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About
Rigetti Computing is a full-stack quantum computing company that designs, manufactures, and deploys superconducting quantum processors for research institutions, enterprises, and developers worldwide. Their quantum processing units (QPUs) are cooled to near-absolute-zero temperatures using dilution refrigerators, enabling the precise quantum operations needed to tackle complex computational problems. Rigetti's flagship cloud system, Ankaa-3, features 82 qubits with industry-leading gate fidelities — 99.91% for single-qubit gates and 98.42% for two-qubit ISWAP gates — delivered with T1 and T2 coherence times that enable meaningful quantum circuit execution. For on-premises research, Rigetti offers the Novera QPU, a 9-qubit quantum processor ready to ship, giving labs unprecedented direct access to quantum hardware. Access to Rigetti's quantum systems is available via the Quantum Cloud Services (QCS) platform, where developers can run programs using open-source frameworks like Quil and pyQuil. The platform supports hybrid quantum-classical workflows, making it suitable for exploring quantum algorithms, optimization, machine learning acceleration, and materials simulation. Rigetti is particularly well-suited for quantum algorithm researchers, enterprise R&D teams, and academic institutions looking to push the boundaries of computational science.
Key Features
- Ankaa-3 82-Qubit Cloud QPU: Access Rigetti's most advanced quantum processor featuring 82 qubits, 99.91% single-qubit gate fidelity, and 98.42% two-qubit ISWAP fidelity over the cloud.
- Novera 9-Qubit On-Premises QPU: Purchase and deploy a physical 9-qubit quantum processor for direct on-premises quantum research and experimentation.
- Quantum Cloud Services (QCS): A cloud platform that enables developers to write, compile, and execute quantum programs using open-source tools like Quil and pyQuil.
- Hybrid Quantum-Classical Workflows: Supports integration of quantum circuits with classical computation for practical hybrid algorithm development and optimization tasks.
- Superconducting Qubit Architecture: Purpose-built dilution refrigerator-cooled hardware reaching temperatures 100x colder than outer space for stable, high-fidelity qubit operation.
Use Cases
- Academic and institutional quantum algorithm research using real superconducting qubit hardware accessible via the cloud.
- Enterprise R&D teams exploring quantum approaches to optimization problems in logistics, finance, or supply chain.
- Quantum chemistry and materials simulation for drug discovery or advanced materials design.
- Hybrid quantum-classical machine learning experiments combining quantum circuit layers with classical neural networks.
- On-premises quantum hardware deployment via the Novera QPU for university labs and dedicated quantum research centers.
Pros
- Industry-Leading Gate Fidelities: The Ankaa-3 system achieves 99.91% single-qubit and 98.42% two-qubit gate fidelities, among the best available on cloud quantum hardware.
- Flexible Access Options: Offers both cloud-based access through QCS and direct hardware purchase (Novera QPU), catering to a wide range of research setups.
- Open-Source Ecosystem: Supports open-source frameworks (Quil, pyQuil) and integrates with the broader quantum software ecosystem, lowering the barrier to experimentation.
Cons
- High Cost of Entry: Physical QPU hardware and cloud compute time represent significant financial investment, limiting accessibility for individual researchers or small teams.
- Limited Qubit Count: At 82 qubits, Rigetti's systems are not yet at fault-tolerant scale, restricting the complexity of quantum algorithms that can be run.
- Steep Learning Curve: Quantum programming concepts, circuit design, and noise management require specialized expertise that can be a barrier for teams new to quantum computing.
Frequently Asked Questions
What is the Novera QPU and who is it for?
The Novera QPU is Rigetti's 9-qubit quantum processing unit available for direct purchase and on-premises installation. It is designed for research institutions, universities, and labs that want hands-on access to real quantum hardware without relying solely on the cloud.
How do I access Rigetti's quantum computers?
You can access Rigetti's cloud-based QPUs (including the 82-qubit Ankaa-3) through Quantum Cloud Services (QCS) at rigetti.com. Developers write programs using the Quil language or pyQuil Python library and submit jobs to run on live quantum hardware.
What programming languages and frameworks does Rigetti support?
Rigetti supports Quil (Quantum Instruction Language) as its native quantum assembly language and pyQuil as its Python SDK. It also integrates with broader quantum frameworks and hybrid quantum-classical workflows.
What are the key hardware specs of the Ankaa-3 system?
Ankaa-3 was deployed on December 23, 2024, and features 82 qubits, a T1 lifetime of 34 µs, T2 lifetime of 20 µs, 99.91% single-qubit gate fidelity, and 98.42% two-qubit ISWAP gate fidelity.
What types of problems can be solved using Rigetti's quantum computers?
Rigetti's systems are suited for quantum algorithm research, combinatorial optimization, quantum machine learning, chemistry simulation, and materials science — particularly where hybrid quantum-classical approaches can offer computational advantages.
