A new IonQ and Kipu Quantum study confirms that scaling from 36 to 64 qubits significantly improves portfolio optimisation outcomes. The research validates the hybrid quantum-classical model, positioning Quantum Links AI as the intelligent orchestration platform that lets financial institutions harness this scaling advantage today.
-- Milton Keynes, UK - A landmark study demonstrating that a higher number of qubits leads directly to superior financial optimization outcomes has provided powerful validation for the hardware-agnostic orchestration platform developed by Quantum Links AI.
The research, conducted by IonQ and Kipu Quantum, focused on a 250-asset portfolio optimization problem—a scale highly relevant to real-world financial markets . The study delivered concrete evidence that as quantum hardware scales, the quality of solutions for complex financial problems improves significantly .
Crucially, the research relied on a hybrid quantum-classical approach, where quantum processors handled the most computationally intensive subproblems while classical computers refined the results . This is precisely the architecture that Quantum Links AI has built.
"This study proves exactly what we have been telling the market: the hardware is scaling, the hybrid model works, and the financial returns are becoming tangible," said Tariq Syed, CEO of Quantum Links AI. "But to capture that value, financial institutions need a software layer that can intelligently route workloads to the best available hardware. That is exactly what Quantum Links AI delivers."
How Quantum Links AI Translates Research into Enterprise Value
The findings of the IonQ/Kipu Quantum study map directly to the core capabilities of the Quantum Links AI platform in three key areas:
1. Scaling Hardware Delivers Better Results
The study found that increasing the qubit count from 36 to 64 improved portfolio optimization results. This means the quality of quantum-powered financial models will continuously improve with hardware advancements. Quantum Links AI's platform seamlessly integrates with multiple hardware providers, ensuring clients always have access to the latest and most powerful quantum processors as they scale.
2. Hybrid Approaches Work Today
The research demonstrated that hybrid quantum-classical approaches are effective for large-scale problems right now. Financial institutions do not need to wait for fault-tolerant quantum computers to start leveraging quantum capabilities. The Quantum Links AI platform is designed natively for this hybrid computation, intelligently routing workloads between classical and quantum resources to maximize performance and efficiency.
3. Hardware Choice Matters
The study showed that trapped-ion quantum computers offer specific advantages for financial optimization problems, highlighting that the choice of quantum hardware can significantly impact algorithm performance. With its hardware-agnostic approach, Quantum Links AI allows institutions to use the optimal quantum architecture for each specific problem, whether trapped-ion, superconducting, or another modality.
Quantum Links AI is at the forefront of this hybrid revolution. The company's AI-powered orchestration platform acts as the central nervous system for enterprise-level quantum computing. It intelligently analyzes computational workloads and routes them to the most appropriate quantum or classical resource—whether from AWS Braket, IBM Quantum, Azure Quantum, or Google Quantum AI.
"The financial services industry is on the cusp of a quantum-driven transformation," added Tariq Syed. "The ability to more accurately model risk, optimize portfolios, and price complex derivatives will provide a significant competitive advantage. Quantum Links AI is the key that unlocks this potential, providing a secure, scalable, and hardware-agnostic on-ramp to the quantum future."
For more information about Quantum Links AI and its hybrid quantum-classical orchestration platform, visit www.quantumlinks.ai.
About Quantum Links AI
Quantum Links AI aims to make quantum computing accessible to everyone. The company is building an intelligent orchestration layer that seamlessly integrates classical and quantum computing resources, enabling enterprise clients across finance, life sciences, logistics, and energy to unlock near-term quantum advantage.
References
[1] Swayne, M. (2026, March 24). Study Finds More Qubits
Yield Better Financial Optimization Outcomes. The Quantum Insider.
CEO: Tariq Syed
+44 7989 401395
Contact Info:
Name: Tariq G N Syed
Email: Send Email
Organization: Quantum Links AI Limited
Address: 3 Braunston Woughton Park, Milton Keynes, England MK6 3AT, United Kingdom
Phone: +44-7989-401395
Website: https://www.quantumlinks.ai
Source: PressCable
Release ID: 89188561
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