D Wave Quantum Inc (QBTS) Options

QBTS...$7.55...Off my $7.16 Alert...🥳

georgie18

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Wednesday, April 23, 2025 10:56:11 AM

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QBTS...$7.16...🥳...Bullish Psar Flip...News...PALO ALTO, Calif. & HUNTSVILLE, Ala.--(BUSINESS WIRE)--D-Wave Quantum Inc. (NYSE: QBTS) (“D-Wave”), a leader in quantum computing systems, software, and services, and Davidson Technologies, Inc. (“Davidson”), a mission-driven technology company supporting U.S. Department of Defense and aerospace customers, today announced that the physical assembly of a D-Wave Advantage2 annealing quantum system is complete at Davidson’s headquarters in Huntsville, Alabama. With the assembly phase now finished, installation nears completion as the system undergoes final calibration and readiness testing.

Progress with the system assembly and installation represents a major milestone in the partnership between D-Wave and Davidson and positions Alabama as a key contributor to quantum infrastructure in the U.S. The Advantage2 system will be the first annealing quantum computer hosted on-premises in the state, offering new pathways for the development of quantum optimization applications designed to support mission-critical challenges in areas including national defense. The system will eventually be housed in a secure facility developed to run sensitive applications using quantum computing technology.

The milestone will be commemorated during a private VIP ribbon-cutting event on April 23 at Davidson’s headquarters, where dignitaries at the state and federal levels are joining executives from both companies for an exclusive unveiling.

QBTS...$7.16...🥳...Bullish Psar Flip...News...PALO ALTO, Calif. & HUNTSVILLE, Ala.--(BUSINESS WIRE)--D-Wave Quantum Inc. (NYSE: QBTS) (“D-Wave”), a leader in quantum computing systems, software, and services, and Davidson Technologies, Inc. (“Davidson”), a mission-driven technology company supporting U.S. Department of Defense and aerospace customers, today announced that the physical assembly of a D-Wave Advantage2 annealing quantum system is complete at Davidson’s headquarters in Huntsville, Alabama. With the assembly phase now finished, installation nears completion as the system undergoes final calibration and readiness testing.

Progress with the system assembly and installation represents a major milestone in the partnership between D-Wave and Davidson and positions Alabama as a key contributor to quantum infrastructure in the U.S. The Advantage2 system will be the first annealing quantum computer hosted on-premises in the state, offering new pathways for the development of quantum optimization applications designed to support mission-critical challenges in areas including national defense. The system will eventually be housed in a secure facility developed to run sensitive applications using quantum computing technology.

The milestone will be commemorated during a private VIP ribbon-cutting event on April 23 at Davidson’s headquarters, where dignitaries at the state and federal levels are joining executives from both companies for an exclusive unveiling.

D-Wave completes installation at Davidson Technologies in Huntsville, AL.
https://www.sec.gov/Archives/edgar/data/1907982/000190798225000075/d-waveanddavidsontechnolog.htm

D-Wave Qubits 2025 - Axel Daian, senior technical advisor at D-Wave.

D-Wave’s annual quantum computing conference highlighted how quantum solutions are addressing real-world challenges in logistics, manufacturing, financial services, life sciences, and more. The conference featured groundbreaking work in quantum-fueled AI, optimization, and materials science, along with insights into the latest quantum hardware and software from D-Wave’s development team. Attendees had the chance to participate in hands-on technical sessions designed to accelerate the adoption of quantum computing in your organization.

D-Wave Qubits 2025 - Trevor Lanting, chief development officer at D-Wave, unveiled the strategic roadmap for D-Wave's product development and technological advancements spanning annealing quantum computing, gate-model processor development, analog-digital quantum computing and much more. He detailed the company’s ongoing evolution of quantum systems and how D-Wave is positioning itself to address the future demands of quantum computing in both hardware and software.

D-Wave’s annual quantum computing conference highlighted how quantum solutions are addressing real-world challenges in logistics, manufacturing, financial services, life sciences, and more. The conference featured groundbreaking work in quantum-fueled AI, optimization, and materials science, along with insights into the latest quantum hardware and software from D-Wave’s development team. Attendees had the chance to participate in hands-on technical sessions designed to accelerate the adoption of quantum computing in your organization.

D-Wave Qubits 2025 - Pau Farre, senior manager, benchmarking programs at D-Wave.

D-Wave’s annual quantum computing conference highlighted how quantum solutions are addressing real-world challenges in logistics, manufacturing, financial services, life sciences, and more. The conference featured groundbreaking work in quantum-fueled AI, optimization, and materials science, along with insights into the latest quantum hardware and software from D-Wave’s development team. Attendees had the chance to participate in hands-on technical sessions designed to accelerate the adoption of quantum computing in your organization.

D-Wave Qubits 2025 - Cathy McGeoch, principal scientist (retired), D-Wave.

Cathy McGeoch, former principal scientist at D-Wave, delivered an insightful session on the critical examination of quantum benchmarking papers. The discussion provided attendees with the tools to properly evaluate quantum performance metrics, ensuring they are not misled by incomplete or misleading claims in the rapidly evolving field of quantum computing.

D-Wave’s annual quantum computing conference highlighted how quantum solutions are addressing real-world challenges in logistics, manufacturing, financial services, life sciences, and more. The conference featured groundbreaking work in quantum-fueled AI, optimization, and materials science, along with insights into the latest quantum hardware and software from D-Wave’s development team. Attendees had the chance to participate in hands-on technical sessions designed to accelerate the adoption of quantum computing in your organization.

D-Wave Qubits 2025 - Catherine Potts, staff technical advisor at D-Wave, provided a detailed presentation on using the nonlinear solver to address capacitated multi-vehicle routing problems. The session demonstrated how quantum algorithms can optimize fleet management and logistics, improving efficiency in operations that involve complex scheduling and resource allocation.

D-Wave’s annual quantum computing conference highlighted how quantum solutions are addressing real-world challenges in logistics, manufacturing, financial services, life sciences, and more. The conference featured groundbreaking work in quantum-fueled AI, optimization, and materials science, along with insights into the latest quantum hardware and software from D-Wave’s development team. Attendees had the chance to participate in hands-on technical sessions designed to accelerate the adoption of quantum computing in your organization.

D-Wave Qubits 2025 - Emile Hoskinson, director of product management at D-Wave

D-Wave’s annual quantum computing conference highlighted how quantum solutions are addressing real-world challenges in logistics, manufacturing, financial services, life sciences, and more. The conference featured groundbreaking work in quantum-fueled AI, optimization, and materials science, along with insights into the latest quantum hardware and software from D-Wave’s development team. Attendees had the chance to participate in hands-on technical sessions designed to accelerate the adoption of quantum computing in your organization.

D-Wave Qubits 2025 - Andrew King, senior distinguished scientist at D-Wave, discussed new frontiers in quantum simulation. The session covered the cutting-edge techniques used to simulate complex quantum systems, which could have wide-ranging applications in material science, chemistry, and quantum physics.

D-Wave’s annual quantum computing conference highlighted how quantum solutions are addressing real-world challenges in logistics, manufacturing, financial services, life sciences, and more. The conference featured groundbreaking work in quantum-fueled AI, optimization, and materials science, along with insights into the latest quantum hardware and software from D-Wave’s development team. Attendees had the chance to participate in hands-on technical sessions designed to accelerate the adoption of quantum computing in your organization.

D-Wave Qubits 2025 - Steve Hart, director, product management at D-Wave.
D-Wave’s annual quantum computing conference highlighted how quantum solutions are addressing real-world challenges in logistics, manufacturing, financial services, life sciences, and more. The conference featured groundbreaking work in quantum-fueled AI, optimization, and materials science, along with insights into the latest quantum hardware and software from D-Wave’s development team. Attendees had the chance to participate in hands-on technical sessions designed to accelerate the adoption of quantum computing in your organization.

D-Wave Qubits 2025 - Alex Condello, D-Wave
D-Wave’s annual quantum computing conference highlighted how quantum solutions are addressing real-world challenges in logistics, manufacturing, financial services, life sciences, and more. The conference featured groundbreaking work in quantum-fueled AI, optimization, and materials science, along with insights into the latest quantum hardware and software from D-Wave’s development team. Attendees had the chance to participate in hands-on technical sessions designed to accelerate the adoption of quantum computing in your organization.

D-Wave Qubits 2025 - D-Wave Professional Services
At Qubits 2025, Gavin Kennedy, director, professional services at D-Wave joined Peguy Pierre-Louis, Mayowa Ayodele, and Logan Lim from D-Wave's Professional Services team to outline the pathways for organizations to get started exploring and building practical quantum applications today. This session highlighted D-Wave’s extensive expertise in guiding customers through the seamless process of quantum computing adoption, helping them to unlock quantum’s benefits now.

D-Wave Qubits 2025 - Heather West, IDC
At Qubits 2025, Heather West, research manager at IDC, provided an in-depth market analysis of the quantum computing landscape. The session examined the progress of quantum technologies and their increasing commercialization, offering valuable insights into the impact on various industries, including finance, healthcare, and manufacturing.

Who is this "we" you speak of?
There is support at $6.08 and resistance at $9.06....Not sure I'd be buying in the $8s

We are way back in! $$$$$$!$$$$$$! Patience an relax an watch your portfolio grow 

We are back in

Well I am open for suggestions 

looking for a 10x in the quantum materials space at a 150 million market cap that can run and do a 1000% plus like QBTS did at some point last year any suggestions? something that makes chips smaller faster and run better for phone & cu chips and 6G anyone still holding this gem when it was a 150 million market cap lets find the next one.

$QBTS

https://www.alphaevents.com/events-quantumtechus?elqTrackId=200E6F426ABA51ADF17071B977247FBA&elqTrack=true&_bhlid=b41be4ec4e7211537a30e8c8eda238147c2ee937

Qubits 2025 - Opening Keynote

To buy more at the bottom of course ! I missed the latest sell opportunity around $12.

After it loses another $7.46. Shouldn't be long now.

This stock was at 90 cents 6 months ago!!! What do you want? Support currently around $4.75

Someone write me and let me know when we hit the bottom !!!

Good luck with that short.

They are shorting this to $4 again.

: New research initiative to push forward emerging quantum technologies.

Nividia - 

https://www.msn.com/en-us/money/markets/d-wave-stock-is-falling-why-nvidia-s-quantum-computing-event-hurt-the-shares/ar-AA1Bn4Lq?ocid=hpmsn&cvid=2a90c52b455f4cc8d30bbc1510a659d0&ei=45

couldnt have been very positive

They Posted a Positive 8-K Today

This is a nice read along with a huge sell of shares at 12.25 per share https://www.msn.com/en-us/money/companies/quantum-computing-inc-qubt-one-of-the-best-quantum-computing-stocks-to-buy-right-now/ar-AA1B6kUJ?ocid=hpmsn&cvid=7e31e2f3d8fc4825f29a4d00139c4c51&ei=12

From this article, I gather there are quite a few short shares being held: https://in.benzinga.com/insights/short-sellers/25/03/44363385/peering-into-d-wave-quantums-recent-short-interest.
Does anyone have an opinion as to whether we might see a short squeeze if the share price continues to rise quickly?

https://www.msn.com/en-us/money/topstocks/we-asked-retail-traders-their-top-quantum-stock-d-wave-leads-the-pack-followed-by-rigetti/ar-AA1B3tnG?ocid=hpmsn&cvid=e37a959150664d90f48333908a1fc083&ei=59

D-Wave Deep Dive: A Look at The Quantum Advantage Findings — And The Questions That Remain
Matt Swayne
March 13, 2025

D-Wave researchers reported that superconducting quantum annealers have demonstrated superior accuracy and efficiency over leading classical methods in solving specific quantum dynamics problems, suggesting practical quantum advantage beyond random circuit sampling.
The study compared quantum annealers against classical techniques such as matrix product states (MPS), projected entangled-pair states (PEPS), and neural quantum states (NQS), finding that classical methods struggle with scalability but remain competitive in certain problem instances.
Critics argue that properly configured classical simulations can reproduce or even surpass quantum annealer performance in some cases, with competing research from EPFL and the Flatiron Institute showing that time-dependent variational Monte Carlo (t-VMC) and belief propagation offer alternative paths to solving these problems efficiently.

D-Wave researchers reported that superconducting quantum annealers have demonstrated the ability to solve certain problems with greater accuracy and efficiency than leading classical methods, according to their study published in Science. The findings provide evidence that quantum processors can outperform classical computers in practical applications beyond tasks like boson sampling and random circuit sampling, tasks that have been used in past claims of quantum advantage.

However, some scientists aren’t sure the results are an unambiguous display of quantum supremacy, citing research that suggests properly configured classical approaches can compete with quantum in similar tasks.

Breaking It Down
In D-Wave’s paper, researchers showed that quantum annealers can rapidly generate samples that closely match solutions derived from the Schrödinger equation. This equation is the fundamental equation of quantum mechanics, describing how the quantum state of a system evolves over time.

The study examined the performance of superconducting quantum annealing processors when simulating quantum dynamics in spin glass models, a class of problems relevant to materials science, condensed matter physics and artificial intelligence. These systems are known for their complex energy landscapes, making them difficult for classical computers to simulate efficiently.

The results suggest that quantum annealers provide a computational advantage over tensor network and neural network-based classical simulation techniques in certain tasks. Unlike previous demonstrations of quantum supremacy, which focused on tasks like generating random numbers in ways that are difficult for classical systems to replicate, this study targets a problem with practical significance. The team’s findings offer evidence that quantum annealers can model real-world quantum systems more effectively than classical approximation techniques.

“The ability of superconducting QA processors to solve this simulation problem with high accuracy has been established for 1D chains and small spin glasses,” the authors write. “Here we simulate large programmable topologies of varying dimension.”

By demonstrating that quantum annealers can solve these complex problems with greater efficiency than classical alternatives, the study could strengthen the case for their utility in scientific and industrial applications. This includes fields such as drug discovery, materials science and machine learning, where quantum systems play a fundamental role.

Methodology
The researchers studied how quantum annealers performed when solving the transverse-field Ising model (TFIM), a widely used model in quantum computing and statistical mechanics. The simulations involved quenching — rapidly changing — an external field and observing how a quantum system evolves over time. The study tested two superconducting quantum processors: the Advantage system (ADV1) and a prototype of the next-generation Advantage2 system (ADV2).

To evaluate the accuracy of the quantum annealers, researchers compared their results with those produced by matrix product state (MPS) simulations run on the Summit and Frontier supercomputers at Oak Ridge National Laboratory. MPS techniques represent one of the best classical methods for approximating quantum dynamics but become increasingly expensive in terms of time and memory as system size increases.

The team writes: “On the largest problems, MPS would take millions of years on the Frontier supercomputer per input to match QPU quality. Memory requirements would exceed its storage, and electricity requirements would exceed annual global consumption. We emphasize that this scaling analysis applies to MPS — the only method with which we can match QPU quality for all considered quench times — and is not an intrinsic lower bound for all classical methods.”

The study also examined alternative classical approaches using projected entangled-pair states (PEPS) and neural quantum state (NQS) simulations, but these methods failed to match the accuracy of quantum annealers within feasible computational limits.

The quantum annealers generated at least 1,000 samples per second, allowing researchers to compare their output with classical methods over a range of different system sizes. The study also analyzed entanglement entropy, a key measure of quantum correlations, showing that the quantum processors exhibited an area-law scaling that classical methods struggled to replicate.

By analyzing spin-spin correlations and other statistical measures, the researchers confirmed that the quantum annealers provided results consistent with quantum mechanical predictions, even in regimes where classical methods struggled.

Limitations and Questions
Like other supremacy claims, D-Wave’s study is attracting scrutiny.

Science News points out that a preliminary draft of D-Wave’s study was posted on arXiv.org a year ago, allowing other researchers to examine the findings. Joseph Tindall, a quantum computer scientist at the Flatiron Institute in New York City, and colleagues developed a competing classical approach using belief propagation, an algorithm widely used in artificial intelligence, according to Science News. Their method, which repurposes a 40-year-old technique, produced more accurate results than the quantum annealer in certain cases involving two- and three-dimensional systems. Their findings, submitted to arXiv.org on March 7 but not yet peer-reviewed, challenge some of the conclusions of the quantum study.

“For the … spin glass problem at hand, our classical approach demonstrably outperforms other reported methods,” Tindall and his colleagues write, Science News reports. “In [two cases] we are also able to reach errors noticeably lower than the quantum annealing approach employed by the D-Wave Advantage2 system.”

However, the classical simulations focused on only a subset of the problems tested in the study, and there is ongoing debate over whether their method can match the quantum annealer across all scenarios. The researchers disagree on whether the classical technique can fully reproduce the quantum computer’s results, particularly for more complex three-dimensional systems.

While classical methods require fundamentally different approaches for infinite-dimensional systems, the study suggests that quantum annealers can efficiently generate samples in this context, an area where classical techniques remain underexplored., Science News article points out.

Monte Carlo Techniques
In another test of D-Wave’s claims, researchers at EPFL’s Institute of Physics and Center for Quantum Science and Engineering have pushed the boundaries of quantum advantage by demonstrating that large-scale classical simulations can match or even challenge the performance of quantum annealers. The study posted on the pre-print server arXiv, led by Linda Mauron and Giuseppe Carleo, employs time-dependent variational Monte Carlo (t-VMC) techniques to simulate the quantum annealing of spin glass models.

The findings question the assumption that quantum processors have an insurmountable edge in annealing-based simulations. Using a Jastrow-Feenberg wave function, the researchers efficiently modeled systems up to 128 spins on a three-dimensional diamond lattice, a scale previously deemed beyond classical feasibility. Their method achieves correlation errors below 7%, aligning with or surpassing the accuracy of D-Wave’s quantum annealers while requiring only polynomial computational resources — in contrast to tensor network methods, which scale exponentially, the researchers suggest.

It would seem, further, that the results would weaken the argument that infinite-dimensional systems inherently favor quantum annealers.

Other Limitations
The study acknowledges other limitations that point toward future work. The quantum annealers tested were not error-free and required careful calibration. Additionally, verifying quantum advantage in a meaningful way requires comparisons to the best available classical methods, which in turn demands significant computational resources.

For small-scale problems, classical methods can still reproduce quantum results with sufficient accuracy. However, as system sizes grow, classical simulations become exponentially more expensive. The study estimates that achieving the same accuracy as the quantum annealers on large problems using MPS methods would take millions of years on the Frontier supercomputer, at least for the specific problem instances studied. The memory requirements would exceed its entire storage capacity, and the energy consumption would surpass global annual electricity use.

The findings seem to show a fundamental difference between quantum and classical approaches. While classical methods rely on approximations and truncation techniques to manage computational complexity, quantum processors naturally encode and evolve the full quantum state. This allows quantum annealers to maintain accuracy even as system size and complexity increase.

However, quantum annealing is not a universal quantum computing technique. Unlike gate-based quantum computers, which can theoretically perform arbitrary computations, quantum annealers are specialized for optimization and sampling tasks. Their advantage is most pronounced in problems that involve simulating many-body quantum interactions, where classical methods scale poorly.

Future Directions
The study’s results suggest that quantum annealers could be applied to real-world scientific problems that are currently intractable for classical computers. Potential applications include optimizing complex networks, modeling new materials, and improving artificial intelligence algorithms.

Beyond direct applications, the findings could also influence the development of new classical algorithms. The authors note that their work could inspire classical simulation techniques that better approximate quantum behavior, advancing the broader field of computational physics. Improvements in hybrid quantum-classical algorithms may enable more efficient solutions for practical applications in the near term.

Future research will likely focus on extending these findings to larger and more diverse problem sets, improving quantum hardware stability, and refining methods for error correction. The researchers also emphasize the need for additional benchmarking studies to further validate quantum advantage across different types of problems.

The impracticability of classical simulation opens the door to quantum advantage in optimization and AI, addressing scientific questions that may otherwise remain unanswered, the study concludes.

As quantum hardware continues to improve, demonstrations like this may move quantum computing beyond theoretical promise and into practical utility for solving real-world problems. The next step will be scaling quantum annealers to larger qubit counts and refining control techniques to maximize their computational power. If successful, these advances could mark a turning point in the race to harness quantum computing for practical applications.

Broader View
One of the hot-button terms in the quantum industry is the idea of a “quantum horse race.” Many protest the term — usually leveled at the variety of competing modalities — as an unfair and inaccurate analogy.

But, the truth may be that the industry doesn’t really have a horse race. It has an entire Triple Crown horse race season. Quantum companies must show advantage in their own modalities. They even are entered in a race to prove not just quantum advantage, not just quantum supremacy, but, now, quantum advantage in real-world tasks.

Finally, a not-often mentioned long shot is in the race: classical computing innovation. Quantum companies must contend with the ever-advancing classical techniques to prove quantum advantage.

What this all means is that — and excuse yet another sports analogy — the finish line in the quantum horse race is constantly moving.

Institutions
The research involved multiple institutions spanning Canada, the United States and Switzerland. The majority of contributors are affiliated with D-Wave Quantum Inc. Additional institutional affiliations include the Department of Physics at Boston University in the United States, as well as the Computational Sciences and Engineering Division at Oak Ridge National Laboratory in Tennessee. In Canada, researchers are associated with the Department of Physics and Astronomy at the University of Waterloo, the Perimeter Institute for Theoretical Physics, and the Vector Institute in Toronto. Further international contributions come from the Institute for Theoretical Physics at ETH Zürich in Switzerland. The Department of Physics and Astronomy and Quantum Matter Institute at the University of British Columbia also played a role, along with Simon Fraser University’s Department of Physics in Burnaby, British Columbia.

https://thequantuminsider.com/2025/03/13/d-wave-deep-dive-a-look-at-the-quantum-advantage-findings-and-the-questions-that-remain/?utm_source=resonance-newsletters.beehiiv.com&utm_medium=newsletter&utm_campaign=the-quantum-insider-weekly-d-wave-makes-waves-nist-s-back-up-algorithm-and-more-news&_bhlid=af32a4c05dbe1c9ffd6dbe500ba8ca7a24ce18a3

Look at this graph!
https://sherwood.news/markets/d-wave-quantum-leads-massive-rally-in-quantum-computing-stocks-as-its/

I have NVDA and QBTS, so I'm OK with that.

Wait until next week when Nvidia has its Quantum day, it will be fun!

What a HUGE DAY. Volume 259M, up 45%.

I’m holding my 6’s.

Got in 5's an 6's an boom! $$$$$ we may add more if a dip occurs again, could be stock of the year

D-Wave Stock Surges. Wall Street Says the Future Is Now for Quantum Computing.
By Mackenzie Tatananni
Updated March 14, 2025, 2:46 pm EDT / Original March 14, 2025, 12:29 pm EDT
https://www.barrons.com/articles/d-wave-rigetti-qbts-stock-price-quantum-computing-02b28153

If you put the two together you probably will get skynet

Just heard a great quote on Fox Bidness……..

Taylor Riggs just quoted a fund manager who basically said, if AI is in its infancy then quantum is still an embryo.

Interesting way to put it.

We'll see and I think that's fair........

I'm didn't trade it today, but I am long at $5.91 with a multi-year timeframe.

All I was saying is if the "imaginary" ST cup forms, that might be where I buy more.

No hurries, no worries.

Or I might buy more AFTER the big fall if it is an "imaginary "cup" I see.

And if it is, that means another big fall in price soon

This is such a short term trend that who the heck know?
I think calling this a "cup" is more wishful thinking than anything. And if it is, that means another big fall in price soon

My girl here is bringing home the rent…….

This pimp is happy.

It was pointed out there’s a short term cup being formed, so she could hit $10 today. The healthy thing would be to let the handle form next week. If it does, that might make for a good add and/or entry.

We might just be seeing a bear market rally, but this is my best girl at the moment.

I give you permission not to respond to this post. Ya' know, this isn't a private chat. Me posting my opinion of the stock doesn't mean I'm talking to you.

D-Wave Reports Fourth Quarter and Year-End 2024 Results
FY 2024 Bookings up 128% Year over Year
Q4 Bookings up 502% Year over Year
Current Cash Position Exceeds $300 Million
https://www.sec.gov/ix?doc=/Archives/edgar/data/0001907982/000190798225000058/qbts-20250313.htm

never thought you were talking about my waistline. I thought you were talking about your inflated head. now go talk to someone that actually cares about your babblings