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Haiqu Raises $4 Million in Pre-Seed Funding to Boost Adoption of Near-term Quantum Computing

Haiqu

Insider Brief

  • Haiqu announced that it has closed a $4M financing round led by MaC Venture Capital.
  • Toyota Ventures, SOMA capital, u.ventures, SID Venture Partners and Roosh Ventures also participated in the round.
  • Haiqu builds software to enhance the performance on quantum processors.
  • Image provided: Haiqu’s leadership team Mykola Maksymenko (CTO) and Richard Givan (CEO).

PRESS RELEASE — Haiqu, a startup building software to enhance the performance of quantum processors, today announced it has closed a $4 million financing round led by MaC Venture Capital, with participation from Toyota Ventures, SOMA capital, u.ventures, SID Venture Partners and Roosh Ventures. The round also included private contributions from Paul Holland, Alexi Kirilenko and Gordy Holterman.

“We are accelerating the timeline to practical quantum computing by developing novel software that can extract value out of clumsy near-term quantum hardware, enabling quantum applications that were previously impossible.” said Richard Givhan, co-founder and CEO at Haiqu. “We are proud to be backed by investors with remarkable deep-tech ecosystems and a track record of supporting the commercialization of breakthrough tech. “

The investment will drive the company’s research and development efforts and the establishment of strategic partnerships to bring their product to market.

“MaC is thrilled to be supporting Haiqu through their next stage of growth.” said Adrian Fenty, Managing General Partner at MaC Venture Capital. ”We firmly believe that the future of quantum computing will fundamentally change the way we are able to solve meaningful problems. We hold deep convictions that Richard and Mykola are uniquely positioned to tackle these issues in order to accelerate the timeline that will enable quantum to get to widespread commercial adoption.”

“We’ve been watching the quantum computing space for years, but the hardware and hype has kept us just watching,” said Jim Adler, founder and general partner at Toyota Ventures. “Haiqu caught our attention with their optimization software that boosts quantum hardware to solve practical industry problems. We are so thrilled to support the Haiqu team as they tackle this challenging and exciting frontier.”

The startup was formed and incubated in the fall of 2022 within the Creative Destruction Lab Quantum stream in Toronto by Richard Givhan (CEO), a Stanford alumnus and former EIR at Mitsubishi Electric, and Mykola Maksymenko (CTO), formerly a researcher at the Max Planck Society and the Weizmann Institute of Science and head of R&D at global consultancy SoftServe Inc.

Haiqu addresses the foundational bottlenecks precluding the adoption of quantum applications: a limited number of qubits and the high noise sensitivity of near-term quantum processors. The startup develops platform-agnostic technology that extends quantum hardware capability by orders of magnitude and enables a broader set of practical use-cases in finance, chemistry, life sciences, mobility and other domains.

“We leverage our expertise in quantum complexity, AI, and high-performance computing to create a product that we believe can streamline the entire industry.” said Mykola Maksymenko, co-founder and CTO at Haiqu. ”With past experience in building and scaling deep tech R&D in large corporations, we appreciate the challenges of bringing a complex technology to market. We are eager to get our tech into the hands of users as soon as possible.”

Having started as a remote collaboration of co-founders, Haiqu is growing globally via a distributed team spanning the United States, Ukraine, Canada, Germany, and Switzerland. Given the scarcity of quantum talent, this provides the startup access to some of the world’s leading talent pools in quantum and software engineering.

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Matt Swayne

With a several-decades long background in journalism and communications, Matt Swayne has worked as a science communicator for an R1 university for more than 12 years, specializing in translating high tech and deep tech for the general audience. He has served as a writer, editor and analyst at The Quantum Insider since its inception. In addition to his service as a science communicator, Matt also develops courses to improve the media and communications skills of scientists and has taught courses. [email protected]

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The Future of Materials Discovery: Reducing R&D Costs significantly with GenMat’s AI and Machine Learning Tools

When: July 13, 2023 at 11:30am

What: GenMat Webinar

Picture of Jake Vikoren

Jake Vikoren

Company Speaker

Picture of Deep Prasad

Deep Prasad

Company Speaker

Picture of Araceli Venegas

Araceli Venegas

Company Speaker

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