Quantum computing in healthcare and life sciences

Quantum computing is no longer a distant concept; it is rapidly becoming a practical tool with the potential to revolutionise the healthcare and life sciences sector. As quantum technology moves from proof-of-concept to real-world applications, it is set to unlock new frontiers in drug discovery, genomics, clinical optimisation and beyond. For healthcare and life sciences organisations, understanding and preparing for this shift is crucial. This article explains what quantum computing is, why it matters for healthcare and life sciences, highlights key applications and industry progress, outlines security and data protection risks, and considers the legal, regulatory and commercial implications and how Simmons & Simmons can help.

What is quantum computing?

Quantum computing harnesses the unique principles of quantum mechanics to process information in fundamentally new ways. Unlike classical computers, which use binary bits (0 or 1), quantum computers use “qubits” that can represent 0, 1, or both simultaneously—a phenomenon known as superposition. Qubits can also be “entangled”, meaning the state of one qubit is intrinsically linked to another, enabling unprecedented parallelism and speed.

This means quantum computers can explore multiple solutions at once, making them exceptionally powerful for solving complex problems that are currently intractable for even the fastest supercomputers. Rather than replacing classical computers, quantum systems will complement them, tackling challenges involving massive complexity, simulation, and optimisation.

Why quantum computing matters for healthcare and life sciences

Quantum is an extremely complex and still-evolving field, not fully understood even by leading scientists. However, its practical implications are already being felt across the legal and commercial landscape for healthcare and life sciences organisations. At Simmons & Simmons, we have an internal quantum group, bringing together experts from across IP, data protection, corporate, employment and regulatory practice areas to help healthcare and life sciences clients navigate this rapidly changing environment.

Understanding the quantum timeline

Not all quantum applications will materialise at the same pace. While some near-term developments - particularly in quantum sensing and hybrid quantum–classical workflows - are already emerging, broader commercial applications in areas such as optimisation and drug discovery are expected to develop over the coming years. More advanced use cases, including large-scale molecular simulation and genomics, will depend on further technological progress and are likely to take longer to realise.

Distinguishing between these horizons can help organisations take a more targeted and strategic approach to investment, experimentation and risk management.

Against this backdrop, quantum is not a question of “if”, but “when” it will impact businesses. We already advise clients across a range of issues, from academic spin-outs and investment to export control and data governance.

Quantum computing in practice: Transformative healthcare and life sciences applications

• Drug discovery and molecular simulation for faster therapeutic development
  Quantum computers excel at simulating molecular interactions, a process central to drug discovery. By modelling complex molecules and protein folding with greater accuracy and speed, quantum computing can accelerate the identification of new therapeutics and vaccines. Industry leaders such as Moderna and IBM are already piloting quantum-classical workflows to fast-track drug development. Other major pharmaceutical companies are also beginning to adopt quantum technologies; for example, Boehringer Ingelheim is collaborating with Google Quantum AI on pharmaceutical research and development, while Roche is exploring quantum machine learning applications in partnership with QC Ware.
• Genomics and personalised medicine for precision healthcare solutions
  Quantum computing offers the ability to process vast genomic datasets, uncovering biomarkers and enabling precision medicine. This could facilitate more targeted therapies and accelerate genome sequencing, leading to greater insights into rare genetic disorders, more rapid tracking of infectious diseases and significant advances in personalised healthcare. Notably, in May 2026, the University of Oxford achieved a “world-first” by successfully loading a complete genome onto a quantum computer, opening new possibilities for tackling computationally challenging health problems such as metagenomics and antimicrobial resistance.
• Optimisation of healthcare delivery for enhanced pattern recognition and efficiency
  Quantum computers are well-suited to managing intricate optimisation tasks, from hospital logistics to clinical trial management. This can streamline operations, improve treatment planning, and enhance drug interaction modelling, ultimately leading to more efficient and effective healthcare delivery.
• AI integration to improve diagnostic imaging and predictive modelling
  Quantum algorithms, when combined with artificial intelligence, can boost diagnostic imaging, predictive modelling and bioinformatics, leading to smarter, faster clinical insights.
• Quantum sensing for earlier and more precise diagnosis
  Quantum sensing technologies are already being applied in healthcare, enabling the detection of extremely faint biological signals. This can facilitate earlier diagnosis of diseases such as cancer or Alzheimer’s.
  In practice, these technologies are being explored across a range of applications, including wearable brain imaging for neurological conditions, quantum-enhanced MRI and imaging techniques, and highly sensitive biosensors capable of detecting disease biomarkers at very low concentrations. Unlike many quantum computing applications, quantum sensing is closer to commercial deployment and may represent an early entry point for quantum technologies in healthcare systems.

Recent progress and industry collaboration driving healthcare and life sciences transformation

Beyond these specific applications, the pace of quantum innovation is accelerating, with eight of the top ten biopharma companies piloting quantum projects. Collaborations with technology providers such as IBM and startups like Algorithmiq are driving practical use cases. Hybrid quantum–classical systems are already bridging capability gaps, enabling calculations previously out of reach.

Community-driven initiatives, such as Welcome Leap’s Q4Bio Challenge, are incentivising quantum research for real-world healthcare applications. Meanwhile, platforms like Cognizant’s new AI-quantum integration are bringing quantum-powered automation and intelligence to clinical workflows and regulatory compliance.

Security and data protection: the “harvest now, decrypt later” risk for health data and devices

As quantum capabilities advance and adoption increases, security and data protection risks are expected to become more acute for healthcare and life sciences organisations.

A critical risk for healthcare and life sciences is the long-term sensitivity of health data. Encrypted data is already being intercepted and stored, with the expectation that future quantum computers will be able to break current encryption methods. This is particularly concerning for genomic and clinical data, which may remain sensitive for decades. Connected medical devices are also vulnerable, as they often rely on encryption systems that may not be updated during their lifecycle. Regulators are responding, with new post-quantum cryptography standards and EU roadmaps requiring transition over the coming years.

This exposure extends across core healthcare infrastructure, including electronic health records, clinical trial data repositories, connected medical devices and secure communications systems.

Healthcare and life sciences organisations should begin preparing now by identifying where sensitive data relies on vulnerable encryption, building “crypto-agility” into systems, reviewing data retention practices and assessing third-party and supplier readiness. Given the long lifespan of health data, this is not only a future issue but a current strategic consideration.

Navigating legal, regulatory and commercial challenges of quantum computing

Delivering this transformation will require coordinated effort, sustained investment, and the ability to navigate significant technical, strategic and regulatory challenges. Integrating quantum computing into the healthcare and life sciences sector also introduces a range of complex legal considerations, alongside the need for forward-looking regulatory frameworks. At Simmons & Simmons, we are uniquely positioned to support clients in navigating this rapidly evolving landscape:

• Product liability: New quantum-powered diagnostics and therapeutics may raise novel liability questions. We advise on risk management and regulatory compliance for emerging technologies.
• Data protection & privacy: Quantum’s ability to process and analyse sensitive health data at scale heightens the importance of robust data governance, GDPR compliance and cybersecurity.
• Intellectual property: Protecting quantum-driven innovations, algorithms and data outputs requires forward-thinking IP strategies.
• Regulatory & compliance: Quantum applications in clinical trials, diagnostics and therapeutics must meet evolving regulatory standards. Our team guides clients through the complex approval landscape.
• Contracting & collaboration: As industry partnerships proliferate, we support clients in structuring, negotiating and managing collaborative agreements with quantum technology providers.
• Ownership and use of data: Collaborations between pharma, tech and quantum companies raise questions about ownership of results, IP rights over quantum-generated outputs, and reliance on proprietary datasets and hybrid AI/quantum models.

The road ahead: Quantum’s impact on healthcare and life sciences

Quantum computing could play a transformative role in tackling some of the most complex challenges in healthcare and pharmaceuticals. It has the potential to significantly reduce the time and cost of R&D, making the rapid development of new therapeutics and vaccines routine. As adoption grows and technology develops, we are likely to see a rise in partnerships between quantum providers and healthcare incumbents, driving multi-disciplinary innovation.

For leadership teams, quantum should not be viewed solely as a future R&D topic. It requires a coordinated approach across innovation, risk management, data strategy and partnerships, particularly as early use cases emerge alongside longer-term transformational potential. Organisations that engage early - especially on data governance and security - will be better positioned as the technology matures.

Quantum’s ability to uncover patterns and insights lost in classical systems could advance personalised medicine, early disease detection and robust clinical decision-support. As quantum computing becomes part of the healthcare technology stack, it will underpin the next wave of life sciences innovation.

Whether you are piloting quantum projects, scaling new solutions or navigating regulatory change, we are here to help you seize the opportunities and manage the risks of quantum innovation. Our cross-disciplinary team is ready to support you in addressing the legal, regulatory, and commercial challenges of this emerging technology.

Contact us to discuss how quantum computing could impact your business and how we can support your journey into the future of healthcare and life sciences.