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Leverage enterprise‑grade quantum software to accelerate genomic analysis, medical imaging, and drug discovery. Classiq's high-level development environment delivers automatically optimized implementations and effortlessly scalable quantum programs you can run on any quantum hardware.

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Our Clients

Our clients trust Classiq to enable their quantum initiatives, upskill their workforce, and deploy efficient quantum programs

Case Studies

Quantum For Brain Signal Diagnostics With The Sourasky Medical Center

Analyzing brain signals such as EEG, MEG, or fMRI data, is central to diagnosing neurological conditions, monitoring cognitive states, and advancing brain-computer interfaces. These signals are high-dimensional, noisy, and non-stationary, presenting challenges for classical data processing and pattern recognition methods.
A quantum computing study in brain-signal diagnostics explores how quantum machine learning algorithms such as quantum kernel methods or variational quantum classifiers, could enhance the classification and clustering of neural signal patterns. These models may offer advantages in learning from complex correlations across multiple brain regions or signal channels.

The work typically involves preprocessing brainwave data into suitable feature sets, encoding them into quantum circuits, and evaluating quantum models.
This work supports the medium-term potential of quantum-enhanced diagnostics in neuroscience and healthcare offering a path toward more accurate, adaptive, and individualized assessments of brain health.

Medical Image Reconstruction

Medical image reconstruction in MRI, CT, and PET scans, relies on solving complex inverse problems to transform raw sensor data into usable images. These reconstructions must be accurate, fast, and often performed under noisy or incomplete data conditions, making them computationally intensive.

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A quantum computing use-case in medical image reconstruction explores how quantum algorithms can support or accelerate key steps, such as sparse signal recovery, matrix inversion, or compressed sensing. Techniques like the Harrow-Hassidim-Lloyd (HHL) algorithm or quantum-enhanced optimization may offer potential speedups or improved handling of high-dimensional data.
The application typically uses synthetic or anonymized clinical datasets to benchmark quantum-assisted methods against classical solvers in terms of reconstruction quality, convergence rate, and robustness to noise.

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For medical technology developers and healthcare providers, advances in image reconstruction can translate into faster diagnostics, reduced scan times, and improved outcomes.

Quantum Applications For Healthcare

Personalized Medicine

Process genomic and clinical data for treatment matching
Scalable quantum software handles large variant sets
Speed up discovery of actionable biomarkers

Medical Imaging

Quantum algorithms boost image reconstruction and denoising
Improved diagnostic accuracy and reduced scan times
Integrate with PACS and AI workflows

Drug Discovery

Quantum‑enhanced molecular simulation for lead compounds
Powerful efficient quantum programs accelerate in‑silico trials
Seamless hand‑off to wet‑lab validation

Enable Your Quantum Initiatives

Quantum Team Building

If you and your team are getting started with quantum computer programming, Classiq’s hands-on quantum training program is built for technical professionals. You’ll begin with a focused introduction to quantum computing fundamentals: qubits, quantum gates, and circuit models. Next, you’ll explore key quantum algorithms such as QAOA, VQE, and Grover’s, with an emphasis on practical implementation. The core of the training is onboarding to the Classiq platform, where you’ll learn high-level quantum algorithm development, resource-aware quantum circuit design, and hardware-aware optimization. This program equips developers, engineers, and researchers with the skills to build scalable quantum applications from day one.

Quantum Use-Case Implementation

Classiq’s Use-Case Scoping and Implementation Program is designed to guide teams through the full lifecycle of quantum application development. Whether you're exploring quantum for the first time or scaling an R&D initiative, our experts work closely with you to identify high-impact quantum use cases, define algorithmic approaches, and map requirements to current hardware capabilities. From initial use-case selection to algorithm synthesis and execution on quantum processors, the program is tailored to your project’s complexity and your team’s quantum maturity. It's a practical, results-driven pathway to developing and deploying real-world quantum solutions with clarity, speed, and technical confidence.

Advanced Quantum Application Development

Classiq’s Advanced Quantum Application Development offering is designed for teams looking to elevate their quantum work into scalable, future-ready solutions. This offering supports the development of complex quantum circuits using Classiq’s high-level synthesis platform, enabling modular, optimized, and hardware-agnostic quantum algorithm design. It’s ideal for organizations aiming to turn their quantum initiatives into long-term assets, reusable components, or proprietary IP. Whether refining advanced algorithms like QAOA or VQE, or preparing applications for next-gen quantum hardware, this offering helps teams industrialize their quantum development and ensure their work is robust, efficient, and strategically aligned with long-term R&D goals.

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