geeee

geek. strong opinions loosely held. and it’s all there is… just opinions…

[geeee @gastaod]

@shiraeis

[Alan Baratz @Alan_Baratz]

D-Wave’s dual-rail qubit technology offers a more practical path to error correction. With built-in erasure detection, these qubits can identify ~90% of errors as they occur, with an observed erasure rate of just 0.5%. Our gate-model technology also delivers >99.9% fidelities while reducing the physical qubits needed for logical qubits by up to an order of magnitude. Combined with scalable cryogenic control and commercial-grade infrastructure, we see dual-rail as a genuine inflection point — and a clear D-Wave advantage. #QuantumComputing $QBTS

[geeee @gastaod]

It’s a short flight, not a big deal. As someone who’s been Diamond/Million miler flyer for many years what’s disappointing to see is how the airline doesn’t care anymore for people that fly a lot. It’s a shame.

I was previously also a top tier status holder on United and American… sigh… and it makes me wonder if I shouldn’t go back to @United.

But then again… what could happen she you make the CFO the guy in charge?

[Alan Baratz @Alan_Baratz]

Quantum computing is entering a defining moment, where execution, commercial traction and a clear path to scale will separate the leaders from the rest. On June 1, we’ll host D-Wave’s first-ever Investor Day at the @NYSE and online to share how our differentiated strategy, technology leadership, expanding market adoption and long-term growth roadmap position us to lead this next era of computing. Join us as we share the D-Wave difference. $QBTS #quantumcomputing
https://t.co/u4TPjyYcHB

[Alan Baratz @Alan_Baratz]

.@Google and @Amazon’s huge new commitments to @AnthropicAI are another reminder that AI is becoming a race for compute, power, and capital as much as a race for models. Google is committing up to $40B, and Amazon up to $25B, as Anthropic scales Claude and expands capacity. Meeting that demand will require more infrastructure as well as new ways of thinking about compute. We believe that quantum computing can become part of the answer. $QBTS #QuantumComputing #AI

[Alan Baratz @Alan_Baratz]

The path to scalable quantum computing will not be won by simply adding more qubits. It will be won by building better ones. Much of the gate-model industry has pursued scale first and planned to address the error challenge later. We believe that is the wrong approach. D-Wave’s dual-rail qubits give us an important advantage by enabling a correct-first architecture designed to detect errors earlier at the hardware level. That creates a stronger foundation for scale. In our view, the real differentiator is not scale at any cost. It is correct first, then scale. $QBTS #quantumcomputing

[geeee @gastaod]

@coinbase Or they can power the actual chain and proof of work making the blockchain inherently quantum proof and also energy efficient https://t.co/G4jMF9vg73

[D-Wave @dwavequantum]

Supply chains are more complex than ever. Traditional optimization tools are struggling to keep up.

On May 6, D-Wave's Sean McNunn, Sr. Director of Quantum Optimization Solutions, is hosting a webinar built specifically for supply chain and logistics teams who want to understand where quantum optimization fits in today, not someday.

Register here:  https://t.co/kV3mZI98ku

[Alan Baratz @Alan_Baratz]

Much of the industry is focused on how AI can accelerate quantum computing. At D-Wave, we’re focused on the other side of the equation: how annealing quantum computing can strengthen AI/ML workflows through better optimization and sampling, faster performance, lower energy use, and better outcomes. AI progress cannot depend forever on simply adding more GPUs, more power and more cost to the problem. The future of AI will be shaped by architectures that go beyond traditional GPU-heavy scaling. #QuantumComputing #AI $QBTS
https://t.co/Rr5OUmNI0T

[Alan Baratz @Alan_Baratz]

China’s latest Five-Year Plan puts quantum at the center of its “industries of the future” strategy, with a goal of broad quantum computer availability by 2030 and an estimated $16B in state backing. That is exactly why NQI reauthorization matters. The Senate Commerce Committee just advanced a bipartisan bill that expands support for near-term applications, testbeds, manufacturing, and quantum cybersecurity migration. The U.S. cannot afford to slow down now. #QuantumComputing $QBTS

[D-Wave @dwavequantum]

We applaud the #Senate Commerce, Science, and Transportation Committee for advancing legislation to reauthorize the National Quantum Initiative (NQI) and expanding cross-government quantum programs to include near-term application development and both annealing and gate-model quantum computing. As the only dual-platform company building both annealing and gate-model quantum systems, D-Wave has a unique understanding of the capabilities of each type of system and the kinds of problems they are best suited to address. Advancing NQI is a critical step toward the U.S. government using #quantum computing to solve public sector challenges today. We urge swift passage of this legislation. $QBTS

[Alan Baratz @Alan_Baratz]

Great to see the Wellcome Leap Q4Bio program highlighting real momentum in quantum computing for health. One standout for me: University of Oxford’s bioinformatics work using D-Wave technology. Their team applied D-Wave’s hybrid quantum approach to pangenome-guided sequence assembly and phylogenetics—showing how quantum can contribute to important genomics workflows today. Work like this shows why D-Wave’s hybrid quantum approach matters: it is bringing quantum into real-world workflows today. #QuantumComputing #QuantumAI #Bioinformatics #Genomics $QBTS

[Alan Baratz @Alan_Baratz]

In conversations with senior leaders, I hear the same message: complexity is rising faster than the systems built to manage it. Supply chains are more dynamic. Labor and resource decisions are volatile. Energy and operational constraints are ever shifting. And too many teams are settling for “good enough” because classical approaches cannot keep up with the scale and speed that business now demands. The time to start with quantum is now. Not as an experiment in search of a problem, but as a practical effort focused on the right use cases, measurable outcomes, and a disciplined path from discovery to production. The imperative is clear: adopt now or risk falling behind those who do. Check out our new Ebook to learn more. #QuantumComputing #DigitalTransformation $QBTS
https://t.co/c9EuVX9wPz

[D-Wave @dwavequantum]

We just dropped the first episode of Quantum Matters, our first podcast!

D-Wave's @Quantum_Murray kicked things off with Martin Hofmann, Former @VW Group CIO and Technology Executive.

Martin breaks down why routing millions of vehicles in real time is a problem classical computers struggle to solve, and what happened when Volkswagen put quantum to the test.

Look for a new episode every other week wherever you get your podcasts.

🎧 Listen now on all major platforms: https://t.co/gHYmoQp59M

[geeee @gastaod]

Outlook is still the most bloated and worst piece of MSFT software ever. Tries to do too many things, none of them well. There is simply no highly productive way to use it because the UX always requires you to use the mouse/trackpad. Calendar still has no clue of how to merge multiple calendars and work through sharing events across them…

[Alan Baratz @Alan_Baratz]

.@quipnetwork today announced a new quantum-classical blockchain testnet that expects to show how quantum can create value alongside classical computing right now. Using D-Wave’s Advantage2 annealing quantum computers, the platform is exploring how quantum optimization could help enable more secure and energy-efficient blockchain infrastructure. Researchers and developers can now access the testnet and help shape emerging standards in this space. With more than 13,000 signups already, interest in the intersection of quantum and blockchain is clearly growing. #QuantumComputing #Blockchain $QBTS
https://t.co/0mLRtyafmC

[Alan Baratz @Alan_Baratz]

At D-Wave, we believe that the most powerful breakthroughs will come when classical computing, quantum computing, and AI work together. As @McKinsey notes, quantum does not have to replace classical to create value. It can serve as an accelerator, with classical resources handling part of the problem and quantum applied where it can add the most value. In areas like molecular simulation and large-scale optimization, the combination of quantum, classical and AI can help drive advances in materials, energy, and industrial efficiency. #QuantumComputing #AI $QBTS
https://t.co/fFKXAPmp2z

[geeee @gastaod]

@jennyrozelle The “Your Feelings, young Skywalker”…

[Alan Baratz @Alan_Baratz]

Honored to be included in the @FastCompany Impact Council’s “24 technology trends to watch this year.” I believe that 2026 is the year quantum optimization will deliver real decision advantage. Enterprises and government agencies are increasingly using annealing quantum computing to improve mission-critical decisions across manufacturing, supply chain and logistics, workforce scheduling, aerospace, life sciences, AI, and more. The conversation is shifting from “Can quantum work?” to “How fast can we implement it?” #QuantumComputing #Optimization $QBTS
https://t.co/rLHcTj1tlh

[geeee @gastaod]

@NicoleDenil We should talk about how we can add quantum-powered optimization to take it even further!