
BigBang14
142 posts









The U.S. is set to award $2B to quantum companies through the CHIPS and Science Act with deals structured as grants plus minority government equity stakes. Awards reportedly include: • $IBM ~$1B • $GFS ~$375M • $QBTS ~$100M • $RGTI ~$100M • $INFQ ~$100M

$IONQ Nature Physics, May 1. First demonstration of fourth-order generalized squeezing on any platform. ~100× faster than conventional methods. Single trapped ion. Co-authored by Chris Ballance Oxford Ionics co-founder, now @IonQ_Inc President of Quantum Computing. ⛓️💥 nature.com/articles/s4156… Full scoop 👇 $IONQ #IonQ #QuantumComputing





With this breakthrough, the gate speed of $IONQ's trapped ions modality will be within about 1 order of magnitude of superconductors, which will make it basically a moot point given the other massive advantages the former has Can't wait for them to commercialize this



$IonQ @einrideofficial just announced @amazon as a customer. 75 electric heavy-duty trucks across five US locations, up to 3 million electric transport miles per year on Amazon’s middle mile network powered by Amazon Relay. Saga AI runs the optimization, including charging planning. For our community @IonQ_Inc is a strategic investor in Einride since the $100M round in October 2025. PIPE oversubscribed at $113M. NYSE listing under $ENRD coming H1 2026. And one week ago, the two companies co-published arXiv 2604.11758 Iterative-QAOA applied to Einride’s Shipment Selection Problem on real fleet data. Saga AI is the classical layer running on Amazon today. The quantum layer is being built to warm-start it. IonQ doesn’t just sell quantum hardware. It invests in the customers whose problems quantum will eventually solve, then co-develops the integration before the technology is fully ready. Einride is the textbook case. Amazon is what makes the customer real at scale. $IONQ $ENRD #IonQ #QuantumOptimization


$IONQ Marco Pistoia published a blog on IonQ's site. Pistoia is CEO of IonQ Italia. Before joining IonQ, he led quantum research at J.P. Morgan. In the blog, Pistoia names portfolio optimization as a "textbook problem" that classical supercomputers have had to handle with "heavy approximations." Pistoia's claim is that IonQ is now solving portfolio optimization better than the best classical methods. In production, on a 250-asset S&P 500 universe. Per the blog, IonQ optimized a 250-asset universe drawn from the S&P 500 on a 100-physical-qubit system using a nonvariational algorithm class called BF-DCQO. Pistoia writes that the result was "better than any classical solver" IonQ tested against. IonQ now has a production-grade quantum product for the financial services industry. The executive making the claim led quantum research at J.P. Morgan before joining IonQ, and is now publicly making production claims aimed at his former industry. Pistoia's blog names the roadmap context. By next year IonQ targets 10,000 physical qubits and 800 logical qubits. At that scale, the current need to break large problems into smaller pieces disappears. (photo by Marco Pistoia)


$IONQ Most obvious sell the news event as I warned. Key support: $40 ish. Key resistance: $55 ish. The bulls know what to do if the stock dumps more AH and for the rest of this week. Consistently closing above the 200 day MA (close to $47) post-earnings would also be a bull signal. Ignore the noise and look for the next strategic entry.








In town. See you Tuesday. $IonQ






