Harness the power of quantum machine learninG

Unlock a new realm of possibilities for your business with our Quantum Machine Learning services. Our team of experts led by our Chief Science Officer, Laia Domingo, with a PhD in Quantum Machine Learning, is dedicated to guiding you through the cutting-edge intersection of quantum computing and machine learning.

Why QML?

By leveraging the advancements in quantum machine learning, healthcare and pharmaceutical industries can make significant strides in drug discovery, precision medicine, clinical trials, disease detection, personalized treatment plans, and data security.

Partnering with experts in quantum machine learning can propel these industries towards groundbreaking advancements, ultimately improving patient care, driving innovation, and saving lives.

Advanced Drug Discovery

Quantum machine learning can significantly accelerate the drug discovery process in healthcare and pharmaceuticals. By leveraging the quantum computing capabilities, complex simulations and molecular modeling can be performed more efficiently, enabling researchers to identify potential drug candidates faster and with higher precision. This expedites the development of life-saving medications and opens up new avenues for personalized medicine.

Enhanced Precision Medicine

Quantum machine learning empowers healthcare providers to deliver personalized treatments with unprecedented precision. By analyzing vast amounts of patient data, including genetic information, medical records, and clinical trials, quantum algorithms can identify subtle patterns and correlations that may elude classical machine learning methods. This enables healthcare professionals to tailor treatments and interventions based on an individual's unique characteristics, leading to improved patient outcomes.

Optimized Clinical Trials

Quantum machine learning can revolutionize the design and optimization of clinical trials. By modeling complex interactions and considering multiple variables simultaneously, quantum algorithms can streamline the trial process, identify optimal patient cohorts, and enhance statistical analysis. This leads to more efficient trial outcomes, reduced costs, and accelerated development of new therapies, benefiting both patients and pharmaceutical companies.

Data Security & Privacy

Quantum machine learning also plays a crucial role in ensuring data security and privacy in healthcare and pharmaceuticals. Quantum cryptography techniques can be employed to secure sensitive patient information, protect intellectual property, and prevent unauthorized access. This enables healthcare organizations and pharmaceutical companies to maintain data integrity and privacy, building trust and compliance with regulatory requirements.

Disease Detection & Diagnosis

Quantum machine learning can enhance disease detection and diagnosis capabilities in healthcare. By analyzing intricate patterns within medical imaging data, genomic data, and patient records, quantum algorithms can detect subtle biomarkers and indicators of diseases at an early stage. This enables more accurate diagnoses, timely interventions, and improved prognosis, ultimately saving lives and improving patient outcomes.

Personalized Treatment Plans

Quantum machine learning enables the development of sophisticated predictive models that can generate personalized treatment plans for patients. By analyzing diverse datasets, including patient history, genetic information, and real-time monitoring data, quantum algorithms can optimize treatment decisions and provide tailored recommendations. This empowers healthcare professionals to deliver precision medicine, optimizing the therapeutic benefits while minimizing side effects and risks.

Why Ingenii?

Establish a Quantum Roadmap

We work closely with your team to establish a clear roadmap for integrating quantum machine learning into your organization's strategy. Our consultants leverage our deep academic partnerships and industry experience to identify the most promising quantum hardware platforms, software frameworks, and tools, ensuring that your path to scale aligns with the evolution of quantum technologies.

Scalability & Future-readiness

Quantum hardware is rapidly evolving, and we ensure that your quantum machine learning solutions are future-proofed and scalable. By staying at the forefront of quantum advancements and collaborating with leading researchers, we continuously optimize your models and algorithms, keeping your organization ahead of the curve as the quantum ecosystem matures.

Backed by Academic Prowess

Our Chief Science Officer, Laia Domingo, leads a team of experts who are at the forefront of quantum research. Our deep academic partnerships enable us to leverage the latest developments in the field, ensuring that your quantum machine learning solutions are built on a foundation of cutting-edge knowledge and innovation.

Benchmarking & Performance

We rigorously benchmark quantum machine learning algorithms against classical counterparts to assess their performance and potential advantages. Through meticulous experimentation and analysis, we provide actionable insights into how quantum computing can accelerate your machine learning tasks, improve accuracy, and solve previously intractable problems.

Evaluate Classical Models

We analyze your existing classical machine learning models to identify potential areas where quantum computing can provide a competitive advantage. Our experts understand the nuances of both classical and quantum approaches, enabling us to pinpoint the most promising applications of quantum machine learning within your specific domain.

Build Proof of Concepts (POCs)

We develop robust and customized POCs that demonstrate the power of quantum machine learning within your business context. Our team combines their expertise in quantum algorithms and data science to create tangible prototypes that showcase the transformative capabilities of quantum technology.

Experience the potential of quantum computing with Ingenii's open-source Quantum Algorithm Library. Built by our community for our community. Gain access to standalone quantum and hybrid algorithms, packaged in Python and ready to implement. Seamlessly integrate classical and quantum computation through Jupyter notebooks, and run algorithms on any quantum hardware.

Leverage our open-source library

EXPLORE our services

  • Our consultants work closely with your team to gain a thorough understanding of your business objectives, challenges, and expected outcomes. We then tailor our proprietary qml architecture solutions to perfectly align with your unique requirements, ensuring optimal performance and maximum return on investment.

  • Our team of experts will work with your business to evaluate your classical machine learning models to help determine where there might be an opportunity for quantum to add an advantage. We conduct an initial POC with benchmarking and performance assessments, data infrastructure integration as well as scalability as the hardware matures.

MEET OUR Quantum Machine Learning Experts

Laia’s life goal is to harness her knowledge of physics and mathematics to make a profound impact on society. Laia was drawn to quantum computing’s immense potential to revolutionize all scientific domains. She enjoys being part of a community of brilliant minds working on solving previously unsolvable problems. With her deep domain knowledge and expertise in quantum machine learning, she can help you build leading edge quantum algorithms that provide near-term advantage with a path to scale.


  • Chief Science Officer

    Laia is an experienced data and quantum algorithm scientist. She has a Masters in Data Science and a PhD from ICMAT in Artificial Intelligence and Mathematics for Quantum Physics. At Ingenii, she spearheads everything quantum from research to product design.