Classiq for Academia
Classiq helps universities and research institutions accelerate quantum innovation through collaboration on grants, advanced research, and publications. By combining industry-proven quantum software with hands-on educational tools, Classiq enables educators, researchers, and students to build and run real quantum applications across leading quantum hardware and simulators.
Partnering with institutions worldwide
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Educate, Research and Utilize Quantum
Deliver co-authored, high-impact publications.
Designed for diverse audiences from quantum physicists to STEM students, our high-level courses fit all level of expertise.
Full-stack integration across HPC systems and quantum processors.
Support for scalable, hybrid quantum-classical workflows.
Past collaborations with top institutions
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Surface code off-the-hook: diagonal syndrome-extraction scheduling
By Austin Folwer and Gilad Kishony
A diagonal scheduling approach for rotated surface codes avoids hook errors that can reduce error-correcting performance. Unlike traditional methods that require complex, geometry-dependent planning and longer execution cycles, this approach ensures errors never align with logical operators, preserving full code distance. It uses a simple, uniform schedule across the system, reduces the number of required time steps, and delivers equal or improved performance across key quantum operations.
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Curve-Fitted QPE: Extending Quantum Phase Estimation Results for a Higher Precision using Classical Post-Processing
By See Min Lim, Cristian E. Susa and Ron Cohen
Quantum Phase Estimation (QPE) is a key building block in many leading quantum algorithms, and improving its accuracy and efficiency is an active area of research. This work presents a hybrid quantum-classical approach that combines a standard QPE circuit with classical curve-fitting for post-processing. The method achieves high precision at the optimal Cramér-Rao bound and performs comparably to leading techniques like VQE and Maximum Likelihood Amplitude Estimation. It can also be extended to estimate multiple phases.
Why Academia with Classiq?
