Your Gateway to the Quantum Age
Pioneering high-performance and user-friendly software platforms that unlock the full potential of quantum hardware.
What we do
Offerings
Benchmarking Quantum Computers
Evaluate performance with tailored or open-source application-oriented benchmarks designed to reflect real-world quantum workloads.
Integration of Quantum Applications with Hardware
Maximize your application’s performance through our custom code compilation services
Quantum Machine Learning Platform
Blog post explaining the paper
Alpha access to platform: Contact us
Papers
Quantum Machine Learning Platform
Quantum Foundation Models for your Data
Broadly applicable models that can be adapted to various tasks trained on domain specific datasets
Parameters of models trained today can be used to initialize parameters of larger future models
Our platform enables value creation on quantum computers starting today
Quantum Machine Learning Platform
Engage with us
Build generative and predictive models on real datasets
Benchmark models, estimate resources, and project performance vs. classical
Optimize model implementations for execution on current hardware
Research on abstractions
Blog
Research Themes
Full Stack Quantum Software
What will it take to make quantum computing truly usable? How can we connect high-level application needs with the gritty realities of quantum hardware?
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Building Quantum Intelligence
What will it mean to create a new kind of intelligence – one that relies on quantum superposition and entanglement – which can discover patterns beyond the reach of classical logic?
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Quantum Programming Abstractions
What does it mean to program a quantum computer? Why are we still stuck specifying individual qubit gates by hand? And what would a true quantum programming language look like?
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Founder Profile
Dr. Sonika Johri is Founder & CEO of Coherent Computing, a company focused on building software platforms to enable users to take advantage of the rapidly expanding capabilities of quantum hardware. As a Principal Researcher at IonQ, she led a team working on quantum applications R&D for clients ranging from startups to Fortune 500 companies.
She has authored 40+ publications, recently focusing on cutting‐edge quantum algorithm demonstrations in the areas of generative and discriminative machine learning, quantum chemistry, optimization, and condensed matter physics across a variety of quantum hardware platforms, as well as developing frameworks for quantum benchmarking.
She has a PhD in theoretical condensed matter physics from Princeton University.
Videos
Appearances at Q2B
Lectures
