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The quantum computing industry is growing with companies developing new types of computers. These businesses are located worldwide, including in the United States, Europe, and Australia.
Some companies have attracted large investments, like PsiQuantum which has raised $2.3 billion. SandboxAQ and Quantinuum have also secured nearly one billion dollars each to fund their work.
Below is our list of 53 Quantum Computing startups worth keeping an eye on.
Everything you need to raise funding for your startup, including 3,500+ investors, 7 tools, 18 templates and 3 learning resources.
Buy It For $97 $297 →Information about the industries, countries, and cities they generally invest in.
Get the Sheet for $50Information about their valuation, HQ's location, founded year, name of founders, funding amount and number of employees.
Get the Sheet for $50List of startup investors in the BioTech, Health, and Medicine industries, along with their Twitter, LinkedIn, and email addresses.
Get the Sheet for $50List of 250 startup investors in the AI and Machine Learning industries, along with their Twitter, LinkedIn, and email addresses.
Get the Sheet for $50List of 250 startup investors in the FinTech and Finance industries, along with their Twitter, LinkedIn, and email addresses.
Get the Sheet for $50Quantinuum builds integrated quantum computers, combining high-performance hardware with sophisticated software. They develop commercial applications for this technology to solve complex problems in cybersecurity, chemistry, and finance.
IQM Quantum Computers builds full-stack quantum computers with superconducting processors for on-premises use. Their systems are designed for research institutions and supercomputing centers, giving them direct access to powerful quantum hardware.
Infleqtion builds quantum-enabled products and software designed for commercial and defense applications. Their work translates complex quantum science into tangible hardware and systems for sensing, computing, and communication.
SandboxAQ develops enterprise software that merges AI with quantum technologies for industries like cybersecurity and drug discovery. Their solutions help organizations prepare for the security threats of quantum computing while also accelerating the development of new medicines and materials.
The team at Phasecraft develops quantum algorithms designed to run on near-term quantum computers. Their goal is to apply this technology to solve complex scientific and industrial problems that classical computers cannot handle.
QuEra Computing builds neutral-atom-based quantum computers designed to solve problems that are intractable for classical machines. Their 256-qubit system, Aquila, is one of the first of its kind to be publicly available for commercial and research use.
PsiQuantum is building a fault-tolerant quantum computer by pioneering a unique approach using photonics. This method is designed to create a million-qubit machine, a scale the company believes is necessary to solve commercially valuable problems.
Oxford Ionics develops high-performance quantum processors using a unique trapped-ion approach. Their proprietary electronic qubit control technology allows for a significant leap in processor performance and scalability.
Q-CTRL develops infrastructure software that uses control engineering to improve the performance of quantum hardware. Their tools help researchers and developers overcome instability and errors, accelerating the journey toward commercially viable quantum computers and sensors.
Quantum Motion builds universal quantum computers by creating quantum bits directly on silicon chips. Their approach uses standard CMOS manufacturing, a method that could make powerful quantum processors much faster and cheaper to produce.
Our top ten picks are just a small slice of what’s happening in the quantum field. Dozens of other companies are building everything from the core hardware to new AI applications, and have collectively raised billions to push the field forward.
Below is a look at the other startups shaping this emerging industry.
| Startup | Main Industry | Year Founded | Amount Raised | Last Funding Round |
|---|---|---|---|---|
| AI | 2019 | $344.3M | Series B | |
| Data | 2016 | $268.3M | Debt Financing | |
| Hardware | 2017 | $146.5M | Series B | |
| Data | 2020 | $162.6M | Series B | |
| Hardware | 2018 | $28M | Series A | |
| Cloud | 2018 | $23.5M | Series A | |
| Hardware | 2022 | $37.5M | Series A | |
| Manufacturing | 2018 | €13M | Series A | |
| Hardware | 2016 | CA$138M | Grant | |
| Mobility | 2023 | $3.2M | Seed | |
| Hardware | 2018 | $263M | Series C | |
| Cloud | 2019 | $79.4M | Series A | |
| Manufacturing | 2022 | $24M | Series A | |
| Manufacturing | 2018 | $62M | Series A | |
| Hardware | 2020 | $171.8M | Series C | |
| Hardware | 2018 | $68.6M | Series A | |
| Hardware | 2022 | $62.9M | Venture Round | |
| AI | 2022 | $304.5M | Initial Coin Offering | |
| Hardware | 2019 | $90M | Private Equity | |
| Security | 2017 | $22.5M | Series A | |
| Hardware | 2018 | $21.3M | Series A | |
| Security | 2018 | £11.3M | Seed | |
| Security | 2018 | $63.9M | Series B | |
| Hardware | 2017 | $67.5M | Series B | |
| Cloud | 2019 | $14.4M | Seed | |
| AI | 2014 | $72.8M | Venture Round | |
| Hardware | 2022 | $40M | Grant | |
| Hardware | 2022 | €50M | Series A | |
| Crypto | 2019 | $17.8M | Venture Round | |
| Cloud | 2017 | CN¥1B | Venture Round | |
| Hardware | 2020 | $30.7M | Series A | |
| Hardware | 2021 | €4.3M | Seed | |
| AI | 2022 | $25.1M | Venture Round | |
| Hardware | 2022 | €19.4M | Venture Round | |
| Hardware | 1980 | £6.1M | Seed | |
| Hardware | 2016 | £8.2M | Venture Round | |
| Manufacturing | 2015 | $34.1M | Series A | |
| Crypto | 2018 | DKK14.7M | Grant | |
| Hardware | 2017 | $133.4M | Series A | |
| AI | 2021 | $8M | Seed | |
| Manufacturing | 2024 | €2.4M | Seed | |
| Hardware | 2021 | $30M | Grant | |
| Infrastructure | 2020 | $1.5M | Seed |
