Options Technology has launched the first commercial quantum compute platform specifically for New York City’s capital markets, marking a significant leap forward in financial computing power. Delivered as part of its global hybrid compute platform and housed within a Digital Realty data center, the system integrates commercial quantum systems from Oxford Quantum Circuits (OQC) alongside existing classical and GPU infrastructure. This addresses a growing need for firms to move beyond data availability and tackle computationally intensive tasks like portfolio optimization and risk modelling. “Quantum computing is no longer theoretical for capital markets, it’s becoming a practical tool for specific, high-value problems,” said Danny Moore, President and CEO of Options Technology. By offering secure access through its low-latency global infrastructure – connecting over 70 data centers worldwide – Options is enabling clients to experiment with and adopt quantum capabilities within existing, regulated environments.
Options Delivers First NYC Quantum Compute Platform
This deployment addresses limitations beyond mere data access, allowing firms to better simulate, optimize, and manage risk on a large scale—challenges increasingly straining classical computing architectures. The platform is particularly suited to probabilistic tasks like portfolio optimization and derivatives risk modelling, allowing parallel exploration of complex market scenarios.
Oxford Quantum Circuits Systems Integrated with Hybrid Infrastructure
Oxford Quantum Circuits (OQC) systems are now integral to a commercially accessible quantum compute platform launched in New York City, operating within a data center run by Digital Realty and seamlessly integrated into Options Technology’s low-latency global infrastructure. This deployment isn’t simply about adding new hardware; it’s a deliberate strategy to combine commercial quantum systems with existing high-performance classical and GPU-based compute, responding to demands based on performance, latency, power, data sovereignty, and regulations. The platform connects over 70 data centers globally, providing secure access to quantum compute for targeted workloads without disrupting current production environments.
Capital markets present unique computational challenges, particularly in areas like portfolio optimisation and derivatives risk modelling, which demand the exploration of numerous probabilistic outcomes under volatile conditions. This hybrid approach allows clients to experiment and validate quantum capabilities within a secure, finance-grade environment, anticipating a shift from experimentation to real-world application as the technology matures.
Quantum computing is no longer theoretical for capital markets, it’s becoming a practical tool for specific, high-value problems.
Danny Moore, President and CEO of Options Technology
Capital Markets Workloads Benefit from Probability-Native Compute
The power of the hybrid architecture is realized through specific quantum algorithms designed for optimization and simulation. For instance, Quantum Approximate Optimization Algorithm (QAOA) can be employed to solve combinatorial optimization problems inherent in asset allocation. By mapping the quadratic objective function of portfolio risk onto the Ising model, the system allows multiple classical and quantum processors to work in concert, passing results iteratively to converge on optimized resource mixes faster than classical solvers.
Operationally, the latency requirements are mitigated by optimizing the data flow between the classical GPU cluster and the quantum module. This often involves executing the highly repetitive matrix multiplication required by variational quantum eigensolvers (VQE) entirely on the high-performance classical resources, reserving the quantum circuit time only for the core, problem-specific Hamiltonian measurements.
A crucial technical consideration in this domain remains quantum error correction. Current Noisy Intermediate-Scale Quantum (NISQ) devices, such as the OQC systems, operate with inherent qubit decoherence and gate errors. Therefore, the commercial platform is designed to manage this noise through sophisticated compilation layers and tailored circuit depth optimization, enabling reliable results despite the physical limitations of superconducting qubits.
Furthermore, the integration leverages advancements in quantum networking principles, ensuring that the physical connectivity across the 70+ data centers is not merely bandwidth provision but involves standardized quantum key distribution protocols. This multilayered approach addresses not only computational capacity but also the growing regulatory requirement for quantum-resistant cryptographic security.
Options Technology has deployed the first commercially accessible quantum computing capability within a New York City data center operated by Digital Realty, integrating it into their existing low-latency global infrastructure. This advancement arrives as capital markets increasingly face limitations not from data scarcity, but from the capacity to simulate and manage risk on a large scale. Quantum computing offers a “probability-native compute model” designed to tackle computationally intensive problems beyond the reach of traditional systems, particularly benefiting simulation-heavy tasks. Capital markets workloads, such as large-scale portfolio optimisation and derivatives risk modelling, demand exploration of numerous potential outcomes, straining classical computing resources.
