SPINQ SQC Superconducting Quantum Computer | Practical quantum computing physics platform

Advantages

Long Qubit Lifetime & High-fidelity Gates

SPINQ superconducting quantum computers support various chips, including 20 high-fidelity qubits, ideal for complex tasks in quantum chemistry, materials science, and quantum finance, enabling advanced research and commercial applications.

High-speed Gate Operation

While superconducting qubits have shorter lifetimes, our system compensates with ultra-fast logic gates, achieving higher CLOPS (circuit layer operations per second). Gate times in the tens of nanoseconds—less than one-thousandth of the qubit lifetime—enable advanced quantum algorithms.

Comprehensive, Integrated Service

We prioritize user needs with full-service support, including consultation, installation, and lifelong maintenance. Our approach covers the selection and installation of quantum chips, measurement and control systems, dilution refrigerators, accessories, and the SpinQit programming framework.

Superior Quality, Outstanding Value

Utilizing our in-house production line to standardize and mass-produce quantum chips, along with our internally developed control systems, we’ve significantly enhanced the quality and cost-effectiveness of our quantum computers, earning recognition in China and globally.

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

Components of Superconducting Quantum Computing

Developed by SpinQ, our superconducting quantum computing system integrates QPU EDA, superconducting chips, cryogenic systems, quantum measurement and control systems, operating systems, algorithms, and software, delivering a fully integrated solution for superconducting quantum chips.

1 SPINQ EDA

2 SPINQ QPU

3 Milli-Kelvin Cryogenic System

4 SPINQ QCM System

5 Software

Tech Specs

Number of qubits

Single-qubit gate fidelity

99.9%

Two-qubit gate fidelity

98%

Average decoherence time T1

30 μs

Floor space

25m²

Overall weigh

1500 kg

Equipment height

3.0m

Average power consumption

20 kW

Subject to actual user requirements and installations

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.

SPINQ SQCSuperconducting Quantum Computer