Elevate Financial Analysis and Decision-Making with Classiq's Quantum Computing Platform

LEVERAGE QUANTUM ADVANTAGES IN finance

Harness the Power of Quantum Computing for Advanced Forecasting and Optimized Portfolio Management. Simplify Complex Financial Computations, Uncover New Opportunities, and Stay Ahead in the Financial Sector

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AMPLIFY YOUR FINANCIAL STRATEGIES WITH CLASSIQ

Discover a new horizon in financial computations with Classiq

Our platform empowers you to leverage quantum algorithms for key applications, such as machine learning for forecasting and quantum optimization for resource allocation.

Design visually analyze and deploy

In a click of a button

Define your model and set  your constraints

Visually interrogate, debug, and optimize your quantum circuit

Run your optimized circuit on the cloud quantum computer of  your choice

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Applications (use cases)

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MAIN BENEFITS

DEDICATED EXPERT SUPPORT

Effortlessly execute your quantum financial algorithms on any gate-based quantum computer via the cloud.

INTUITIVEVISUALIZATION

Analyze and debug your quantum financial models interactively, promoting a new level of understanding.

HARDWARE-SPECIFIC OPTIMIZATION

Fine-tune your quantum financial algorithms for optimal performance across a wide range of quantum hardware.

CUSTOMOPTIMIZATION

Set your own constraints and preferences for the optimization of your quantum financial models.

SEAMLESSINTEGRATION

Use financial-specific languages with our platform, without requiring extensive quantum computing knowledge.

DEDICATED EXPERTSUPPORT

Get support at all proficiency levels, from answering common questions to meeting our developers for algorithm advice.

PRESS QUOTES

“Quantum computing is considered by many current and aspiring QC end users as critical to their overall innovative capabilities as well as being a strong enabler of competitive advantage. But there is an acute need for software that brings to life the scale and capabilities of quantum machines. 

The Classiq approach of using functional models to abstract the complexity of quantum computing is a very promising way to deliver first-mover advantages to companies and their stakeholders.”

Bob Sorensen | senior vice president of research

The Classiq approach of using functional models to abstract the complexity of quantum computing is a very promising way to deliver first-mover advantages to companies and their stakeholders.”

Bob Sorensen | senior vice president of research

The Classiq approach of using functional models to abstract the complexity of quantum computing is a very promising way to deliver first-mover advantages to companies and their stakeholders.”

Bob Sorensen | senior vice president of research