shares of IonQ, Inc., valued at approximately $5.21 million, and 5,400 shares of IONQ stock, valued at around $117,828. ?

Investors should note that leveraged ETFs like IONX are designed for short-term trading strategies and may not be suitable for long-term investments due to the effects of compounding and market volatility. It’s essential to actively monitor and manage such investments to align with individual financial goals and risk tolerance.

That’ll work.

i'm in !!!
thanks !!!

kona, 500 million ionq shares for 13% of p usa? quantum hybrid network?

Blue. It started March 12

i'm already up and every share of ionx adds to ionq 

awesome find !
i'm getting in asap

kona, potential sbv/v chip for intel jv with nvda, tsmc, amd, avgo in usa market? ploinks usa?

Green Day, more to come.  💪💪👍

when does it start to trade ?

holy $hit 

MIAMI, March 12, 2025 (GLOBE NEWSWIRE) -- Defiance ETFs introduces IONX, the Defiance Daily Target 2X Long IONQ ETF, a 2X leveraged single-stock ETF designed to provide amplified exposure to IonQ, Inc. (NYSE: IONQ). This ETF offers traders a way to seek enhanced returns on IonQ without requiring a margin account.

IONX seeks daily investment results that correspond to twice (200%) the daily percentage change of IonQ, a leader in quantum computing, advancing the industry with cutting-edge innovations and strategic partnerships.

“IONX offers a compelling opportunity for investors seeking amplified exposure to IONQ, a leader in quantum computing,” said Sylvia Jablonski, CEO of Defiance ETFs. “With ongoing technological developments, strategic industry partnerships, and a growing presence in the sector, IONQ continues to play a key role in the evolution of quantum innovation.”