GBA Presents: House of Gummy-!

[stonedinvestor]

IONQ is actualy very lightly covered... that will surely change here. In fact I had to go all the way back to April to find a house that says anything:

IonQ initiated with an Equal Weight at Morgan Stanley 04/26 IONQ Morgan Stanley initiated coverage of IonQ with an Equal Weight rating and $7 price target. The analyst says quantum "offers too much long-term opportunity to ignore" and that IonQ is an early leader in the industry. However, technology risk is high as quantum advantage remains unproven, the analyst tells investors in a research note. The firm sees an opportunity to become more constructive in the shares as the technology develops.

When a stock goes way past a target usually the house will wait for weakness (that came Fri) and then upgrade to catch up.

Last I looked IONQ was $9 something with what looked like a double top.

If i was an analyst in the space next week is when i would initiate coverage.

 

[stonedinvestor]

When I analyze QBTS and IONQ charts there is cause for concern in both but also a trend.
The accumulation appears to be coming into D-WAVE.

 

[stonedinvestor]

IonQ
IonQ went public via a merger with the special purpose acquisition company (SPAC) dMY Technology Group III. IonQ is a start-up stage quantum computing company, and it's the first pure-play quantum computer company to become publicly traded.

IonQ develops quantum computing hardware, and is the first to have its computing systems available via all the major public cloud services. It plans to build a network of quantum computers accessible via the cloud, and is targeting rapid growth in 2023 as researchers begin using its hardware at greater scale.

IonQ's orientation toward cloud computing is illustrated by its partnerships with Microsoft, Amazon's (AMZN 1.21%) Web Services (AWS), and Google Cloud. The Japanese telecommunications company and tech investor Softbank Group (SFTBF 3.5%) also has invested in IonQ and is partnering with the company to bring quantum computing power to the many other tech companies in its portfolio.

IonQ generates little in the way of revenue right now and is not yet profitable. It will likely continue to spend heavily to continue developing its product and business for at least a few more years. Investing in this start-up is a speculative play. It could be the most profitable way to invest in quantum computing if IonQ is successful, but investors should act with prudence given this is still a startup business.

 

[stonedinvestor]

A recent report from Precedence Research pegged the global quantum computing market at more than $10 billion for 2022 and predicted that it would surpass $125 billion by 2030, expanding at a compound annual growth rate, or CAGR, of 37%.

 

[stonedinvestor]

When you think about AI so much is BS. So what- you can program a computer to write you a song. Big Fing deal. To do someone else's job great no more coders..... Where is the soul?

But when you think about Quantum computing so much more if it makes sense and in a way this is the reigns that are going to be put around AI to control it.-

Wide Range of Application Fields
Quantum computing is a method that can use multidimensional computing spaces to find patterns in billions of data points to solve extremely complex problems. It takes up far less space than a supercomputer, yet it can address issues that standard supercomputers cannot handle. Quantum algorithms take a novel approach to solving these complex problems by creating multidimensional spaces in which patterns emerge that link individual data points. This mode is likely to be the combination of folds that requires the least energy for a protein folding problem. This folding combination is the solution to the problem. Classical computers cannot create these computational spaces, so they cannot find these patterns. And for the protein problem, early quantum algorithms can find folding patterns in a new and more efficient way without the painstaking checking routines of classical computers. As quantum hardware scales up and these algorithms improve, they could solve protein folding problems that are too complex for any supercomputer.


Quantum computers are also well-suited for solving optimization problems, as they can quickly process large numbers of potential solutions. For example, Airbus is applying it to help figure out the most fuel-efficient ascent and descent routes for planes, while Volkswagen has unveiled a service that calculates the best routes for city buses and taxis to minimize congestion. Some researchers also believe that quantum computers could be used to speed up the development of artificial intelligence.

For example, renewable energy systems must continue to improve to become more efficient and cheaper before they can fully replace fossil fuels. Researchers rely on quantum computing to simulate complex compounds and reactions as they search for new materials to improve battery technology.

Deep space exploration requires continuous refinement of materials to find materials suitable for increasingly harsh operating environments. Without quantum computing, it would take months of the hustle and bustle in the lab to complete the testing cycle, moving at a snail's pace.

Even mundane industries that manufacture everyday products could benefit from the power of quantum computing. From logistics routing to factory assembly planning to schedule optimization, these industries can greatly improve efficiency by implementing quantum algorithms. This, in turn, saves a lot of money and creates economies of scale.

Simulating the behavior of matter in its molecular state is one of the most exciting potential uses of quantum computers. Automakers like Volkswagen and Daimler are using quantum computers to simulate the chemical composition of electric vehicle batteries, hoping it can help find new ways to improve their performance. And pharmaceutical companies use them to analyze and compare compounds that could lead to new drugs. In fact, innovation relies on technology's ability to keep up with increasing demands.

 

[stonedinvestor]

Just like when we kicked off the AI frenzy in January we have a IRA option here******

Damn IBM is knee deep in Quantum just as it is in AI. Big Blue doesn't get any of the hype but the old school company is in the right places.

Barons just gave IBM a pump this weekend- And this is a safer way of participating int he future of tech.

IONQ Inc (NYSE: IONQ)
Founded in 2015, IonQ is headquartered in College Park, Maryland, USA. The research team was hatched from the University of Maryland and Duke University. Co-founder and CTO Jusang Kim (Jin Zhengshang) <- he sounds smart! is a professor of electrical and computer engineering and physics at Duke University, specializing in quantum computing. IonQ is currently developing full-stack quantum computing products based on the ion trap technology route, including software and hardware.

GUMMYBEAR ADVISORS PRESENTS: QUANTUM COMPUTING WEEK!

 

[stonedinvestor]

1> D-Wave Quantum Inc. (QBTS)
NYSE - NYSE
1.5300+0.0200 (+1.32%)

 

[stonedinvestor]

2>IonQ, Inc. (IONQ)
NYSE - NYSE
9.22-1.50 (-13.99%)
At close: June 2 04:00PM EDT

We had a 2X vol sell off Friday in this name.

$8.88 <----- That would be the place to take a position.

 

[stonedinvestor]

Well there you have it folks another weekend reader in the bag-

I'm trying to get some " WEEK OF QUANTUM " T-shirts made so stay tuned for that.

If nothing else it's a good band name-!

 

[vanzandt]

Just like when we kicked off the AI frenzy in January we have a IRA option here******

]

Lol. You never cease to amaze me at how you can be 18 months or more late on something.

AI for example... hell Cramer was going on and on about the NVDA play as it applies to AI for the last two years. And you mocked him when it sold off.
And the WSJ had something about AI daily for the last 2 years at least, many above the fold.
Goldman did at least two papers on it... that I read... last summer.
Your January call was once again, Yahoo Finance articles sneakily osmosing themselves into your brain.

I remember ISRG... do you know that it did a reverse split about 3 or 4 years after it ipo'd because it was doing so bad? It bounced, but even after that it lost over half it's value at least twice post 2007ish.

Look where it's at today. 1000 shares would have cost about $9000 when it ipo'd in 2000. Those same 1000 shares split adjusted today,,,, about $1.4M.

So Stoney ushers in the age of quantum computing.

I can hardly wait to see the picks, complete with YOUR OWN thesis... not a cut and paste by a pumper.

I mean it is what it is... outside of a few bio's.... so far in the other categories you've ushered in... not one ISRG yet. Everything you pick always seems to be the hyped stocks... and they go down the tubes.

You have to find the stocks with staying power. Know why I never gave up on ISRG post 2010... the balance sheet, what they were doing, and their model.... sell the razors, but make bank off the blades.

But with that said... as always, if one looks interesting, I'll take a look.

Hey here's an interesting cut and paste from another post here...

Universa’s founder, veteran trader Mark Spitznagel, sees another catastrophe looming. At a conference in late May, he said decades of low interest rates and other factors were leading to what he called a “mega-tinderbox timebomb” in the financial system, repeating a warning he’d written about in January. “We should expect some kind of inferno,” he said. That doesn’t mean he thinks stocks are poised for a crash now; indeed in the short term he believes the market could be in for a strong rally.

Kind of exactly like I told you last week Stoney ... as 4300 is on the doorstep... but I strongly suspect, as I have told you 100 times now... 2023 closes below 2022.

Black swans aside... Q4 is gonna be horrible for all the companies that historically make their bank in Oct, Nov, Dec. ... so I suspect that will be front run. We'll peak by week 3 August at the latest.