QuanTessla

RT @HalcyonDays78: At the Bell hotel in #Epping. A school girl was sexually assaulted here by an illegal immigrant last week. Unbelievably…

RT @TiceRichard: Illegal migrant alleged 4 sex crimes in first week in U.K. in June…. Time to declare National Emergency https://t.co/oBW…

RT @RupertLowe10: We pay one billion pounds a month in benefits to foreign national households. Let's just stop doing that.

RT @GBNEWS: Small boat migrant accused of four sex crimes in two days - just one week after crossing Channel https://t.co/2BVDeVv7D8

$JOBY & Databricks https://t.co/ucaj4d9WfA

D-Wave $QBTS #QuantumComputing https://t.co/Ii6qiOBdRU

$IonQ announced a $1.0 billion equity offering consisting of common stock and warrants, priced at a premium of approximately 25% to its July 3, 2025 closing price. The offering includes 14.2 million common shares and 3.9 million pre-funded warrants priced at $55.49 each, plus seven-year warrants to purchase 36 million additional shares at $99.88. Heights Capital Management is the sole investor in the transaction, making it the largest single-institutional common-stock investment in the quantum industry to date. IonQ will have a pro-forma cash position of approximately $1.68 billion as of March 31, 2025, to support its long-term quantum commercialization strategy. CEO Niccolo de Masi called the deal a validation of IonQ’s momentum, citing recent acquisitions, intellectual property strength, and ecosystem expansion. J.P. Morgan $JPM served as sole underwriter, with legal representation provided by Paul, Weiss for IonQ, Simpson Thacher for J.P. Morgan, and Skadden Arps for the investor. Broadly, experts and commentators are looking at this deal as a sign of confidence in quantum technology. #QuantumComputing #quantumtechnology #Quantum

Besides the $1 billion figure, which appears to be the biggest equity raise in quantum history (but please feel free to fact check me on this), the deal is important because shares are being sold at a 25% premium over its last closing price. Typically, we see equity raises that give the investor a discount, so this could be read as deep confidence in the company's future. $IONQ

Upcoming Quantum Event Dates Mark your calendars $QBTS $IONQ $RGTI $IBM #QuantumComputing #quantumtechnology #Quantum https://t.co/gwx85MjNXl

D-Wave $QBTS PTs Average $17.29 13% upside. Majority of PTs 20 usd B Riley Craig Ellis upped PT to 20usd https://t.co/WPHCzrcMiu

RT @genejchan: Who woulda thought $QBTS D-Wave's quantum annealers would have applications assisting particle accelerators? New quantum us…

RT @RadioGenoa: Muhammad Khan, a Deliveroo driver, sexuaIIy assaulted a pregnant woman, causing her to lose her baby. He was sentenced to 1…

Exciting times for $CERN & $QBTS D-Wave! Their collab is unlocking new frontiers in physics & AI: Quantum annealing crushed Higgs boson data analysis, proving D-Wave’s tech can handle LHC’s massive datasets. AI + quantum computing = faster, smarter particle detection, paving the way for HL-LHC breakthroughs. 2025 quantum supremacy milestone shows D-Wave’s power to revolutionize simulations, from physics to materials science. CERN’s open-science model + D-Wave’s quantum edge could spark discoveries in dark matter & beyond. The future of science is quantum-powered! #CERN #DWave #QuantumComputing #AI

The synergy between $CERN’s AI-driven data analysis and $QBTS D-Wave’s quantum computing lies in their shared goal of tackling computationally intensive problems. Quantum computing could enhance AI algorithms by providing faster solutions to optimization problems, which are common in machine learning models used at CERN. The CERN QTI’s partnership with the European Space Agency (ESA) for Earth observation also highlights the potential for quantum-enhanced AI in broader scientific applications, such as environmental monitoring and climate change adaptation #QuantumComputing

For example, quantum-optimized AI models could improve climate simulations or discover new materials for sustainable energy, leveraging $CERN’s open-science model to benefit society. 5. Inspiring Technological Convergence. The excitement around CERN, AI, and $QBTS D-Wave reflects a convergence of cutting-edge technologies—quantum computing, AI, and big data—pioneered by institutions like CERN: This alludes to a transformative shift in scientific research, where interdisciplinary tools enable breakthroughs previously thought impossible. It positions CERN as a leader in not just physics but also in driving innovation across quantum and AI technologies. From 2020–2025 CERN and D-Wave have been linked to fringe ideas like “timeline shifts” or “parallel universe experiments.” but the real excitement lies in the tangible scientific advancements Quantum computing enhances CERN’s ability to probe the universe’s mysteries. - AI, supercharged by quantum systems like D-Wave’s, transforms how we process and understand complex data. - Collaborative efforts between institutions like CERN and companies like D-Wave set the stage for breakthroughs with far-reaching implications, from fundamental physics to societal challenges https://t.co/0yRWCBp0tt or D-Wave’s advancements at https://t.co/er23xHnBQq

Promising synergy between $CERN’s high-energy physics (HEP) research, artificial intelligence (AI), and $QBTS D-Wave’s quantum computing technology. Exciting possibilities stemming from their combined AI for scientific discovery. The collaboration between CERN and D-Wave, combined with AI advancements, hints at several transformative possibilities: 1. Revolutionising Data Analysis in Physics: - Context: CERN’s Large Hadron Collider (LHC) generates massive datasets (petabytes per second), requiring advanced computational methods to filter and analyze particle collision events. The 2020 study using D-Wave’s quantum computer to rediscover the Higgs boson in LHC data demonstrated that quantum annealing can tackle complex pattern recognition tasks. - Implication: This success alludes to a future where quantum computing, paired with AI, could dramatically accelerate data processing for the High-Luminosity LHC (HL-LHC), operational by 2029. Faster analysis could lead to quicker discoveries of new particles or phenomena, deepening our understanding of the universe’s fundamental laws. 2. Quantum-Enhanced AI for Science: CERN has adopted AI, like the ATLAS experiment’s GN2 algorithm for jet flavor tagging and the CMS experiment’s neural networks for photon detection. D-Wave’s quantum annealing excels at optimization, a key component of machine learning models. -Implication: The integration of D-Wave’s quantum technology with AI could lead to more efficient algorithms for tasks like event selection, simulation, or anomaly detection. This alludes to a new era of “quantum machine learning” that could outperform classical AI, enabling CERN to uncover subtle physics signals that are currently too complex to detect. 3. Pushing Quantum Computing Toward Practical Applications: - Context: D-Wave’s 2025 quantum supremacy for a magnetic materials simulation (though not directly tied to CERN) highlights the maturing capabilities of quantum annealing. CERN’s 2018 workshop with D-Wave and the 2020 Higgs boson study show early but practical applications in HEP. - Implication: These successes suggest quantum computing is moving beyond theoretical research toward real-world scientific applications. For CERN, this could mean faster simulations of particle interactions or quantum field theories, potentially unlocking insights into dark matter, dark energy, or other mysteries of the universe. 4. Broader Scientific and Societal Impact: CERN’s Quantum Technology Initiative (QTI) and collaborations like the one with D-Wave align with broader efforts to apply quantum computing to fields beyond physics, such as materials science and climate modeling. D-Wave’s work with other institutions (e.g., Forschungszentrum Jülich for cosmological simulations) complements this vision. - Implication: The success of CERN and D-Wave’s collaboration alludes to a future where quantum-enhanced AI could address global challenges. #QuantumComputing #Ai #QAI

Quantum computing enhances CERN’s ability to probe the universe’s mysteries. AI, supercharged by quantum systems like D-Wave’s, transforms how we process and understand complex data. Collaborative efforts between institutions like $CERN and companies like D-Wave $QBTS set the stage for breakthroughs with far-reaching implications, from fundamental physics to societal challenges.

1st Nov 2016. $BTC 500usd  Today 118,000 usd  If you saved cash it would be devalued by approx 10% per year but in 9yrs 500 to 118,000 reckon I was right about it being the new safe haven back then and definitely not cash as was bandied about  $ETH was 6gbp too today 3kusd 😉

People always think I'm mad until we are looking in the rear view mirror and they're like wow how did you know that and then still think I'm mad for my today's call outs 🤣 rinse, repeat cycle I've been so used to for years 🤣

Interesting seemingly bias skewed to big boys here ( I'm bullish $IBM) but for clarity Not worried So a.. they're all showing massive advancements on their gated models.. all research is developing off each other and that race is exciting but who knows what's what in 5yrs As far as annealing goes Many many independent research firms have surmised that gated will never rival annealing for optimization problems which are over 75% of the TAM of what businesses need and require The gated race is very different and the progress daily is sublime but when it comes to optimization, annealing has it on lockdown as per everything to date Not only does no one believe gated will rival annealing on optimization. They aren't even here yet. We surmise 5yrs for them and annealing is commerical today with over 100 customers and growing. So it has first mover advantage too and a minimum 5yr head start Simulation and all other areas of qc only equates to the other 25% of the TAM and well they'll all scrap it out for that in 5yrs plus but we can focus on the 75% of the TAM now and still not be rivalled for it when gated does come to fruition Summary their edge is not threatened at all by progress in gated models. D-Wave with their own roadmap for superconducting gated models and as I've shared this week much progress in error correction and reducing decoherence in superconducting Gated models too $QBTS #QuantumComputing https://t.co/QRTKt4r6UX