Quantum

finQbit's market risk modelling platform uses GPUs and quantum computing to enable quantitative analysts without quantum computing expertise to create models as they would on classical computers. More than $5T USD is traded daily on the OTC derivatives market, so every percent of accuracy improvement matters. However, market risk management involves complex simulation challenges, which classical computing struggles to handle. finQbit develops more optimal algorithms and can train risk models 10x faster than competitors.

Falcondale offers a quantum software-as-a-service (QSaaS) solution for the finance sector. It focuses on enhancing quantum machine learning (QML) models for improved fraud detection and credit scoring. The solutions help banks, fintechs, and neobanks better screen applicants and create tailored financial products without requiring in-depth expertise in the quantum domain.

InfinityQ is building a quantum-inspired technology optimization platform for global supply chain management, a market that is projected to exceed $42B USD by 2026. Modern supply chains involve numerous suppliers, distributors, and logistics providers, which produce large and complex datasets that classical solvers cannot process efficiently. InfinityQ’s technology can tackle these complex optimization problems up to 1K times faster than conventional tools.

Quantum Network Technologies (Qunett) is developing a scalable quantum network architecture for researchers, government agencies, quantum computing companies, and telecommunications providers requiring high-quality, scalable connectivity among quantum devices. Unlike competitors constrained by specific hardware platforms or limited scalability, Qunett's solution integrates with existing infrastructure and offers a versatile approach to enable practical quantum networks. Spun out of MIT and the University of Maryland, Qunett brings extensive expertise in quantum optics, diamond-based photonics, and quantum network theory to address critical gaps in the quantum technology industry.

QC Design is developing Plaquette, a fault-tolerance design automation (FDTA) software for quantum hardware manufacturers. Quantum hardware companies require powerful simulation tools to account for real-world hardware imperfections when designing fault-tolerant quantum computers. Plaquette is the only tool capable of simulating arbitrary errors on fault-tolerance circuits with thousands of qubits, enabling hardware companies to accelerate development and reduce costs.

Red Blue Quantum Inc. (RBQ) is developing an integrated stack of services for superconducting chips, including design, fabrication, and experimental characterization. Unlike competitors offering fragmented solutions, RBQ provides a one-stop shop with a 6-month turnaround time from design to experimental characterization. This integrated approach removes inefficiencies, reduces costs, and accelerates development cycles for quantum and classical computing applications.

ZuriQ is developing a scalable trapped-ion quantum computer using a novel 2D ion confinement approach. Unlike competitors constrained by 1D architectures, ZuriQ's technology enables true 2D grids of ions, offering superior scalability and control. Spun out of ETH Zurich's quantum computing research, ZuriQ aims to accelerate the path to quantum utility by rapidly increasing qubit numbers in the trapped-ion modality.

Singularity Quantum develops quantum software for simulating cardiovascular blood flow in heart disease patients. Traditional simulation methods are imprecise, time-consuming, and computationally intensive, preventing cardiologists from taking action in a timely manner. Singularity Quantum offers accurate, near real-time analysis, facilitating early diagnosis and effective treatment.