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Horizon Quantum clarifies details of its March merger

Ivy Delaney
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⚡ Quantum Brief
Horizon Quantum Computing has clarified details regarding its share structure following a period of market uncertainty. As of September 14, 2026, the company reports 34,811,740 Class An Ordinary Shares and 19,744,585 Class B Ordinary Shares outstanding. These shares are subject to lock-up agreements extending until March 19, 2028, for most shareholders, with one agreement expiring earlier on September 19, 2027, following the March 2026 merger with dMY Squared Technology Group. Founded in 2018 and now publicly listed on Nasdaq, Horizon Quantum develops software tools translating classical code into quantum circuits and operates its own quantum hardware.
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Horizon Quantum Computing has clarified details regarding its share structure following a period of market uncertainty. As of September 14, 2026, the company reports 34,811,740 Class An Ordinary Shares and 19,744,585 Class B Ordinary Shares outstanding. These shares are subject to lock-up agreements extending until March 19, 2028, for most shareholders, with one agreement expiring earlier on September 19, 2027, following the March 2026 merger with dMY Squared Technology Group. Founded in 2018 and now publicly listed on Nasdaq, Horizon Quantum develops software tools translating classical code into quantum circuits and operates its own quantum hardware.

Business Combination Lock-Up Agreements Extend to March 19, 2028 Lock-up agreements extend to March 19, 2028, for the majority of Horizon Quantum’s shareholders, a detail clarified following recent market activity. The lock-up period, lasting twenty-four months after the merger’s close, aims to maintain market stability and demonstrate long-term investor confidence in Horizon Quantum’s trajectory, the company says. This timeframe aligns with standard practices for companies emerging from special purpose acquisition company (SPAC) mergers, providing a buffer against immediate selling pressure. One shareholder benefits from an earlier release, with their lock-up agreement expiring eighteen months after the closing date, or September 19, 2027. The company’s decision to publicly address these agreements comes after a period of market uncertainty, proactively assuring investors of the existing restrictions on share sales. This transparency is particularly relevant given Horizon Quantum’s status as the first publicly traded company focused solely on quantum software, a field attracting significant investment and attention. In March 2026, the merger with dMY Squared Technology Group completed, resulting in approximately $120 million in gross proceeds for Horizon Quantum, alongside the aforementioned PIPE investment that included backing from IonQ. The company is currently collaborating with Alpine Quantum Technologies to integrate its software infrastructure with AQT’s trapped-ion quantum systems, a partnership announced earlier in 2026 and indicative of its commitment to hardware-software co-design. To date, all lock-up agreements stemming from the business combination remain in effect, according to the company. Source: https://www.horizonquantum.com/resources/newsroom/horizon-quantum-clarifies-certain-information-regarding-the-company More like thisQuantum Computing Business NewsFormer Mossad Chief Yossi Cohen Joins Quantum X LabsArtificial IntelligencePasqal and LG CNS build quantum-ready AI data centersQuantum Computing Business NewsMaryland wins Riverlane’s U.S. headquarters, boosting quantum workQuantum Computing Business NewsJij Inc to host Quantum World Congress 2026 startup pitch competitionStay 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.

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