SPINQ SQCSuperconducting Quantum Computer

103 Qubits

The All-New Architecture

Parametric Gates

Quantum Error Correction

Developed by SpinQ, the SQC S Series embodies next-generation superconducting quantum computing. With long coherence times, high fidelity, and support for quantum error correction and parametric gates, we provide a scalable and reliable foundation for advanced quantum research and industrial applications. The platform supports up to 103 superconducting qubits, enabling breakthroughs in biopharmaceuticals, materials science, FinTech, and AI. Designed for both academic innovation and industrial deployment, SpinQ’s S Series accelerates the path toward practical quantum advantage.

Advantages

Exceptional Coherence Time and Fidelity

Users can flexibly configure superconducting quantum chips with tailored performance specifications. Leveraging SpinQ’s advanced circuit design and material platform, the system achieves outstanding qubit lifetimes and high operational fidelity, enabling it to tackle complex tasks in quantum chemistry, materials science, and financial technology. This provides researchers and industry innovators with reliable computational power for exploring the unknown and driving innovation.

High-Speed Gate Operations

Built upon a high-fidelity qubit architecture, the S Series delivers ultra-fast quantum gate operations, achieving remarkable CLOPS (circuit layer operations per second) performance. The combination of extremely short gate durations and exceptional gate uniformity allows complex quantum algorithms to execute efficiently with lower error rates and shallower circuit depths, marking a significant leap toward high-performance universal quantum computing.

High Integration and Turnkey Service

SpinQ provides a turnkey integrated service system — covering the entire lifecycle from quantum chips, control electronics, and dilution refrigeration to the SpinQit quantum programming framework, system deployment, and performance optimization. Through deep integration of hardware, software, and services, SpinQ delivers ready-to-use superconducting quantum computing solutions for research institutions and industry users worldwide.

High Quality and Cost Efficiency

With an in-house superconducting chip fabrication line and a standardized mass-production system, SpinQ achieves a unique balance between system performance optimization and cost efficiency. Combining exceptional value with consistent delivery quality, the SpinQ SQC S Series superconducting quantum computer has earned broad recognition from leading research institutions and industrial partners around the world.

We are dedicated to offering you professional pre-sales purchase consultation services, as well as comprehensive post-sale technical support.

SPINQ SQC System Architecture

SpinQ has developed a comprehensive superconducting quantum computing ecosystem that spans the entire stack — from quantum chip EDA design and chip fabrication to ultra-low‑temperature refrigeration, quantum control, and software frameworks. By integrating hardware and software, SpinQ delivers turnkey quantum computing solutions that offer high reliability, stability, and seamless scalability — covering everything from chip design to full system deployment.

1 SPINQ EDA

2 SPINQ QPU

3 Milli-Kelvin
Cryogenic System

4 SPINQ
QCM System

5 Software

Tech Specs

	S25	S25 Pro
Qubits	25 Qubits
T₁	≥30 μs	≥60 μs
T₂	≥15 μs	≥30 μs
Single-Qubit Gate Fidelity	≥99.5% (Med.) ≥99.9% (Max.)	≥99.8% (Med.) ≥99.9% (Max.)
Two-Qubit Gate Fidelity	≥96% (Med.) ≥99% (Max.)	≥98% (Med.) ≥99% (Max.)
Readout Fidelity	≥96% (Med.)	≥97% (Med.)
Qubit Type	Fixed Frequency
Coupling Method	Tunable Couplers
Qubit Topology	5*5 2D Lattice
QEC	Supports d=3 Surface Code
※ We offer customized superconducting quantum computing solutions ranging from 5 to 25 qubits, flexibly tailored to meet your specific research or application needs.

Applications

Quantum Finance

Quantum computing offers broad fintech applications, including portfolio optimization, risk management, and predictive modeling. By leveraging its parallelism, investors can optimize portfolios more efficiently, increasing returns while reducing risk. It also accelerates complex system modeling, crucial for market analysis, credit rating, and fraud detection. Quantum computing enhances financial operations and enables more accurate predictions and better decisions.

Quantum Chemistry

Quantum computing is set to transform biomedicine, with applications in gene sequencing, drug discovery, and disease modeling. It can simulate complex chemical structures and predict drug interactions at the molecular level, speeding up development. Quantum computing also enables faster genetic data analysis, opening new possibilities for diagnosis and treatment. Ultimately, it can boost research efficiency, lower costs, and advance personalized medicine.

Logistics and Supply Chain

The optimization problems of large and complex logistics systems and supply chain networks are often difficult to solve with classical computing. Quantum computers, leveraging unique properties of quantum optimization, can perform well in complex optimization problems such as finding the shortest logistics paths and task allocation. Quatum Quantum computing can identify better solutions in complex systems (like large logistics networks), which maximizes resource utilization and reduces task delays.

Biomedicine

Compared to the exponential growth in computational complexity seen in classical computing, quantum computing can achieve more precise drug simulation and analysis with polynomial-level complexity. This helps predict interactions between newly discovered drugs and biological systems. The quantum-computing-based drug R&D process has the potential to revolutionize traditional drug development workflows. Additionally, quantum computing can more efficiently process and analyze genetic data, enhancing disease diagnosis, prediction, and prevention.

Manufacturing

Manufacturers often need to select different types of components to meet the functional requirements of a specific product, such as a car. However, these components may have mutual dependencies or constraints, leading to complex challenges in finding feasible solutions. Quantum search algorithms are particularly effective for addressing these complex optimization problems, helping manufacturers identify optimal component selections while satisfying all constraints.

Artificial Intelligence

Quantum computing, with its unparalleled parallel processing capabilities, plays an important role in some specific scenarios in the field of artificial intelligence to meet complex heterogeneous computing needs.The parallel nature of quantum computers greatly enhances the efficiency of quantum neural network training and optimization, enabling faster and more accurate solutions to complex models. This also improves the efficiency of tasks such as natural language processing and speech and image recognition.

Quantum Machine Learning

Quantum machine learning is an emerging field that leverages the advantages of quantum computing to enhance traditional artificial intelligence. By optimizing traditional machine learning algorithms, quantum machine learning can be effectively applied in popular areas such as computer vision, pattern recognition, natural language processing, reinforcement learning, and content recommendation systems. This approach can significantly boost the performance and efficiency of these algorithms.

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