I-Glow
3 일 전
RGTI is on the Nasdaq Capital Market - the lowest tier where you can find Mullen Automotive.
Major players like Google, IBM, and Microsoft have invested billions over decades in research and Development.
Demis Hassabis, the CEO of Google DeepMind, announced the $100 billion budget at a TED conference in Vancouver in April 2024.
Of that approximately $10 Billion is spent on Quantum Computing.
In the Last 10-Q the company stated - "With the goal of unlocking this opportunity, we have developed the world’s first multi-chip quantum processor for scalable quantum computing systems. We believe that this patented and patent pending, modular chip architecture is the building block for new generations of quantum processors that we expect to achieve a clear advantage over classical computers."
I read the patents and they don't seem to have any commercial value - also 95-97% of ALL patents fail to be licensed or commercialized.
Google's Willow is already outclassing Supercomputers -"As of November 2024, El Capitan at Lawrence Livermore National Laboratory (LLNL) is the world's fastest supercomputer.
Speed: El Capitan has a peak performance of 2.79 exaFLOPs, which is 2.79 quintillion calculations per second.
Google's quantum computer chip, Willow, is extremely fast, performing calculations in minutes that would take today's fastest supercomputers billions of years.
RGTI needs Billions in Capital to compete in the Quantum Computing sector.
There are far too many hurdles to overcome for startups to compete.
With 1,978 Quantum Computing related patents published between 2002 and 2022, International Business Machines Corp holds the most number of Quantum Computing patents in the global Technology, Media and Telecom sector.
The second largest number of Quantum Computing related patents were published by Alphabet Inc with 944 patents, of which 95.6% was contributed by its subsidiary Google LLC.
IG
jbsliverer
1 주 전
2:26 PM EST, January 10, 2025 (Benzinga Newswire)
While hailed as a tech genius, Nvidia Corp. (NASDAQ:NVDA) CEO Jensen Huang isn't exactly making friends among key players in the quantum computing field. During the semiconductor giant's analyst day, Huang warned that quantum computers' practical applications might be 15 to 30 years away.
In response, sector-related securities fell sharply.
Naturally, executives working in the arena quickly rebutted Huang, noting that the tech ecosystem already incorporates quantum-based innovations. To be sure, the retail investment community appears to agree with the bullish perspective, with several quantum computing stocks witnessing stratospheric growth over the past several weeks.
As such, investors may be tempted to buy the dip, interpreting the recent fallout as a speed bump against a long-term narrative. Still, it's good to take an objective view of the data before making a decision.
Rigetti Computing Inc
Over the last six months, Rigetti Computing Inc's (NASDAQ:RGTI) performance has been simply astonishing, gaining almost 830%. However, it received a rude awakening thanks to Huang's commentary. As of this writing, it's on pace to lose about 42% of market value relative to Monday's opening price of $18.54.
Historically, the worst weekly loss that RGTI stock suffered is 37.47%, which occurred in June 2022. What's interesting, though, is that investors generally avoid extreme dips in RGTI, defined as weekly losses of 20% or worse. Of the 11 such instances posted since April 2021, only five times (45.45%) did Rigetti rebound four weeks later.
During the six times when RGTI stock tumbled a month out, the average loss came out to 20.33%. Therefore, a statistical risk exists that for the options chain expiring Feb. 7 (four weeks from today), shares may fall to $8.56. Aggressive speculators may consider the 11.50/8.50 bear put spread in anticipation that RGTI may fall to the short put strike price of $8.50.
D-Wave Quantum
Another high-flying name among quantum computing stocks, D-Wave Quantum (NYSE:QBTS) saw its shares rise 400% in the trailing half-year period. However, it too got cold water splashed on its face. At time of writing, D-Wave Quantum stock trades at $6.52, down nearly 29% from Monday's opening price of $9.17.
Statistically, whenever D-Wave Quantum loses between 20% to 30% of value in a week, there's a 66.67% chance that a month later, the security could be in the red. Further, the average loss comes out to 34.15%.
Notably, when D-Wave Quantum suffers a 30% weekly loss or worse, the odds of downside four weeks out rises to 75%, with an average loss of 25.2%.
Realistically, then, D-Wave stock risks declining to $4.89 by Feb. 7. One aggressive idea to consider is the 7/5 bear put spread, which anticipates that D-Wave Quantum stock will fall to the key technical support line of $5.
IonQ Inc
One of the most popular quantum computing stocks, IonQ (NYSE:IONQ) managed to pop 260% since early July of last year. However, it also suffered terribly due to the high-level criticism of the sector. Currently, shares trade hands at $34.12, down 29.36% from Monday's opening price of $48.30.
Dubiously, IonQ is on pace to post a record. Since its January 2021 debut, IonQ stock's worst weekly performance was a loss of 24.88%, incurred in November 2021. What's even more problematic, there have only been three instances when shares dropped 20% or more in one week. In the subsequent four weeks, there have been no instances when IonQ posted a positive return.
That's not to say that the quantum computing specialist can't make a comeback from the current malaise. Indeed, the average loss four weeks out lands at only 7.62%, indicative of an extreme tug-of-war. Still, the numbers at the moment don't favor bullish speculation.
Therefore, aggressive traders may consider the 32/30 bear put spread expiring Feb. 7, anticipating that the pessimists will drive shares down to the psychologically significant $30 level.
Quantum Computing
Finally, no one can touch Quantum Computing (NASDAQ:QUBT) in terms of outright performance in the sector.
In the past six months, Quantum Computing gained almost 1,639%, a beneficiary of an explosive catalyst meeting an ultra-small share price. However, it's currently trading at $11.03, thus on pace for a severe decline of 36.24% relative to Monday's opening price of $17.30.
Historically, Quantum Computing stock is no stranger to extreme volatility. Since January 2020, its worst weekly loss was 40.74%, posted in February 2023. That said, in overall terms, investors tend to appreciate bouts of red ink as buying opportunities. There have been 15 instances when Quantum Computing lost 20% or more in a one-week period. Four weeks later, shares returned a positive figure nine times or 60%.
The average positive return clocks in at 48.8%, implying an upside price target of $16.41. Statistically, then, investors who want to buy the dip may consider doing so for Quantum Computing stock.
For the options chain expiring Feb. 7, aggressive traders may target the 12/16 bull call spread.
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jbsliverer
1 주 전
Still many, many years away. Makes for great trading though. FOMO max, puts galore, profits taken. Pretty much FOMO gone now, it will be hard for it come back at least in short/medium term. Attention changed to fundamentals or other stocks, needs to make profit to become solid investment. It will be only speclutive and short term action, still getting pretty good volume and volitility for a little trading, so there's that.
Record-Breaking Quantum Refrigerator May Enable Reliable Quantum Computers
https://refindustry.com/news/market-news/record-breaking-quantum-refrigerator-may-enable-reliable-quantum-computers/
Date: 10 January 2025
A new quantum refrigerator – represented by the square chip in the middle of a copper casing – relies on superconducting circuits and is powered by ambient heat. The illustration shows how the refrigerator leverages interactions between quantum bits, specifically between the target qubit and two auxiliary qubits used for cooling. It operates using energy flows driven by temperature differences between the quantum systems.
Quantum computers require extremely low temperatures to perform reliable calculations. One of the key challenges in advancing quantum computing is the difficulty of cooling components to temperatures close to absolute zero. Researchers from Chalmers University of Technology and the University of Maryland have now developed a minimal, self-governing refrigerator capable of cooling superconducting quantum bits (qubits) to record-low temperatures, paving the way for more reliable quantum computations.
Quantum Computing Challenges
Quantum computers have the potential to revolutionize fundamental technologies across various sectors, including medicine, energy, cryptography, artificial intelligence, and logistics. Unlike classical computers, where bits are either 1 or 0, quantum computers use qubits, which can exist in a superposition of both states simultaneously. This property enables quantum computers to perform parallel computations with immense processing potential. However, their operation is currently limited by the need to correct significant amounts of errors, which restricts the computing time of quantum systems.
Autonomous Quantum Cooling
According to Aamir Ali, a quantum technology researcher at Chalmers and lead author of a recent paper in Nature Physics, qubits are highly sensitive to environmental disturbances. “Weak electromagnetic waves leaking into the computer can randomly change the value of a qubit, causing errors that halt quantum calculations,” says Ali.
Quantum computers built with superconducting circuits can conduct electricity without resistance and efficiently store information. However, to function reliably over extended periods, qubits must be cooled to near absolute zero (-273.15°C). Current cryostats, which envelop quantum computers and use helium for cooling, can lower temperatures to approximately -273.1°C. Absolute zero is physically unattainable, but the new quantum refrigerator can complement existing cryostats by cooling systems several hundredths of a degree further, reaching record-low temperatures for superconducting qubits.
“The quantum refrigerator is based on superconducting circuits and powered by ambient heat, making it autonomous. It can cool qubits to approximately -273.13°C. This breakthrough paves the way for more reliable and error-free quantum computations while reducing the strain on hardware,” says Aamir Ali.
Surprising Performance
The quantum refrigerator utilizes interactions between qubits – specifically, between the qubit being cooled and two auxiliary qubits dedicated to the cooling process. It operates autonomously, relying on energy flows driven by temperature differences within the quantum systems. Once activated, the system functions without external intervention.
“Our work is undoubtedly the first demonstration of an autonomous quantum thermal machine performing a practically useful task. Initially, this experiment was intended as a proof of concept, so we were pleasantly surprised when the quantum refrigerator achieved unparalleled performance and succeeded in cooling the qubit to record-low temperatures,” says Simone Gasparinetti, Associate Professor at Chalmers and research leader for the study.
Details of the Research
The study, titled Thermally driven quantum refrigerator autonomously resets superconducting qubit, was published in Nature Physics. The compact quantum refrigerator, which fits on a small chip, was manufactured at Chalmers’ nanofabrication lab, Myfab.
The research team includes Mohammed Ali Aamir, Simone Gasparinetti, Claudia Castillo-Moreno, and Paul Jamet Suria from the Department of Microtechnology and Nanoscience at Chalmers, as well as Nicole Yunger Halpern, José Antonio Marín Guzman, and Jeffrey M. Epstein from the Joint Center for Quantum Information and Computer Science (NIST), the University of Maryland, and the Institute for Physical Science and Technology at the University of Maryland, USA.
The research was supported by the Swedish Research Council, the Knut and Alice Wallenberg Foundation through the Wallenberg Center for Quantum Technology (WACQT), the EU’s Quantum Flagship project ASPECTS, ERC ESQuAT, the National Science Foundation, and the John Templeton Foundation.
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