Quantum computing market intelligence
Hardware platforms, qubit technologies, and infrastructure applications.
Quantum computing is approaching a transition point from pure research to early commercial utility. While fault-tolerant, general-purpose quantum computers remain years away, noisy intermediate-scale quantum (NISQ) devices and quantum-inspired algorithms are beginning to demonstrate practical value in specific optimization, simulation, and machine learning tasks relevant to infrastructure sectors.
The hardware landscape spans multiple qubit technologies competing for long-term dominance: superconducting qubits (IBM, Google, Rigetti), trapped ions (IonQ, Quantinuum), neutral atoms (Pasqal, QuEra, Atom Computing), photonic qubits (PsiQuantum, Xanadu), and topological qubits (Microsoft). Each approach has different strengths in error rates, connectivity, scalability, and operating requirements. IBM's quantum roadmap targets 100,000+ qubit systems by 2033. Google's Willow processor (105 qubits, December 2024) achieved below-threshold quantum error correction — a milestone the field pursued for nearly 30 years — and later demonstrated the first verifiable quantum advantage on hardware, running an algorithm 13,000 times faster than classical supercomputers.
For infrastructure sectors, the most promising near-term quantum applications include molecular simulation for materials discovery (catalysts for hydrogen production, battery materials, carbon capture sorbents), combinatorial optimization for energy grid management and logistics, quantum-enhanced machine learning for anomaly detection and predictive maintenance, and post-quantum cryptography for securing critical infrastructure communications.
Delphidata tracks quantum computing hardware development, software and algorithm platforms, the application of quantum capabilities to infrastructure sector problems, and the quantum-readiness of critical infrastructure cybersecurity. Coverage focuses on where quantum technology intersects with the energy, materials, and infrastructure domains.
What Delphidata tracks.
Structured data across the full value chain.
Quantum hardware platforms
Quantum processor development across qubit technologies — superconducting, trapped ion, neutral atom, photonic, and topological. Tracked with qubit count, error rates, coherence times, commercial availability, and the manufacturer roadmap for scaling.
Infrastructure applications
Quantum computing applied to infrastructure-relevant problems: materials simulation for catalysts and battery chemistry, energy grid optimization, logistics and supply chain routing, financial portfolio optimization, and fluid dynamics simulation for engineering design.
Quantum software and cloud access
Quantum software development platforms, cloud-based quantum computing access (IBM Quantum, Amazon Braket, Azure Quantum, Google Quantum AI), quantum algorithm libraries, and hybrid classical-quantum workflow tools.
Post-quantum cryptography
Quantum-resistant cryptographic standards (NIST PQC standards), migration planning for critical infrastructure OT networks, and the timeline for quantum computers to threaten current encryption protecting energy grids, financial systems, and communications infrastructure.
Who uses this intelligence.
Energy and materials companies
Explore quantum simulation for catalyst discovery, battery material optimization, and molecular modeling. Evaluate quantum optimization algorithms for grid balancing, energy trading, and logistics problems.
Technology and infrastructure companies
Plan quantum-readiness programs, evaluate post-quantum cryptography migration timelines for OT networks, and assess where quantum-enhanced analytics could provide competitive advantage in infrastructure operations.
Investors and venture capital
Screen quantum computing companies by hardware approach, commercial traction, partnership network, and the near-term application areas most likely to generate revenue. Assess the competitive dynamics between qubit technology approaches.
Government and defense
Track quantum computing capabilities relevant to national security, assess post-quantum cryptography readiness across critical infrastructure, and monitor international quantum technology competition.