Quantum computing is opening new possibilities for tackling computational problems that are difficult for classical systems alone. From simulating molecules and materials to exploring complex optimization problems, financial models, and new approaches to AI, organizations are beginning to investigate where quantum computing could complement today’s computing infrastructure.

Oracle and Quantinuum recently announced a strategic partnership to bring Quantinuum’s Helios quantum computer to Oracle Cloud Infrastructure (OCI). Helios is planned for deployment in an OCI AI data center, creating opportunities to explore tighter integration between quantum computing and OCI’s AI, GPU, HPC, data, and cloud services.

At this time, we’d like to invite eligible Oracle customers and developers to participate in a no-cost special early access program. Selected eligible participants will receive access to quantum hardware and emulators hosted by Quantinuum. If selected, you will be able to test candidate workloads and evaluate how quantum computing could complement your existing approaches. Participation is limited and subject to Oracle approval, eligibility requirements, capacity, terms, conditions, and restrictions.

Start with a workload question

Quantum computing is an active area of research and engineering. It does not establish a performance advantage for every difficult problem. A useful first experiment starts with a specific computational question, a known classical approach, and an outcome the team can assess. Comparing results with today’s methods can help organizations understand where quantum computing could make a practical difference.

Researchers and enterprises are exploring potential applications across areas such as:

  • Chemistry and materials: Simulating molecules, chemical reactions, batteries, catalysts, and new materials.
  • Life sciences: Exploring molecular simulation and optimization techniques that could support drug discovery.
  • Optimization: Investigating complex scheduling, logistics, supply-chain, and financial optimization problems.
  • AI and machine learning: Exploring how quantum algorithms could complement AI for optimization, sampling, and other computational tasks.

The goal of early experimentation is to understand which problems are good candidates for quantum computing and where it could provide value alongside existing technologies.

Bringing quantum, AI, and HPC together

For many enterprise applications, the future of quantum computing is likely to be hybrid. Hybrid quantum computing assigns different parts of a workflow to the resources best suited to them.

Instead of replacing classical infrastructure, quantum processors can work alongside CPUs, GPUs, AI accelerators, and high-performance computing (HPC). An application might use classical systems to prepare and process data, GPUs for AI or simulation, and a quantum processing unit (QPU) for a specific part of a computation.

This hybrid approach can allow developers to explore an important question: what happens when the right type of compute – CPU, GPU, or QPU – is applied to each part of a problem?

Developers can start exploring quantum computing today

Developers can begin learning and testing quantum programs with publicly available tools while their teams identify and refine workload questions, by using Nexus, Quantinuum’s developer platform, including Guppy, a quantum-first programming language; Selene or other emulators, and other tools optimized for developing and running quantum programs on Quantinuum Systems.  

Sign up today for early access

Organizations that want to explore hybrid quantum computing should begin with a concrete workload question, the classical method used today, and the technical and business outcome they want to evaluate. Early exploration can help a team understand the fit of a quantum approach, identify constraints, and determine whether a deeper experiment is warranted.

Get started by filling out the early access registration form. Participation is limited to selected eligible customers and is subject to Oracle approval, capacity, terms, conditions, and restrictions. Before registering, teams should identify the use case they want to examine and the colleagues who can assess technical, data, and operational constraints.

Whether you’re already experimenting with quantum algorithms or want to understand where quantum computing could fit into your organization’s future architecture, we’d like to hear from you.

Sign up to express interest in Oracle and Quantinuum Helios quantum computing preview.

Future Product Disclaimer

The discussion of planned OCI quantum service capabilities and Helios deployment outlines Oracle’s general product direction and is for informational purposes only. It is not a commitment to deliver any material, code, or functionality and should not be relied on for purchasing decisions. Product development, release, timing, pricing, and functionality may change at Oracle’s sole discretion.