Quantum-Machine-Learning

Amazon Braket - Quantum Cloud Services Company Profile | Quantum Navigator

Amazon Braket

In 2024-2025, Amazon Braket expanded significantly through partnerships and hardware additions. NVIDIA and AWS announced a collaboration to advance quantum computing research by integrating NVIDIA’s quantum-classical computing platform, NVIDIA CUDA-Q, with Amazon Braket, allowing researchers to leverage hybrid quantum-classical workflows. IQM Quantum Computers made its 20-qubit quantum processing unit, IQM Garnet, available through Amazon Braket in the AWS Europe (Stockholm) Region, marking the first quantum processing unit available to AWS customers within the European Union in a self-service, on-demand model. IonQ announced continued collaboration with AWS, making IonQ’s Forte system (delivering 36 algorithmic qubits) available on Amazon Braket. Amazon Braket continues to provide access to multiple quantum hardware providers including QuEra’s 256-qubit Aquila neutral atom system, supporting the AQC25 conference bringing together stakeholders from MIT, Yale, USC, Google Quantum AI, and others.

Argonne National Laboratory - Quantum Computing Company Profile | Quantum Navigator

Argonne National Laboratory

Argonne National Laboratory is a USA national laboratory founded July 1, 1946, located in Lemont, Illinois, operated by University of Chicago for United States Department of Energy. Argonne pursues research spanning theory, algorithms, simulations, and modeling of quantum systems leveraging supercomputing resources and multi-qubit hardware platforms. The laboratory operates quantum computing testbeds integrating quantum processors with high-performance computing infrastructure enabling hybrid quantum-classical algorithms. Argonne conducts quantum computing research across superconducting qubits, quantum algorithms, quantum networking, and quantum simulation applications. The laboratory is one of five DOE National Quantum Information Science Research Centers with over 1,500 experts collaborating across quantum research initiatives. Argonne serves scientific research community, government agencies, and industry partners requiring quantum computing applications in chemistry, materials science, optimization, and machine learning advancing quantum computational advantage for national security and energy applications.

Atom Computing - Quantum Computing Company Profile | Quantum Navigator

Atom Computing

In 2024-2025, Atom Computing became the first company to cross the 1,000-qubit threshold for a universal gate-based quantum system, creating a 1,225-site atomic array populated with 1,180 qubits in its next-generation neutral atom quantum computing platform. Atom Computing was recognized by Fast Company as one of the world’s most innovative companies in 2025 for its advancements in neutral atom quantum computing. In a major milestone, Microsoft and Atom Computing achieved record-breaking quantum entanglement by creating and entangling 24 logical qubits on a commercial quantum machine, and also used 28 logical qubits to perform successful computations based on the Bernstein-Vazirani algorithm, producing more accurate solutions than the corresponding computation based on physical qubits. These achievements demonstrate Atom Computing’s leadership in neutral atom technology and logical qubit operations.

AWS - Quantum Computing Company Profile | Quantum Navigator

AWS

Amazon Web Services (AWS) provides Amazon Braket, a fully managed quantum computing service enabling researchers and developers to explore, evaluate, and experiment with quantum computing. Launched in 2019 and generally available in 2020, Amazon Braket offers access to quantum hardware from multiple providers including Rigetti’s 84-qubit Ankaa-2 processor (integrated 2024), IonQ, D-Wave, and Oxford Quantum Circuits. Amazon Braket hybrid jobs allow developers to execute hybrid quantum-classical algorithms combining quantum and classical computing resources. The service includes quantum circuit simulators, algorithm libraries, and development tools. AWS operates quantum computing through its cloud infrastructure, enabling customers to access quantum processors without managing physical hardware. Amazon Braket serves researchers, developers, and enterprises exploring quantum applications in optimization, machine learning, and scientific simulation.

Classiq - Quantum Computing Company Profile | Quantum Navigator

Classiq

Classiq has revolutionized quantum software development with its groundbreaking platform that automatically synthesizes high-level functional models into optimized quantum circuits. Founded in 2020 by Nir Minerbi, Yehuda Naveh, and Amir Naveh, the company addresses one of quantum computing’s biggest challenges: translating complex algorithms into efficient quantum circuits. Classiq’s platform uses advanced synthesis algorithms to automatically generate, optimize, and analyze quantum circuits, dramatically reducing development time from months to days. The platform supports multiple quantum hardware backends and integrates with existing quantum development frameworks, enabling developers to focus on algorithm logic rather than low-level circuit optimization. In May 2025, Classiq raised $110 million in Series C funding, the largest ever for a quantum software company. In October 2025, Classiq was named to Fast Company’s annual Next Big Things in Tech list in the Computing, Chips and Foundational Technology category for transforming how organizations produce software for quantum computers, with Classiq technology being used by dozens of global enterprises and at over 400 universities. In October 2025, Comcast launched a quantum lab and began trials using quantum computing to improve broadband network management, partnering with D-Wave and Classiq to test applications such as traffic optimization and predictive issue resolution. Classiq has secured significant funding and partnerships with quantum hardware companies, cloud providers, and research institutions. Their technology has been adopted by organizations ranging from startups to Fortune 500 companies working on quantum applications in finance, chemistry, optimization, and machine learning. As quantum computers scale toward practical applications, Classiq’s software synthesis approach becomes increasingly critical for unlocking quantum advantage.

IBM Quantum - Enterprise Quantum Computing Company Profile | Quantum Navigator

IBM Quantum

In 2024-2025, IBM Quantum unveiled its 156-qubit Heron processor featuring a new architectural approach emphasizing modularity and error mitigation, achieving 16 times better performance and a 25-fold increase in speed over 2022 systems. At the inaugural IBM Quantum Developer Conference in 2024, IBM achieved accurate computations on circuits with 100 qubits and gate depths of 100 and 5,000 two-qubit gate operations in under a day’s runtime. IBM introduced multi-chip coupling innovations including ’l-couplers’ for linking distant chips via cables and ’m-couplers’ for tightly connecting adjacent chips, demonstrated with IBM Quantum Flamingo connecting two Heron R2 chips, with the production-ready Flamingo system expected in 2025. IBM’s roadmap extends to 2026 with the Kookaburra system demonstrating the first integration of logical qubit processing with quantum memory, and by 2028, the Starling system will operate 200 logical qubits requiring approximately 10,000 physical qubits using IBM’s efficient LDPC codes.

NVIDIA - Quantum Computing Company Profile | Quantum Navigator

NVIDIA

NVIDIA provides quantum computing services and infrastructure through their CUDA Quantum platform and DGX Quantum systems that enable hybrid quantum-classical computing by combining quantum processors with NVIDIA’s GPU-accelerated computing platform, offering quantum simulation capabilities, quantum circuit optimization, and quantum machine learning tools that leverage classical GPU computing to enhance quantum algorithm development and execution across various quantum hardware platforms. In September 2025, NVIDIA announced the establishment of its NVIDIA Advanced Quantum Computing (NVAQC) research center in Boston, Massachusetts, focused on advancing hybrid quantum-classical algorithms, quantum error mitigation techniques, and GPU-accelerated quantum simulation for drug discovery and materials science applications, strengthening NVIDIA’s quantum computing ecosystem partnerships with leading quantum hardware providers.

ORCA Computing - Quantum Computing Company Profile | Quantum Navigator

ORCA Computing

ORCA Computing is a University of Oxford spinout founded in 2019 that develops photonic quantum computers using single photons and linear optical quantum computing, creating quantum systems that can operate at room temperature without requiring complex cryogenic cooling, focusing on near-term quantum applications in optimization and machine learning through their cloud-accessible photonic quantum processors, working to demonstrate quantum advantage in practical applications while building partnerships with enterprises and research institutions seeking photonic quantum computing solutions.

Pasqal - Quantum Computing Company Profile | Quantum Navigator

Pasqal

In June 2024, Pasqal achieved a significant milestone by successfully loading over 1,000 atoms in a single shot, trapping more than 1,110 atoms within approximately 2,000 traps, demonstrating the feasibility of large-scale neutral atom quantum computing. In December 2024, Pasqal deployed a 100-qubit neutral atom quantum computer at the Jülich Supercomputing Centre in Germany as part of the HPCQS project, expected to be available for use by June 2025. On May 13, 2025, Pasqal partnered with Google Cloud to offer its 100-qubit QPU on Google Cloud Marketplace, including tools for workflow integration and post-processing results with a flexible pay-as-you-go model. Pasqal’s roadmap targets 10,000 qubits by 2026, and in April 2024, the company partnered with Welinq to achieve projected 10,000-qubit QPUs with high-fidelity two-qubit gates in the 2026-2027 timeframe. The company is already delivering quantum computers with over 100 qubits to end users.

Q-CTRL - Quantum Computing Company Profile | Quantum Navigator

Q-CTRL

Q-CTRL is a leading quantum technology company specializing in quantum control infrastructure software that makes quantum computing hardware more stable, reliable, and useful. Founded in 2017 by Michael Biercuk, a quantum physicist from the University of Sydney, Q-CTRL has developed a comprehensive suite of quantum firmware and software tools that apply machine learning and control theory to reduce errors in quantum systems. The company’s products include Fire Opal for quantum circuit optimization, Black Opal for quantum computing education, and Boulder Opal for quantum control optimization. Q-CTRL’s technology has been validated on quantum computers from major providers including IBM, Google, and Rigetti, demonstrating significant improvements in quantum algorithm performance through error suppression and noise mitigation. The company serves customers ranging from quantum hardware developers to end-users seeking better quantum computing results. With partnerships across academia, government, and industry, Q-CTRL is positioned as a critical infrastructure provider in the quantum computing stack, helping bridge the gap between today’s noisy quantum devices and tomorrow’s fault-tolerant quantum computers. On September 16, 2025, Q-CTRL announced a strategic partnership with QUCAN Quantum Technologies (QUCAN), merging complementary strengths in quantum control software and hardware to deliver quantum sensing solutions optimized for real-world field deployment, initially targeting defense and aerospace applications. On October 9, 2025, Q-CTRL’s Ironstone Opal, a ruggedized quantum sensor system designed for navigation in GPS-denied environments, was named one of TIME magazine’s Best Inventions of 2025, recognized for its ability to provide precise positioning data where traditional navigation systems fail.

Qruise - Quantum Computing Company Profile | Quantum Navigator

Qruise

Qruise is a German quantum control software company founded in 2018 as a Forschungszentrum Jülich spinoff that develops machine learning-powered software for quantum device development, creating ‘digital twin’ simulators and automated optimization algorithms that replace manual work traditionally done by quantum physicists, with strategic partnerships with Quantum Machines and Zurich Instruments to integrate their ML Physicist software into quantum control systems for automated qubit tune-up, gate optimization, and device characterization across superconducting and Rydberg atom quantum platforms.

QuantumLeap AI - Quantum Computing Company Profile | Quantum Navigator

QuantumLeap AI

QuantumLeap AI develops quantum machine learning software and AI-powered quantum algorithm optimization tools. The company combines quantum computing with classical AI to create hybrid systems for complex data analysis and pattern recognition. QuantumLeap AI’s platform provides tools for quantum neural network development, quantum feature extraction, and quantum-enhanced AI model training. Target applications include drug discovery, materials science, and financial modeling where quantum machine learning can provide advantages. Based in London, QuantumLeap AI collaborates with AI researchers and quantum computing companies. The company focuses on practical quantum machine learning applications deliverable on near-term quantum hardware. QuantumLeap AI offers both software tools and consulting services for quantum AI development.

Rigetti Computing - Quantum Hardware Company Profile | Quantum Navigator

Rigetti Computing

In 2024-2025, Rigetti Computing completed a $350 million at-the-market equity offering during Q2 2025, bolstering the company’s cash position to approximately $575 million with no debt. In December 2024, Rigetti launched its 84-qubit Ankaa-3 quantum processor, achieving record-high fidelity with a 99.0% median iSWAP gate fidelity and 99.5% median fSim gate fidelity. In 2025, Rigetti unveiled Cepheus-1-36Q, a 36-qubit multi-chip quantum computer now generally available, demonstrating a two-fold reduction in two-qubit gate error rate compared to the preceding Ankaa-3 system, achieving a median two-qubit gate fidelity of 99%. The company anticipates releasing a 100+ qubit system, also chiplet-based, with a target median two-qubit gate fidelity of 99.5% before the end of 2025. In collaboration with Riverlane and the National Quantum Computing Centre (NQCC), Rigetti won £3.5 million from Innovate UK to enhance quantum error correction capabilities on superconducting quantum computers.

Xanadu - Photonic Quantum Computing Company Profile | Quantum Navigator

Xanadu

In early 2025, Xanadu demonstrated Aurora, a significant advancement in photonic quantum computing featuring a modular and networked architecture that combines 35 photonic chips networked together via 13 kilometers of fiber optics to perform all essential functions for comprehensive quantum computing. In May 2025, Xanadu partnered with Applied Materials to develop high-volume fabrication processes for superconducting transition edge sensors, with teams planning to demonstrate a 300 mm platform by the end of 2025 to advance photonic quantum computing toward utility-scale applications. In March 2025, Xanadu and Corning partnered to develop low-loss optical fibre interconnects for photonic quantum computing chips, aiming to scale fault-tolerant quantum computers towards one million qubits. In June 2025, Xanadu opened a $10 million advanced photonic packaging facility in Toronto, Canada, to manufacture components for fault-tolerant quantum computers, addressing a critical gap in the Canadian quantum supply chain. In August 2025, Xanadu and HyperLight demonstrated waveguide losses below 2 dB/m in thin-film lithium niobate (TFLN) photonic chips.