Quantum Computing: Revolutionizing the Medical Sector
The current decade, often referred to as the “quantum decade,” marks a pivotal era where ever-improving quantum computers are poised to revolutionize numerous fields, with the medical sector being a prominent example. This transformative technology, rooted in principles that emerged from Erwin Schrödinger’s 1935 thought experiment involving a hypothetical cat that could be both alive and dead simultaneously, has paved the way for the development of quantum mechanics and inspired further research, particularly in biological sciences.
Quantum computing represents a “quantum leap in computation”, offering computational power far beyond classical systems. For instance, a task that would take 10,000 years on a classical supercomputer was completed in just 200 seconds by Google’s 54-qubit machine. This immense processing speed means that calculations performed by a quantum computer in one second could take 47 years on the most powerful classical computer today. Recognizing this potential, major companies such as Google, Microsoft, and IBM are investing billions into quantum research.
In the medical sector, the anticipated benefits are vast and diverse. Quantum computing is expected to significantly improve areas including efficient patient care, reduced clinical trial durations, and enhanced imaging technologies. Key applications highlighted include:
- Drug Discovery and Development: Quantum computers can simulate complex molecular and chemical reactions with high precision, aiding in understanding protein folding and drug-target interactions, which is crucial for discovering new drugs. They enable efficient simulation of molecular interactions and genetic variations at unprecedented scales.
- Personalized Medicine: Quantum techniques can process vast genomic datasets much faster, facilitating tailor-made treatments for patients.
- Medical Imaging and Diagnosis: Quantum algorithms can improve and streamline medical imaging, allowing for earlier diagnosis of conditions. The integration of quantum computing with machine learning has already shown promising results in disease prediction and diagnostics, even outperforming classical models in tasks like COVID-19 diagnosis.
- Data Protection and Security: Quantum computing is crucial for patient privacy and information security. With healthcare records increasing rapidly and the threat of “harvest and decrypt” strategies by attackers, post-quantum cryptography is emerging as a critical research area to mitigate quantum attacks on medical data.
- Disease Modeling: Quantum computing is poised to revolutionize disease modeling and prediction due to its superior computational power. Virtual models like digital twins, which can represent patients or organs in real-time, can significantly enhance the precision of simulations for complex biological systems when combined with quantum computing.
Despite its theoretical promise, quantum computing for widespread commercial application in biomedicine is still in its infancy, with significant advancements expected to take at least a decade or more. Several challenges must be addressed for its full potential to be realized, including:
- Quantum Decoherence: Qubits are delicate and lose their quantum properties when interacting with the environment, posing a significant limiting factor.
- High Cost: A 50-qubit machine can cost approximately $10 million, with an additional $1 million annually for maintenance, making it largely inaccessible. The energy demands and infrastructure for maintaining quantum systems at extremely low temperatures (–273.15 °C) also add to the expense.
- Error Correction and Scalability: Increasing the number of qubits for greater computational power is complex, as errors rise with more qubits due to imperfections and environmental noise. Robust error correction schemes are necessary.
- Lack of Expertise: The field currently faces a shortage of expertise, requiring significant investment in education, training, and skill development.
Addressing these complex challenges will require strong partnerships and collaborations among academia, industry, and governments.
Reference for this article:
Alrashed, S., & Min-Allah, N. (2025). Quantum computing research in medical sciences. Informatics in Medicine Unlocked, 52, 101606. https://doi.org/10.1016/j.imu.2024.101606
