$IONQ $QNT $IBM $INFQ $QBTS $QS Brookhaven National Laboratory plays a central role in U.S. quantum computing research as the lead institution for the Co-design Center for Quantum Advantage (C2QA), one of the Department of Energy’s five National Quantum Information Science Research Centers. Through C2QA, the lab coordinates a large collaboration of national labs, universities, and industry partners focused on overcoming key barriers to scalable, fault-tolerant quantum computers, particularly by improving qubit coherence and developing modular architectures. Researchers associated with the center have advanced superconducting qubit technology, including tantalum-based devices that have achieved coherence times exceeding one millisecond—the longest reported for this type of qubit—and have demonstrated quantum error correction beyond the break-even point. Brookhaven is also exploring silicon-compatible materials and fabrication methods adapted from semiconductor manufacturing to support more scalable quantum hardware production. The laboratory is simultaneously advancing quantum networking as a foundation for future distributed quantum systems and secure communications. In partnership with Stony Brook University and other institutions, Brookhaven has helped establish one of the nation’s longest quantum networks, spanning roughly 161 miles with multiple nodes across Long Island and the New York metropolitan area. A recent milestone was the demonstration of the first permanent free-space optical quantum link in the United States, which successfully transmitted entangled photons over 13 miles through open air between Brookhaven’s “Quantum Lighthouse” and a corresponding facility at Stony Brook. This wireless capability complements existing fiber links and is intended to support expansion toward additional nodes (including Yale) as well as longer-range applications such as satellite-based quantum communications. Beyond device and network development, Brookhaven integrates quantum research with its broader scientific infrastructure and mission areas. Facilities such as the National Synchrotron Light Source II and the Center for Functional Nanomaterials enable detailed characterization of quantum materials and heterostructures relevant to qubits, sensors, and novel electronic states. The lab also develops quantum algorithms and applications aimed at problems in chemistry, materials science, nuclear physics, and high-energy physics, while exploring quantum information concepts at particle colliders. These efforts position Brookhaven as a bridge between fundamental quantum science and practical technologies intended to support Department of Energy research priorities.

$IONQ Support is currently at $30. I hope to see it bounce back out of it. If we can break $33 and end the day there. I think we can move forward. This is dependent on the Macro as well. NFA. Stay patient.

$INFQ Weekly chart the support is roughly $8.50. $INFQ bounced off. Selling volume looked relatively weak. I anticipate this to come back aggressive. NFA “My second favorite Quantum Company”

$META Q3 2026 Earnings Assessment (Reports After Close Today) Meta reports Q3 2026 results after the market close today (October 21), with consensus expecting revenue around $63.3 billion (roughly 23-25% year-over-year growth, near the upper half of management’s prior $61-64 billion guide) and EPS in the mid-$6 range. The setup leans constructive for a bullish reaction if the advertising engine continues to deliver. Channel checks and analyst previews (including Bernstein and Bank of America) point to solid U.S. consumer demand and AI-driven improvements in ad engagement and pricing supporting a revenue print at or above consensus. The Muse AI LLM that Meta has came out with has been a significant milestone. I have personally played around with it and although it isn't my favorite LLM, it is still solid and promising. I anticipate $META to have a good earnings, that is my prediction today based on the Macro and other Factors. Zuckerberg is someone who pushes and therefore that is my assessment.

$IONQ $INFQ $QNT $QBTS A big thing I look at for upcoming industries is their actual use cases. Quantum in particular will have direct impacts across many industries. The biggest challenge soon will be commercialization. However, I anticipate this will happen in the coming 5 years. Quantum investments are long term bets. A lot of up and down will happen, but these are long plays. Invest accordingly

$NFLX Let’s see if they can rebound not too optimistic in this current environment. Challenges from Youtube and others may have an impacts the stock keeps getting hammered.

$INFQ $INFQ is shifting more attention toward commercial conversations and non-computing revenue. On October 19 it announced the first Quantum Application Forum for November 3 in London, an invitation-only day for executives in finance, healthcare, materials, energy, and telecom to discuss where quantum can create real value. Days earlier the company received £9 million (about $12 million) from Innovate UK to move a quantum radio-frequency direction-finding system from lab prototype toward a deployable product, working with Leonardo. Managing Director UK Colin Sullivan framed it as taking quantum sensing into operational environments. The so-what: sensing and application-focused work can generate revenue and government contracts sooner than large-scale computing, while the London forum helps build the customer pipeline needed for longer-term growth.

$QNT Quantinuum announced on October 19 that its commercial Helios trapped-ion system reached a logical fidelity of 99.9995 percent, equal to roughly five uncorrectable errors per million operations. The result is ten times better than the company’s own September record on the same hardware and about one hundred times better than the best published number from any other hardware type, which came from Google’s superconducting work. CEO Rajeeb Hazra said the outcome shows the company has the error-correction architecture and trapped-ion technology required for universal fault tolerance. The team used a color code whose errors fell by a factor of about twelve each time the code distance increased. Higher accuracy on a machine already available to customers moves Quantinuum closer to its stated 2029 target for Apollo, a universal fault-tolerant system. That progress can support earlier paid cloud usage and enterprise pilots because fewer physical qubits are needed to protect each useful logical qubit. Investors gain a clearer signal that trapped-ion hardware can keep improving accuracy on existing systems rather than waiting for entirely new chips, which may help revenue growth as research trials shift toward production workloads.