Quantum computing systems and software for enterprise optimization
D-Wave manufactures both annealing and gate-model quantum computers, positioning itself as the only commercial vendor offering both architectures. The tech stack reveals heavy investment in quantum tooling (Qiskit, Cirq, MLIR) alongside classical optimization solvers (CPLEX, Gurobi), and the hiring surge (45 roles in 30 days, predominantly senior engineers) signals aggressive scaling of production and compiler capability as the company moves from research into enterprise deployment.
Notable leadership hires: Customer Solutions Director, Sales Lead
D-Wave develops and delivers quantum computing hardware, software, and services to over 100 organizations across commercial, government, and research sectors. The company manufactures quantum computers in two architectural families—annealing and gate-model systems—and offers them both on-premises and via Leap, a quantum cloud service with 99.9% uptime. Active projects span quantum compiler development, error mitigation, qubit characterization, and resource estimation tools that help customers map real problems to quantum hardware. Supply chain and material availability appear as active concerns, reflecting the capital-intensive nature of quantum manufacturing.
D-Wave provides both annealing and gate-model quantum computers. It is the only commercial vendor supplying both architectures. Systems are available on-premises or via Leap cloud service with 99.9% uptime.
Core stack includes C++, Python, Rust, and Julia for development. Quantum tooling: Qiskit, Cirq, MLIR. Optimization: CPLEX, Gurobi. Infrastructure: AWS, Kubernetes, Terraform. Also uses MATLAB, NumPy, scikit-learn, and embedded Linux.
D-Wave's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.