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$QBTS | D-Wave CEO responds to Jensen Huang’s quantum comments on CNBC $QMCO $ARQQ $QUBT $RGTI $IONQ $NVDA

44,148 Aufrufe • vor 1 Jahr •via X (Twitter)

11 Kommentare

Profilbild von Cryptarded
Cryptardedvor 1 Jahr

There is some truth. PQC companies and crypto projects have a more immediate use case. $ARQQ and $QANX respectively.

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Quant Datavor 2 Jahren

🚨 $QQQ is up over 2% again 🚨 Yesterday evening, we tweeted about the $11.9M+ in bullish golden sweeps on $QQQ for 8/08 (today) and 8/09 expiries. $QQQ is up over $8 today. Want to see trades like this? Try our 7 day free trial at:

Profilbild von matko cupa
matko cupavor 1 Jahr

Brilliant..! Thanks To Jensen advertise quantum. Lets go D-wave !!!✨

Profilbild von JM Rothberg
JM Rothbergvor 1 Jahr

The difference between gate-based quantum computing and quantum annealing lies in their approach to computation, the types of problems they solve, and their current and potential future capabilities. Here’s a detailed breakdown: Gate-Based Quantum Computing It Works: •Analogous to classical computing with logic gates, gate-based quantum computing uses quantum gates to manipulate qubits. •These gates create quantum circuits that perform specific computations through operations like superposition, entanglement, and interference. •Universal quantum computers can theoretically solve any problem (given enough qubits and time) by programming specific algorithms. 2.Problems It Solves: •General-purpose computing: Algorithms like Shor’s (for factoring large numbers, crucial in cryptography), Grover’s (for search problems), and quantum simulations for chemistry, material science, and more. •Quantum Advantage: Expected to outperform classical computers on specific problems when sufficiently advanced, but practical systems are still in development. 3.Challenges: •Requires error correction to manage noise and decoherence, demanding thousands of physical qubits to create a single logical qubit. •Still in its infancy; hardware is highly experimental. Quantum Annealing It Works: •A specialized form of quantum computing optimized for optimization problems. •The system starts in a quantum superposition of states, and the Hamiltonian (energy function) gradually evolves toward the desired solution. •Explores low-energy states of a problem to find optimal or near-optimal solutions. 2.Problems It Solves: •Optimization: Traveling Salesman Problem, scheduling, logistics, machine learning optimization. •Constraint satisfaction: Problems like traffic flow optimization, portfolio management, etc. •It cannot run general-purpose quantum algorithms like Shor’s or Grover’s. 3.Advantages and Limitations: •D-Wave’s systems are commercially available and practical for specific problems today. •Lacks the universality of gate-based systems and is often outperformed by specialized classical algorithms for many tasks. Why Did Jensen Hong Say Quantum Computing Is 15 Years Away? 1.Context: •The statement likely refers to gate-based quantum computing achieving practical quantum advantage for broad, impactful applications. This is distinct from annealing-based quantum computing, which is already being used for specific tasks. 2.Challenges in Gate-Based Systems: •Error Correction: Developing fault-tolerant qubits is a massive technical hurdle. •Scaling: Building enough high-quality qubits to solve meaningful problems remains elusive. •Usefulness: Most gate-based quantum systems today are small and can only demonstrate proof-of-concept algorithms (e.g., quantum supremacy experiments). 3.Quantum Annealing’s Role: •D-Wave and other annealing systems are solving real-world problems but are limited to niche areas like optimization. •They don’t require error correction in the same way as gate-based systems but also lack the versatility to revolutionize computing broadly. 4.Perception Gap: •The commercial applications of quantum annealing don’t represent the broader vision of quantum computing, which includes breaking RSA encryption or revolutionizing AI, biology, and material science. Jensen Hong’s 15-year estimate reflects the view that truly transformative quantum computing (i.e., gate-based systems with fault tolerance) remains a long-term goal, whereas D-Wave represents a near-term, limited, but valuable application of quantum technology.

Profilbild von Olivia
Oliviavor 1 Jahr

Are you really confident that $IONQ and $LAES will bounce back, and do you think Nvidia's GPU dominance is truly threatened by quantum computing?

Profilbild von Hardik Shah
Hardik Shahvor 1 Jahr

I am not sure about bounce back but I feel CEO like Jensen should be optimistic about technologies. commenting like this shows he is insecure about his business.

Profilbild von HBCU Token
HBCU Tokenvor 1 Jahr

why did she keep cutting him off and try to correct him about his own business?

Profilbild von KH
KHvor 1 Jahr

yes … flat out said, said Jensen is NOT the authority on quantum computing and that Jensen is "dead wrong". $QBTS is commercial TODAY, $QBTS has enterprise customers today (ie Mastercard) that are using $QBTS quantum computers to benefit their business operations .. again TODAY!

Profilbild von Jon
Jonvor 1 Jahr

D-Wave guy looks like a car salesman 🤣

Profilbild von mark
markvor 1 Jahr

@DekmarTrades

Profilbild von Russ McConnell
Russ McConnellvor 1 Jahr

Look at this guys facial hair. Can he be trusted ?

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