From hardware to algorithms — the startups making quantum computing commercially viable.
While Google, IBM, and Microsoft dominate quantum computing headlines, a vibrant ecosystem of startups is building the software, algorithms, and applications that will make quantum computing commercially relevant. In 2026, quantum computing startups raised $3.2 billion—a 60% increase over 2025.
On the hardware side, PsiQuantum is leading the photonic quantum computing approach, arguing that photon-based qubits are easier to manufacture at scale than the superconducting qubits used by Google and IBM. The company has partnered with GlobalFoundries to fabricate quantum chips using existing semiconductor manufacturing infrastructure, potentially reducing the cost of quantum processors by an order of magnitude.
IonQ and Quantinuum continue to advance trapped-ion quantum computers, which offer higher qubit fidelity than superconducting approaches at the cost of slower gate speeds. Quantinuum's H2 processor holds the record for the lowest two-qubit error rate among commercially available quantum computers.
The software layer is where most VC dollars are flowing. Classiq (quantum circuit synthesis), Zapata AI (quantum-classical hybrid algorithms), and QC Ware (quantum algorithms for finance) are all growing rapidly. These companies are solving the 'programmability gap'—making it possible for domain experts to use quantum computers without a PhD in quantum physics.
Vincony's Deep Research tool is invaluable for investors and researchers tracking the quantum computing landscape—synthesising papers, patents, and funding announcements across the entire ecosystem in a single session.