Pasqal to share first-half results

Pasqal, a developer of neutral-atom quantum computers listed as PSQL on Nasdaq, will release its first-half 2026 financial results before U.S. markets open on September 24. The company reports the results cover the six months ending June 30, 2026, and will be discussed in a conference call that day.

Chief Executive Officer Wasiq Bokhari and Chief Financial Officer Stéphane Rougeot will further present at the Jefferies European Disruptive Tech Conference in London on October 13 and the Goldman Sachs Disruptive Technology Symposium in Paris on October 21.

Pasqal Schedules First Half 2026 Earnings Release on September 24 Pasqal will disseminate its financial performance for the first half of 2026 to investors before U.S. This timing suggests an intent to influence initial trading activity based on the reported figures. The company, which listed on Nasdaq as PSQL on August 28, 2026, following a business combination with Bleichroeder Acquisition Corp, is signaling a commitment to transparency with its publicly traded status. This release covers the six months concluding June 30, 2026, and marks a step in establishing investor confidence in the rapidly evolving quantum computing sector. The information will be available via Eastern Time on the release date, with a live webcast and archived replay available on Pasqal’s investor relations website. This schedule indicates a deliberate effort to maximize visibility and potentially attract further investment in the company’s neutral-atom quantum computing technology. Founded in 2019 and headquartered in Palaiseau, France, Pasqal has rapidly expanded its footprint, deploying systems in France, Italy, Saudi Arabia, and Canada, and securing over €440 million in funding. The company’s recent collaborations, including a multi-year research agreement with King Abdulaziz City for Science and Technology focused on quantum cryptography, and a joint venture with Eleven Ventures to scale quantum computing in Saudi Arabia and the MENA region, demonstrate a broadening scope beyond core technological development, Pasqal says. Pasqal’s technology uses neutral-atom qubits, a promising approach to building scalable and reliable quantum processors, and the upcoming earnings release will provide a crucial assessment of the company’s progress in this competitive landscape. Investors seeking meetings with Pasqal representatives are directed to contact their respective conference representatives. Source: https://www.globenewswire.com/news-release/2026/09/14/3361076/0/en/pasqal-announces-first-half-2026-earnings-release-date-and-participation-in-upcoming-investor-conferences.html More like thisQuantum Computing Business NewsIQM reports three continents buy quantum computers—and the software to use themQuantum Computing Business NewsRoberto Mauro to lead Pasqal’s quantum product strategy nowQuantum AlgorithmsVirginia lands 19 new quantum jobs with Phasecraft’s expansionQuantum CompaniesSemiconductor leader John Hollister joins Silicon Quantum Computing as CFOStay currentSee today’s quantum computing news on Quantum Zeitgeist for the latest breakthroughs in qubits, hardware, algorithms, and industry deals. Tags: Ivy Delaney Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing.

For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release. Latest Posts by Ivy Delaney: Hefei’s Hefei Advanced Light Facility nears full operation after key beam test September 22, 2026 NVIDIA AI powers five companies building a low-carbon energy future September 22, 2026 ITMO & Yandex’s quantum science tour of Russia featured donuts & prizes. September 22, 2026