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Get StartedA hybrid architecture for QGANs with various noise models ran on a quantum processor showed that simulations and results on hardware remain more impervious to noise than standard QGAN counterparts.
Learn MoreA quantum reinforcement algorithm was successfully run on a quantum processor with results close to the ideal noiseless simulated results.
Learn MoreDemonstrates that it is possible to simulate the dynamics of a quantum material on a quantum computer.
Learn MoreA new approach for simulating plasma systems and how to simulate time-dynamics for plasmas using optimal control techniques to enable Hamiltonian emulation.
Learn MoreA qubit coupled-cluster method that starts directly in the qubit space and uses energy response estimates for ranking the importance of individual entanglers for the variational energy minimization.
Learn MoreSolves the largest known implementation of a 1024x1024 linear system in quantum hardware with 10 qubits on a Rigetti Aspen-4 processor by leveraging VQLS.
Learn MoreA quantum chemistry simulation benchmark to evaluate the performance of quantum devices and guide the development of applications for future quantum computers.
Learn MoreThe Rigetti Quantum Virtual Machine (QVM) is a flexible and efficient simulator for Quil.
Learn MoreA Python library for quantum programming using Quil, the quantum instruction language developed at Rigetti Computing.
Learn MoreA cross-platform Python library for quantum machine learning, automatic differentiation, and optimization of hybrid quantum-classical computations.
Learn MoreAccurately calculate molecular properties by leveraging the power of quantum computing in conjunction with advanced problem decomposition techniques.
Learn MoreAn end-to-end stack that compiles and executes quantum chemistry algorithms for NISQ devices.
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