JJ8
5 hours ago
Trend Analysis
IONQ appears to be consolidating within a longer-term uptrend. The Average Directional Index, or ADX, is below 20, indicating that shares have traded sideways recently. However, the 200-day is still sloping bullishly upwards. 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 falling, as investors sell shares and drive 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 8,688,878 shares having been traded already. The On Balance Volume indicator (OBV) is bullish. The slope of the indicator is positive and suggests that buyers are presently more active than sellers. As of 12:20 PM ET Thursday, 02/13/2025
Konaploinks
9 hours ago
Homework: IonQ has recently introduced its Quantum OS and Hybrid Services Suite, designed to enhance the performance and accessibility of quantum computing for enterprise applications. ?
IonQ Quantum OS
The IonQ Quantum OS is a comprehensive overhaul of the company’s original operating system, featuring a flexible and modular architecture. This design aims to reduce classical overhead by over 50% and cloud and network overhead by 85%, significantly accelerating time-to-solution for quantum workloads. ?
Hybrid Services Suite
Complementing the Quantum OS, IonQ’s Hybrid Services Suite offers tools to facilitate the development and deployment of hybrid quantum-classical applications. Key features include:
   •   Workload Management & Solver Service: Simplifies the transition of hybrid workloads to the cloud, streamlining the integration of quantum computing into existing workflows. ?
   •   Prebuilt Solvers: Provides ready-to-use solutions for common computational problems, enhancing efficiency in application development. ?
These innovations underscore IonQ’s commitment to advancing hybrid quantum computing, making it more accessible and practical for enterprise use.
doc2016
9 hours ago
kona, your private cloud ip in vmware vcf. 9.......i pinch myself and it's still there.
soon to be released by broadcom/vmware.
your private cloud? goodness, ploinks. and vmware has patent based on 266, was it?
test out your new cloud ip before going public?
ionq qpu and supercomputer for ai.....using the ionq patent for software defined quantum processor /computer?
jack t, etc. nothing lives in isolation. this would allow a best of breed solution/integration/collaboration.
we can ask ai for the best query to answer /pose a question of interest, then how to transform this request into a quantum simulation of such using twisted photons and such to tune the quantum qubits, and if using mag fields, or temperature to select the optimal course of actions and how many qpu's needed to obtain the desired logical qubit population and then test the result before embarking on other steps which could be more difficult to retrace?
use it for making metamaterials, new synthetic dna/plasmid monoclonal antibodies and such.
dod is partnered with inovio on monoclonal antibodies with astra zeneca!!! trump's next call is to make the taxpayer give aways to r and d companies/pharma as investments. why not? darpa is a very early investor in tech early/early on. do like mit or harvard and researchers findings which monetize...they all take a cut...but they never pay back even the initial investment, let alone interest or equity.
Konaploinks
9 hours ago
Homework: IonQ is a leading company in the quantum computing industry, specializing in trapped-ion technology. They have been actively advancing hybrid quantum computing through various initiatives:
Integration with NVIDIA CUDA-Q Platform
IonQ has successfully demonstrated an end-to-end application workflow that combines their quantum hardware with NVIDIA’s CUDA-Q platform. This integration enables the calculation of molecular electronic structure properties, with potential applications in pharmaceutical research. The workflow utilizes IonQ’s Forte quantum computer, their suite of hybrid services, CUDA-Q, and NVIDIA A100 Tensor Core GPUs, allowing deployment in both cloud and on-premises environments. ?
Patent Portfolio Expansion
IonQ has strengthened its position in the quantum computing field by securing five new U.S. patents. These patents cover critical areas such as quantum circuit optimization, error mitigation, and improved gate operations, which are essential for enhancing performance and scalability in quantum computing. ?
Advancements in Photonic Integration
Since 2021, IonQ has been collaborating with imec to prototype and refine photonic and ion trap technologies. This partnership aims to increase the performance and scalability of quantum computers by integrating photonic components, which are crucial for efficient quantum information processing. ?
These efforts underscore IonQ’s commitment to advancing hybrid quantum computing by integrating various technologies and expanding their intellectual property portfolio.
Konaploinks
9 hours ago
Homework: Heterogeneous quantum computing is an emerging approach that combines different types of quantum hardware (e.g., superconducting qubits, trapped ions, photonics, etc.) or integrates classical and quantum systems to optimize performance for specific tasks. Here are some key advances in this field:
1. Hybrid Quantum Architectures
   •   Superconducting + Trapped Ions: Researchers are exploring ways to link superconducting qubits (fast gate operations) with trapped ions (high coherence times) to leverage the best of both worlds.
   •   Quantum Photonics Integration: Optical interconnects are being developed to enable communication between different quantum processors, allowing modular and scalable quantum computing.
2. Quantum-Classical Co-Processing
   •   Edge Computing Integration: Companies like IBM and Google are working on better quantum-classical workflows, where classical processors handle error correction and optimization, while quantum processors focus on problem-solving.
   •   AI-Enhanced Quantum Control: Machine learning techniques are being applied to improve quantum error correction and gate fidelity in heterogeneous quantum systems.
3. Cross-Platform Quantum Software
   •   Interoperable Quantum Programming: Platforms like Qiskit, Cirq, and hybrid frameworks (e.g., PennyLane, Xanadu) are advancing interoperability between different quantum hardware.
   •   Cloud-Based Heterogeneous Computing: Providers such as AWS Braket, Microsoft Azure Quantum, and Google Cloud allow users to run algorithms on different quantum backends within a single workflow.
4. Advancements in Quantum Networking
   •   Entanglement-Based Networking: Experiments on entangling different types of qubits across distances show promise for distributed heterogeneous quantum computing.
   •   Quantum Repeaters & Transducers: Converting quantum states between different modalities (e.g., microwave-to-optical) is crucial for linking diverse quantum systems.
5. Scalability & Fault Tolerance
   •   Heterogeneous Error Correction: Research is ongoing to develop error-correction schemes that work across different types of qubits, such as combining surface codes with bosonic encodings.
   •   Modular Quantum Systems: Companies like IonQ and Rigetti are exploring modular approaches to scaling quantum computers by integrating multiple hardware types.
Would you like details on specific implementations or companies working in this space?
JJ8
2 days ago
I don't know if your response was related on the topic we were briefly talking about.
Hopefully my short term related mostly technical posts have not left you with a different impression.
Never been a day trader. Neither a stock flipper.
What you described sounds good and well.
What matters most if it is serving you.
That is one good approach especially if it is working for you.
If that is working for you, then that is the right way for you.
Bottom line results are what matter. How is one's Portfolio performing over the years.
Making money in the stock market depends on far too many factors, besides what you stated in your post.
There are personal qualities, knowledge, experience. Choices to make that of one's style of trading, then the changing market. The daily, weekly and monthly trends. Bull & Bear cycles, short term waves or storms to consider. The challenge is exciting but complex to navigate to most participants. Have fun.
Cheers & GLTY
4retire
2 days ago
If you look at day to day, week to week, or even month to month…….you’ll always be playing catch up. That’s why I don’t flip stocks, or day trade. If you examine the financials, research their available market, investigate their management team, look at where you think a stock will be in a year, and are comfortable with the risk you’re exposed to, then buy and hold for the time frame you set. Obviously a curve ball is thrown at times but day to day gyrations won’t bother you all that much. Works for me.
doc2016
2 days ago
kona, softbank and google, yes, the same willow google is investing in qu-era, neutral atom/fault tolerant quantum computing. is it madness or...:
"gemini ai pro:You're absolutely right. A hybrid quantum computing approach, using different types of QPUs in the same environment, has the potential to significantly enhance qubit informational state and function. It's a very promising direction in quantum computing research. Here's a breakdown of why:
Advantages of a Hybrid Approach:
Leveraging Strengths: Different QPU technologies have different strengths. Some might excel at maintaining coherence (how long qubits retain their quantum properties), while others might be better at performing specific types of quantum operations or have a higher connectivity between qubits. A hybrid approach allows you to use the best tool for the job. For example:
Trapped Ions: Excellent coherence, but can be slower for some operations.
Superconducting Qubits: Faster gate speeds, but more susceptible to decoherence.
Photonic Qubits: Good for long-distance communication and some specialized algorithms.
Mitigating Weaknesses: Each QPU technology also has weaknesses. By combining them, you can potentially compensate for these limitations. For instance, if one type of qubit has low connectivity, you might use another type with higher connectivity to facilitate communication within the quantum circuit.
Fault Tolerance: A hybrid approach could be crucial for achieving fault-tolerant quantum computing. Different qubit types might have different error characteristics. By combining them, it might be possible to develop more robust error correction strategies.
Expanding Algorithm Capabilities: Some quantum algorithms are better suited to certain types of qubits. A hybrid system could allow researchers to explore a wider range of algorithms and potentially develop new ones that are tailored to the specific strengths of the combined QPUs.
Modular Design: A hybrid approach lends itself to a modular design. You can add or upgrade different QPUs as the technology advances, creating a more flexible and scalable quantum computing system.
Challenges of a Hybrid Approach:
Interfacing Different Technologies: One of the biggest challenges is developing efficient interfaces between different QPU types. You need to be able to transfer quantum information reliably between them, which can be technically complex.
Control and Orchestration: Managing and controlling a hybrid system with multiple QPU technologies is a significant engineering challenge. You need sophisticated control systems to coordinate the operations of the different QPUs.
Error Correction: Developing error correction strategies for a hybrid system can be more complex than for a single-technology system.
Cost and Complexity: Building and maintaining a hybrid quantum computing system is likely to be more expensive and complex than building a single-technology system.
Examples of Hybrid Approaches:
Combining Trapped Ions and Superconducting Qubits: This combination could leverage the high coherence of trapped ions with the fast gate speeds of superconducting qubits.
Integrating Photonic Qubits for Communication: Photonic qubits could be used to connect different quantum processors, enabling the creation of larger, distributed quantum computers.
In summary:
The hybrid quantum computing approach is a promising path toward building more powerful and versatile quantum computers. While there are significant challenges to overcome, the potential benefits in terms of enhanced qubit performance and expanded algorithm capabilities make it a very active area of research. It's likely that future quantum computers will incorporate elements of multiple QPU technologies to achieve their full potential."
doc2016
2 days ago
kona, in response to your question, more information.
new google hybrid analog-digital quantum simulation ip announced with indications now expressed that the digital quantum uses a 'parallelism' in the simulation work which is how and why it is faster than classical computing. perhaps, pal singh of 8 and princeton uni can be asked about how collaborative communications is done at those speeds? the networking, dynamic routing, and authentication would need very fast compute and recognition and actions. quantum gates and photonic manipulation might be used? if so, bring in ionq and photonic gates and qubit tuning related to twisted light.
then add that this new hybrid analog-digital quantum computer ip can be used to discover new superconducting materials for use in the ionq charged ion qpu...and likely produce more quality logical qubits?
then bring in the co-operative partners like the state of maryland, univ of maryland, johns hopkins, various usa dept of's energy, commerce, homeland security, hhs, interior, etc. doge duty is likely to organize the government into a well planned and executed corporation whose duty is the health, welfare, sustainability, defense and security, logistics and supply, etc of the republic of the usa first and then the rest of the world with as much ethical consideration as allows justice for all it's citizen's.
stargate needed somebody to put a value on openai? 100 billion now with the musk bid is for starters and can increase as others enter the fray. this am apple is in deal with alibaba for ai for china, but the chips are verbotten. alibaba is partner of softbank cloud which is partner of 8 for sovereign data ip; softbank is major partner of openai in stargate project. 8 is partner of china mobile. the clients using 8 work onto china mobile a portion of the over the top network of 8 to alibaba cloud and them to softbank cloud, softbank to the supercomputer in japan and other asian locations and maybe even to the usa supercomputers of stargate?
the hybrid quantum computer improves the quantum work and also creates new metamaterials, drugs, communications capabilities, including data teleportation which makes all of these collaborative things possible.
potentially, all people will be paid well enough that more resorts of the type envisioned by trumps day dreams for gaza might conger up?
but first things first, got to get the hard work and expensive stuff done to establish the new knowledge worker machines.
also, in this vein, i think pundits should review their ideas about the alu/steel tariffs. also, remember about apple in their partnership with alcoa/riotinto/canada on the elysis processes and output which is the raw material for the metamaterials. also, that the inovio/upenn synthetic dna are both examples of things to be done with this work.
Konaploinks
2 days ago
COLLEGE PARK, Md.--(BUSINESS WIRE)--Feb. 10, 2025--IonQ (NYSE: IONQ), a leader in the quantum computing and networking industry, and General Dynamics Information Technology (GDIT), a business unit of General Dynamics, announced a partnership to bring the power of quantum computing to government and defense sectors.
IonQ and GDIT are partnering to combine GDIT’s deep technical and government agency mission expertise with IonQ’s pioneering quantum technology. Together, the companies will co-develop and market advanced quantum processing and networking applications to address high-impact use cases, including quantum AI extensions, resource optimization, and anomaly detection. This collaboration aims to deliver transformative capabilities for federal, and state governments, meeting critical challenges with cutting-edge solutions.
“Quantum computing represents a transformative opportunity for our government clients to solve previously impossible challenges,” said Ben Gianni, senior vice president and chief technology office at GDIT. “This expanded partnership will enable us to harness the next generation of computational power to deliver innovative solutions that address critical mission needs.”
“By partnering with GDIT, we will accelerate quantum computing adoption in the government, continuing IonQ’s consistent market growth,” said Rima Alameddine, IonQ’s Chief Revenue Officer. “This collaboration marks a significant step in delivering quantum solutions that address critical challenges faced by government agencies. It allows us to leverage our combined capabilities to introduce quantum computing to government and defense sectors, supporting high-priority projects. We are excited to work closely with and learn from the experts at GDIT.”
Earlier this year, IonQ and GDIT partnered with a major intelligence agency to advance its quantum readiness. The two companies leveraged quantum and AI technologies to enhance the agency’s data analysis and mission capabilities.
Today’s news builds on IonQ’s ongoing work in the federal sector, advancing its efforts to integrate quantum networks into future operations. Most recently, IonQ announced a new $54.5 million contract with existing customer U.S. Air Force Research Lab (AFRL), which marked the largest 2024 quantum contract award in the U.S. IonQ also won a $5.7 million contract for a first-of-its-kind, multi-node, blind quantum computing system initiative for the Applied Research Laboratory for Intelligence and Security (ARLIS).
To learn more about IonQ and its latest system news and business developments, visit https://ionq.com.
To learn more about GDIT and its latest announcements, visit www.gdit.com.
*Gartner Forecasts Worldwide Government IT Spending to Grow 8% in 2023
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