Top 11 Quantum as a Service Companies to Watch in 2025

What Is Quantum as a Service (QaaS)?

Quantum as a Service refers to the delivery of quantum computing resources via the cloud. Rather than owning expensive and complex physical quantum hardware, businesses can run quantum algorithms and simulations remotely, using cloud infrastructure provided by QaaS vendors.

Key benefits include:

• On-demand access to quantum resources
• Cost-effective entry into quantum experimentation
• Scalability across industries like finance, healthcare, AI, logistics, and more

This model democratizes access to quantum computing, accelerating innovation in areas such as optimization, machine learning, and cryptography.

 

Here are the 11 most influential quantum computing companies offering QaaS platforms in 2025.

 

#1 IBM Quantum

IBM is one of the most established names in the Quantum as a Service (QaaS) space. Its cloud-based service offering is centered on the IBM Quantum Platform (previously known as IBM Quantum Experience)—a unified, user-friendly gateway for accessing IBM's quantum systems and tools online.

 

What is IBM Quantum Platform?

The IBM Quantum Platform is a comprehensive cloud service that enables users worldwide to:

• Access real quantum hardware and high-performance quantum simulators
• Develop and run quantum programs using open-source tools like Qiskit
• Collaborate and share results within a global quantum computing community

IBM offers both free public access and premium paid access through this platform, making it suitable for everyone from beginners to enterprise users.

 

Features of IBM Quantum Platform:

• Over 20 quantum systems available, including advanced processors like Eagle and Heron
• Integrated Qiskit Runtime for faster quantum program execution
• Seamless support for Jupyter notebooks, quantum circuits, and algorithm libraries
• Real-time performance metrics and live queue monitoring
• Developer tools with APIs, documentation, and code samples
• Scalable access for commercial, academic, and research use

 

Why IBM Quantum Platform Stands Out:

• One of the largest fleets of superconducting quantum processors online
• A robust, production-grade platform—not just experimental access
• Clear roadmap toward fault-tolerant quantum computing
• Extensive educational resources and a thriving open-source community

 

 

#2 Amazon Web Services (AWS)

Amazon Braket is Amazon Web Services' (AWS) fully managed Quantum as a Service (QaaS) platform that brings quantum computing to developers, scientists, and enterprises via the cloud.

Braket offers a unified environment for building, testing, and running quantum algorithms on real quantum hardware and high-performance simulators.

 

Key Features of Amazon Braket

1. Access to multiple quantum hardware providers: Braket offers hardware access from leading quantum device makers, including:

• IonQ (trapped-ion)
• Rigetti (superconducting qubits)
• Oxford Quantum Circuits (OQC) (superconducting qubits in the UK)
• QuEra (neutral atoms)

2. Hybrid workflows: With Braket Hybrid Jobs, users can run hybrid quantum-classical algorithms seamlessly using managed classical compute resources, reducing overhead and improving performance.

3. Integrated quantum simulators: Braket provides built-in simulators like the SV1 (state vector simulator), TN1 (tensor network simulator), and DM1 (density matrix simulator), making it easy to test algorithms before deploying to real quantum hardware.

4. Development tools and SDK: Amazon Braket includes a Python SDK that integrates with Jupyter notebooks, making it intuitive to:

• Design quantum circuits
• Submit tasks
• Visualize results
• Monitor execution status and usage metrics

5. Fully managed infrastructure: As a part of AWS, Braket integrates with other AWS services such as Amazon S3, Amazon CloudWatch, and AWS Identity and Access Management (IAM), ensuring a secure and scalable environment for enterprise-grade workloads.

 

Why Amazon Braket Stands Out

• Device-agnostic access to multiple quantum hardware types
• Hybrid algorithm support for NISQ-era applications
• Deep integration with the AWS ecosystem
• Pay-as-you-go pricing—no upfront investment in quantum hardware

 

 

#3 SpinQ

SpinQ is a rising force in the Quantum as a Service (QaaS) space. Its platform, SpinQ Cloud, is a powerful quantum computing cloud service that connects users to a variety of real quantum computers and high-performance simulators. SpinQ offers both public and private cloud-based access to quantum processors and simulation environments.

• Natural Language Processing (NLP)
• Automotive Design and Assembly Analysis
• Inspection Route Optimization in Manufacturing

 

SpinQit: Quantum Programming Framework

To simplify development, SpinQ offers SpinQit, a Python-based quantum programming framework. It provides:

• Rich quantum algorithm libraries
• Cross-platform execution support
• Seamless integration with quantum hardware, simulators, and SpinQ Cloud Platform
• A flexible toolkit for researchers, developers, and educators

Whether building from scratch or customizing applications, SpinQit enables scalable quantum program development in a modern and user-friendly environment.

• Fully customizable and self-hosted
• Independent of third-party public cloud providers
• Optimized for security, flexibility, and full control over data and workloads

Organizations can deploy and scale their own quantum infrastructure while enjoying the benefits of SpinQ's platform and technical support.

 

 

#4 Microsoft Quantum

Microsoft Azure Quantum is a full-stack, cloud-based Quantum as a Service (QaaS) platform that seamlessly integrates quantum computing hardware, software, development tools, and hybrid classical-quantum workflows.

Azure Quantum delivers an open and interoperable ecosystem that supports both quantum and classical computing resources.

 

Key Features of Azure Quantum

1. Access to Multiple Quantum Hardware Providers: Azure Quantum offers seamless access to diverse quantum devices, including:

• IonQ (trapped-ion)
• Quantinuum (trapped-ion and topological)
• Rigetti (superconducting)
• QCI and Pasqal (emerging quantum processors)

 

2. Integrated Quantum Simulators Users can run and test quantum programs on state vector simulators, resource estimators, and other classical tools before deploying to real quantum hardware—ideal for prototyping and algorithm refinement.

 

3. Open and Flexible Development Framework Azure Quantum supports both:

• Q#: Microsoft's domain-specific quantum programming language
• Python: Integration with open-source libraries and Jupyter Notebooks
• Compatibility with Qiskit, Cirq, and OpenQASM, fostering interoperability

 

4. Hybrid Quantum-Classical Workflows Through Azure's cloud-native infrastructure, users can develop hybrid quantum-classical applications and leverage powerful classical compute alongside quantum resources for better performance and scalability.

 

5. Enterprise-Ready Security and Compliance Built on the trusted Azure cloud foundation, Azure Quantum ensures:

• Role-based access control (RBAC)
• Integration with Azure Active Directory
• Compliance with enterprise-grade security standards

 

 

#5 IonQ

IonQ is a pioneer in trapped-ion quantum computing and a leading provider in the Quantum as a Service (QaaS) market. Through its IonQ Quantum Cloud, users can access IonQ's high-fidelity trapped-ion quantum hardware directly or through major cloud providers like Amazon Braket, Microsoft Azure Quantum, and Google Quantum AI Cloud.

 

Key Features of IonQ Quantum Cloud

1. Trapped-Ion Technology Advantage: IonQ's hardware is based on trapped-ion architecture, which offers:

• Longer coherence times
• High gate fidelity
• All-to-all qubit connectivity

2. Multiple Access Pathways: Users can run quantum circuits on IonQ hardware through:

• IonQ's native cloud interface
• Amazon Braket
• Microsoft Azure Quantum
• Google Quantum AI Cloud

3. Scalable and Real-Time Execution: IonQ Quantum Cloud allows real-time execution of quantum tasks with:

• Flexible job queues
• Scalable compute resources
• Immediate access to both quantum hardware and simulators

4. Developer-Friendly Tools: IonQ supports industry-standard languages and SDKs, including:

• Qiskit, Cirq, and OpenQASM
• Python APIs and REST endpoints for integration with classical infrastructure

Developers can easily write, test, and deploy quantum algorithms using familiar tools.

 

 

#6 Quantinuum

Born from a merger between Honeywell Quantum and Cambridge Quantum, Quantinuum is a leading full-stack quantum computing company offering one of the most advanced Quantum as a Service (QaaS) platforms through Nexus.

Combining cutting-edge trapped-ion quantum hardware with a powerful software ecosystem and enterprise-grade cybersecurity solutions, Quantinuum delivers a truly comprehensive quantum platform.

 

Quantinuum Nexus: Integrated Quantum Computing in the Cloud

Nexus is Quantinuum's cloud-based platform that enables users to develop, test, and deploy quantum algorithms and collaborate on quantum computing projects with ease. Designed for researchers, developers, and enterprises, it provides:

• Access to H-Series Quantum Hardware: Including high-fidelity trapped-ion systems like H1 and H2, known for long coherence times and precise gate operations.
• Simulators and Emulators: For those who wish to prototype algorithms without consuming hardware time.
• Preconfigured JupyterHub Environment: Supporting collaborative development in the cloud.
• Software Tools Integration: Native access to InQuanto for quantum chemistry and TKET, a hardware-agnostic quantum compiler.
• Multi-backend Interoperability: Seamless integration with other platforms like IBM Quantum, Amazon Braket, and Qiskit Aer.
• Built-in Experiment Tracking and Admin Tools: Ensuring reproducibility, version control, and resource monitoring.

Nexus empowers organizations to accelerate quantum research and real-world applications, from molecular modeling to optimization problems.

 

Quantum Origin and Quantum Key Distribution (QKD)

Beyond quantum computing, Quantinuum is a global leader in quantum cybersecurity through its groundbreaking Quantum Origin service—the world's first commercial platform delivering cryptographic keys generated by a quantum computer.

Key highlights include:

• Quantum-Enhanced Security: Quantum Origin uses the intrinsic randomness of quantum processes to generate entropy-rich, unpredictable encryption keys, which are more secure than classical random number generators.
• Post-Quantum Cryptography: Designed to protect against future quantum attacks, ensuring organizations are quantum-safe today.
• Integration with QKD Protocols: As part of its broader quantum cybersecurity strategy, Quantinuum also supports Quantum Key Distribution (QKD), enabling secure transmission of encryption keys over untrusted networks.
• Enterprise Use Cases: From secure government communications to financial services, cloud security, and critical infrastructure protection.

 

 

#7 Xanadu

Xanadu is a Canadian quantum computing company pioneering photonic quantum computing and offering Quantum as a Service (QaaS) through its cloud platform. By leveraging light particles (photons) instead of traditional qubits, Xanadu aims to build scalable and fault-tolerant quantum computers accessible to users worldwide.

 

Key Features of Xanadu's QaaS Platform

1. Photonic Quantum Hardware: Xanadu's quantum processors utilize squeezed-light pulses to encode information, enabling operations at room temperature and integration with existing fiber-optic infrastructure.

2. Borealis Quantum Computer: Borealis is Xanadu's flagship photonic quantum processor, featuring a programmable loop-based interferometer with over 216 squeezed-state qubits. It has demonstrated quantum computational advantage and was the first photonic quantum hardware accessible via the cloud.

3. Open-Source Software Tools: Xanadu develops and maintains several open-source libraries, including:

• PennyLane: A Python library for quantum machine learning and differentiable programming, allowing seamless integration with machine learning frameworks like TensorFlow and PyTorch.
• Strawberry Fields: A platform for designing, simulating, and optimizing photonic quantum circuits.

4. Cloud Access and Integration: Users can access Xanadu's quantum devices through its cloud platform, enabling the execution of quantum circuits and algorithms remotely.

 

Real-World Applications

Xanadu's QaaS offerings are designed for a range of applications, including:

• Quantum Machine Learning: Leveraging photonic processors for advanced machine learning tasks.
• Optimization Problems: Solving complex optimization challenges in logistics, finance, and other industries.
• Quantum Chemistry: Modeling molecular structures and reactions for drug discovery and materials science.

 

 

#8 D-Wave Quantum

D-Wave offers a distinctive approach to quantum computing through its Leap™ Quantum Cloud Service, providing real-time access to quantum annealing hardware and hybrid solvers tailored for solving complex optimization problems at scale.

Key Features of D-Wave Leap™: Quantum Annealing in the Cloud

• Advantage™ Quantum Processor: Leap™ grants users immediate access to D-Wave's Advantage™ system, a quantum annealer featuring over 5,000 qubits and 15-way qubit connectivity, designed to tackle intricate optimization challenges.
• Hybrid Solver Services: The platform includes a suite of hybrid solvers capable of handling problems with up to two million variables and constraints, seamlessly integrating quantum and classical computing resources to address large-scale, real-world applications.
• Ocean™ SDK: D-Wave provides the Ocean™ software development kit, an open-source suite of Python tools that facilitates the formulation and submission of problems to the quantum system, streamlining the development of quantum applications.
• Integrated Developer Environment: Leap™ offers a web-based IDE equipped with preloaded examples, documentation, and visualization tools, enabling developers to prototype and deploy quantum applications efficiently.

 

Real-World Applications

D-Wave's quantum annealing technology has been applied across various industries, including:

• Logistics and Supply Chain: Optimizing delivery routes and inventory management.
• Manufacturing: Enhancing production scheduling and resource allocation.
• Finance: Portfolio optimization and risk assessment.
• Healthcare: Drug discovery and molecular modeling.

These applications demonstrate the practical utility of quantum annealing in solving complex, combinatorial problems.

 

 

#9 Google Quantum AI

Google Quantum AI offers a research-oriented model of Quantum as a Service (QaaS), distinct from more commercially available platforms like AWS Braket or Microsoft Azure Quantum.

Its QaaS offering is primarily enabled through Cirq, an open-source quantum programming framework. Cirq allows users to design and execute quantum circuits on Google's powerful quantum processors, facilitating the development and testing of cutting-edge quantum algorithms.

 

What Is Cirq?

Cirq is an open-source Python library developed by Google to help researchers design, simulate, and run quantum circuits on NISQ (Noisy Intermediate-Scale Quantum) devices. Cirq provides granular control over gate operations, timing, and hardware-specific optimizations, making it ideal for developing quantum algorithms tailored to Google's hardware.

Cloud Access to Quantum Hardware

Through selective research programs and collaborations, Google offers cloud-based access to its superconducting quantum processors—like those used in its historic quantum supremacy experiment. Users can write quantum circuits using Cirq, simulate them using qsim (Google's high-performance simulator), and, in approved cases, deploy them directly to Google's physical quantum hardware.

Research-First Approach

Unlike commercial QaaS platforms such as AWS Braket or Azure Quantum, Google Quantum AI currently focuses on academic and experimental use cases. Its goal is to foster a deep understanding of quantum algorithms and hardware capabilities, making it a vital part of the global quantum research ecosystem.

Ecosystem and Tooling

• Cirq + qsim: Write and simulate circuits at scale.
• OpenFermion: Quantum simulation tools for chemistry and materials science.
• TensorFlow Quantum: Integration of quantum circuits with machine learning workflows.

 

 

#10 Terra Quantum

Terra Quantum is a leading quantum technology company based in Germany and Switzerland, offering a comprehensive Quantum as a Service (QaaS) platform across three core areas: quantum algorithms, quantum computing infrastructure, and quantum security.

Quantum Algorithms

Terra Quantum provides a hardware-agnostic library of hybrid quantum algorithms, focusing on key application areas such as optimization, simulation, and machine learning. These algorithms are designed to tackle complex problems in industries like finance, manufacturing, and energy.

With this platform, clients can leverage quantum-enhanced performance without requiring deep expertise in quantum physics.

Quantum Computing

The company offers access to its high-performance simulated quantum processing units (QPUs) as well as multiple physical QPUs, allowing clients to run applications in a hybrid quantum cloud environment.

Terra Quantum's platform features a modern, scalable architecture designed to meet demanding standards for access control, encryption, data transmission, and ownership security.

Quantum Security

To address the threats quantum computing poses to conventional encryption, Terra Quantum delivers quantum-secure communication and data protection solutions, including quantum key distribution (QKD) and post-quantum encryption protocols.

Its Terra Quantum Secure Network (TQSN) set a world record in 2023 for quantum-encrypted communication over fiber optics, underscoring its leadership in the quantum security space.

TQ42 Platform: Enterprise-Grade Quantum Solutions

The company's flagship product, TQ42, is an innovative Quantum as a Service platform designed for enterprises. It enables organizations to build, fine-tune, run, and deploy solutions in machine learning, optimization, and simulation.

TQ42 offers access to both high-performance classical and quantum resources—including CPUs, GPUs, QPU simulators, and physical QPUs—through a hybrid quantum cloud.

 

 

#11 QC Ware

QC Ware is a quantum computing software company. Forge is its flagship cloud-based Quantum as a Service platform designed to provide enterprise users and researchers with access to quantum computing capabilities.

 

What Forge offers:

• Turnkey Quantum Algorithms: Pre-built implementations for tasks such as binary optimization, machine learning (including classification, regression, and clustering), linear algebra operations (like matrix multiplication and distance estimation), and Monte Carlo simulations.
• Hybrid Quantum-Classical Workflows: Seamless integration of quantum algorithms with classical computing resources, enabling users to tackle complex problems using a hybrid approach.
• Access to Multiple Quantum Backends: Forge connects to various quantum hardware providers, including D-Wave, IonQ, and Rigetti, through platforms like Amazon Braket, as well as simulators from IBM and Google.
• User-Friendly Interface: Designed for data scientists and engineers, Forge offers an intuitive interface and Python APIs, allowing users to run quantum algorithms without needing to write quantum circuits from scratch.

 

Key Features of QC Ware Forge

• Quantum Approximate Optimization Algorithm (QAOA): Implementations for solving combinatorial optimization problems.
• Quantum Machine Learning: Algorithms for supervised and unsupervised learning tasks, such as q-means clustering and quantum nearest neighbors.
• Linear Algebra Operations: Quantum algorithms for tasks like matrix multiplication and distance estimation.
• Monte Carlo Simulations: Quantum-enhanced methods for financial risk analysis, including Value at Risk (VaR) and Conditional Value at Risk (CVaR) calculations.
• Data Loaders: Tools to efficiently load classical data into quantum states, facilitating the use of quantum algorithms on real-world datasets.