JJ8
1 일 전
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
1 일 전
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 일 전
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 일 전
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 일 전
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
harr449
2 일 전
COLLEGE PARK, Md., February 10, 2025--(BUSINESS WIRE)--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.
https://finance.yahoo.com/news/ionq-general-dynamics-information-technology-210500822.html
Iceman
2 일 전
Here is the P.R.-
IonQ and General Dynamics Information Technology (GDIT) Partner to Develop Quantum Solutions for Customers in the U.S.
By: IonQ via Business Wire
February 10, 2025 at 16:05 PM EST
Strategic collaboration unlocks new opportunities for IonQ while empowering GDIT to help its customers solve some of the world’s most complex problems
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
doc2016
3 일 전
how to use quantum/ai supercomputer........manage a tokamak reactor to make plasma from mining substrates and then use electrolysis to separate the desired metals sequentially, including gold, silver, al, iron for steel, copper, etc? if the alcoa elysis process/electrode ip is used, it's patented and uses no carbon and produces o2 instead of co2. the reason this would work where previous trials failed is electromagnetic plasma confinement developed for fusion reactor work, wags.
ever see gold rush and parker's trail? if this could be done within a money making margins and better, no more taxes need to be collected. it'd be like the citizens of the state of alaska enjoy? and then some. but you could live in az/nv/fld/ca/txs/or wherever you desired.
liberal media's are all complaining about the potential inflation usa will experience, but no one is mentioning the potential gain from developing the ip which can be used to make purer aluminum/iron/steel/etc. metamaterils and quantum effects and advancement from the integration of classical and quantum physics.
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