Home > Solutions: Biomedical-based Solution

Biomedical-based Solution

Applications of quantum computing in the biomedical field include gene sequencing, drug discovery, and disease modeling. We can use quantum computers to simulate complex chemical structures at the molecular level, which can also help predict the interactions of new drugs with organisms and speed up the development of new drugs.In addition, quantum computing can also process and analyse genetic data more efficiently, providing more possibilities for diagnosis and treatment. Overall, quantum computing in the biomedical field can improve R&D efficiency, reduce costs, and in the future help achieve the goal of personalised medicine.

Use Cases

BGI Research

Cracking the Genome Assembly Challenge Using VQE Algorithms

BGI Research and SpinQ have launched an in-depth collaboration to explore the application of quantum computing in life sciences. The use of quantum algorithms for genome assembly not only well solves the thorny problem of genome assembly, but also allows the use of fewer quantum resources to simulate larger quantum systems.

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

Related Products

SPINQ SQC Superconducting Quantum Computer

It leverages circuits with Josephson junctions, where qubits are formed by macroscopic quantum effects. This method offers scalable qubit numbers, high gate fidelity, and controllable multi-qubit coupling, making it the most rapidly advancing and industrialized quantum computing technology.

SpinQit Quantum Computing Programming Framework

It supports quantum programming based on Python, provides users with rich quantum algorithm interfaces, supports cross-platform execution, realizes connection with quantum computers, quantum simulators, and the SpinQ cloud platform, and provides new, flexible, and efficient software tools for developers or scientific research enthusiasts.