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Quantum Leap Files S-1 for $200M Public Listing

Avatar of Ivy Delaney
July 1, 2026 by Ivy Delaney
Golden cryostat surrounded by Bloch-sphere axis diagrams

Quantum Leap Acquisition Corp is seeking to raise $200 million through an initial public offering, signaling a substantial investment aimed at an as-yet-unspecified target within the rapidly developing technology sector. The company plans to offer 20,000,000 units, each comprised of a Class A ordinary share and a redeemable warrant, with trading expected to begin on the New York Stock Exchange under the ticker symbol “QLEPU” on May 1st. Underwriters have been granted a 45-day option to purchase up to 3,000,000 additional units, potentially increasing the total capital raised. Quantum Leap, formed to effect a merger, amalgamation, share exchange, asset acquisition, share purchase, reorganization, or similar business combination with one or more businesses, intends to focus on acquiring businesses in artificial intelligence, quantum computing, and blockchain technology, led by a team with more than six decades of collective experience in those fields.

$200 Million IPO Pricing and Terms

The offering consists of 20,000,000 units, each comprising one Class A ordinary share and one redeemable warrant, priced at $ per unit. Each warrant provides the holder the option to purchase an additional Class A ordinary share at a predetermined price, subject to standard market adjustments. The company anticipates final closing of the IPO on May 4th, contingent upon the fulfillment of standard regulatory requirements. Following the separation of the units, the ordinary shares and warrants are expected to trade independently on the NYSE under the symbols “QLEP” and “QLEPW,” respectively. A.G.P./Alliance Global Partners is serving as the sole book-running manager for this offering, overseeing the distribution and sale of the units to investors. This over-allotment option allows underwriters to increase the offering size if demand exceeds initial expectations, potentially diluting the ownership stake of early investors but also signaling strong market confidence in the company’s prospects.

The registration statement filed with the Securities and Exchange Commission, designated File No., was declared effective on April 30th, allowing the public offering to proceed. Quantum Leap Acquisition Corp was formed to effect a merger, amalgamation, share exchange, asset acquisition, share purchase, reorganization, or similar business combination with one or more businesses. The company’s stated focus is within the rapidly evolving fields of artificial intelligence, quantum computing, and blockchain technology, though it retains the flexibility to pursue targets across diverse sectors and geographies, excluding China, Hong Kong, Taiwan and Macau.

While the Company may pursue an acquisition in any business, industry, sector, or geographic location (with the exception of China, Hong Kong, Taiwan and Macau), it intends to focus on target companies within the artificial intelligence (“AI”), quantum computing, and blockchain technology sectors.

Quantum Leap Acquisition Corp

Source: https://www.businesswire.com/news/home/20260430004399/en/Quantum-Leap-Acquisition-Corp-Announces-Pricing-of-%24200-Million-Initial-Public-Offering

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Avatar of Ivy Delaney

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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