Noisy Intermediate Scale Quantum (NISQ)

Qunova’s HiVQE Algorithm Achieves Chemical Accuracy on NISQ Systems

Qunova Computing’s HiVQE algorithm achieved chemical accuracy across multiple quantum systems, marking significant progress in quantum chemistry. Tested on IQM, IBM, and AQT processors, the solution demonstrated hardware-agnostic performance. With fewer qubits required, Qunova’s algorithm offers a practical path toward quantum advantage in chemical computations.

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Just Because a QPU Gives You a Result Once, Does Not Mean It Will Do So Reliably

In February of 2022, Agnostiq released a study providing the present state-of-the-art for solving combinatorial optimization problems on real, noisy gate-model quantum computers. Although the study was primarily focused on the optimization of discrete financial portfolios, the work is much more general with consequences for other industrially important problems including vehicle routing, task scheduling and facility location services.

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