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Rigetti Computing Review

Rigetti Computing offers full-stack quantum computing systems built on superconducting qubit technology, designing and manufacturing its own quantum processors for hybrid quantum-classical computing.

shipped Jul 9, 2026paid
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Rigetti Computing — product screenshot

Why it matters

1Founded in 2013, Rigetti Computing develops and deploys superconducting quantum integrated circuits and systems.
2The 108-qubit Cepheus-1-108Q system became generally available in April 2026 across multiple cloud platforms.
3Rigetti is set to receive up to $100 million in planned funding under the CHIPS and Science Act in May 2026.
4Q1 2026 revenues reached $4.4 million, marking a 198% increase year-over-year.

Specs

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GitHub

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API Available

Yes, public API

overview

What is Rigetti Computing?

Rigetti Computing is a Quantum Computing tool developed by Rigetti Computing that enables research institutions, government agencies, and enterprises to develop and deploy superconducting quantum integrated circuits and systems. It provides access to its quantum hardware through its Quantum Cloud Services (QCS) platform. The company designs and fabricates its quantum chips in-house at its dedicated facility, Fab-1, integrating them with control architectures and software. This infrastructure supports a hybrid quantum-classical computing approach, enabling users to execute quantum algorithms using Rigetti's custom instruction language, Quil. Rigetti's systems are applied across various advanced computing applications, including optimization, simulation, and machine learning.

features

Key Features of Rigetti Computing

Rigetti Computing provides a comprehensive suite of features for quantum computing development and deployment, leveraging its full-stack approach from hardware fabrication to software interfaces.

  • Full-stack quantum computing systems, including in-house design and manufacturing of quantum processors at Fab-1.
  • Utilization of superconducting qubit technology for quantum integrated circuits.
  • Integrated systems cooled by dilution refrigerators, maintaining temperatures to one-hundredth of a Kelvin.
  • Support for a hybrid quantum-classical computing approach, enabling complex algorithm execution.
  • Access to quantum hardware via Quantum Cloud Services (QCS) platform.
  • Proprietary custom instruction language, Quil, for programming quantum algorithms.
  • Availability of the Novera 9-qubit QPU for direct shipping and on-premise deployment.
  • Implementation of real-time and low-latency quantum error correction mechanisms.
  • Development of qubit-efficient quantum combinatorial optimization solvers.
  • Hardware platforms include Ankaa, Aspen, Cepheus, Lyra, and Novera, with the 108-qubit Cepheus-1-108Q achieving high gate fidelities.

use cases

Who Should Use Rigetti Computing?

Rigetti Computing's quantum solutions are primarily designed for entities engaged in advanced research, complex problem-solving, and the exploration of next-generation computing paradigms.

  • Research institutions and universities for quantum research, algorithm development, and educational purposes.
  • Government agencies requiring advanced computing capabilities for national security, scientific discovery, and technological leadership.
  • Enterprises seeking to optimize complex scenarios, such as global logistics management and financial modeling.
  • Biochemical and pharmaceutical researchers for simulating molecular interactions, protein folding, and accelerating drug discovery.
  • Machine learning practitioners and AI developers aiming to explore quantum-enhanced AI models and reduce computational overhead for training.

how to use

How to Use Rigetti Computing

To begin using Rigetti Computing's quantum hardware and software, users typically engage with its cloud services or acquire its quantum processing units directly. The process involves programming quantum algorithms and submitting them for execution.

  • 1Register for an account on Rigetti's Quantum Cloud Services (QCS) platform.
  • 2Install the pyQuil SDK to access Rigetti's quantum programming environment in Python.
  • 3Develop quantum algorithms and programs using Rigetti's custom instruction language, Quil, or its extensions like Quil-T.
  • 4Submit quantum jobs to Rigetti's superconducting quantum processing units (QPUs) via the QCS platform.
  • 5Analyze the results of quantum computations for research, optimization, or simulation tasks.
  • 6Alternatively, acquire a Novera 9-qubit QPU for on-premise quantum computing capabilities.

pricing

Rigetti Computing Pricing & Plans

Rigetti Computing operates on a paid model, offering access to its quantum hardware through cloud services and direct hardware sales. Specific pricing for Quantum Cloud Services (QCS) is not publicly detailed and typically involves custom agreements based on usage and access requirements. For direct hardware sales, specific orders have been reported, such as an $8.4 million order from India's C-DAC for a 108-qubit quantum computer and an additional $5.7 million in orders for two 9-qubit systems. Interested parties are advised to contact Rigetti Computing directly for detailed pricing information tailored to their specific needs.

Pros

  • +Full-stack approach with in-house design and fabrication of superconducting quantum processors at Fab-1.
  • +Availability of high-qubit count systems, such as the 108-qubit Cepheus-1-108Q, accessible via multiple cloud platforms.
  • +Support for hybrid quantum-classical computing through its Quantum Cloud Services (QCS) and Quil programming language.
  • +Strong engagement with government and research institutions, evidenced by significant funding and hardware orders.
  • +Achieved high gate fidelities, with 99.85% for single-qubit gates and 98.85% for two-qubit gates on the Cepheus-1-108Q QPU.

Cons

  • −Significant stock volatility and reported operating losses, including $26.0 million in Q1 2026.
  • −Declining gross margins, from 44% in Q4 2024 to 35% in Q4 2025.
  • −High valuation, trading at a forward Price-to-Sales ratio of 272x as of July 2026, which analysts consider overvalued.
  • −Revenue heavily reliant on government programs and research contracts, accounting for approximately 90.2% of total revenue in fiscal year 2025.
  • −Persistent delays in scaling technology and weak commercial traction outside of government and research sectors.

Similar Tools

Rigetti Computing vs Competitors

Rigetti Computing operates within a competitive landscape of quantum computing providers, each offering distinct technological approaches and service models.

1
IBM Quantum↗

IBM Quantum offers a comprehensive suite of quantum computing hardware and software, including its open-source Qiskit SDK, accessible via the cloud.

Similar to Rigetti, IBM Quantum utilizes superconducting transmon qubits and provides cloud-based access to its quantum processors. IBM is a larger, more established company with a broader ecosystem and significant investments in quantum R&D, potentially offering more extensive resources and a wider range of hardware options than Rigetti.

2
Google Quantum AI↗

Google Quantum AI focuses on developing quantum algorithms for machine learning and artificial intelligence applications, offering access to its superconducting processors via the Cirq framework.

Like Rigetti, Google Quantum AI employs superconducting qubit technology and provides cloud access for quantum computing. Google is known for its quantum supremacy achievement and strong emphasis on quantum machine learning, often seen as a direct competitor in advancing quantum hardware and AI applications.

3
Quantinuum↗

Quantinuum offers a full-stack quantum computing solution built on trapped-ion technology, known for high fidelity and error correction, with a strong focus on quantum AI.

Quantinuum differs from Rigetti by using trapped-ion qubits, which are noted for higher gate fidelity and error correction compared to Rigetti's superconducting approach. Both companies offer full-stack solutions and emphasize AI applications, but Quantinuum's hardware architecture provides a distinct alternative in terms of performance characteristics.

4
IonQOn Stork

IonQ develops trapped-ion quantum computers that operate at room temperature and are recognized for achieving high accuracy and gate fidelity.

IonQ stands apart from Rigetti due to its trapped-ion technology, which offers advantages in accuracy and does not require the same extreme cryogenic cooling as Rigetti's superconducting systems, potentially leading to different cost structures and operational benefits. Both provide cloud access to their quantum hardware for various applications.

5
D-Wave SystemsOn Stork

D-Wave specializes in annealing quantum computing, which is particularly suited for optimization problems and quantum AI solutions.

While Rigetti focuses on universal gate-based quantum computing, D-Wave's annealing approach targets a specific class of problems, primarily optimization. Both offer cloud access to their quantum systems and are exploring quantum AI, but their underlying hardware and computational paradigms are fundamentally different.

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