Transfer learning in hybrid classical-quantum neural networks
Proof-of-concept examples of the convenient application of quantum transfer learning for image recognition and quantum state classification.
Learn MoreRunning on Rigetti
Explore our rapidly growing library of platforms, tools, and applications powered by Rigetti systems.
Azure Quantum
MicrosoftRun your code on Rigetti systems available today through Azure Quantum. Azure Quantum brings together the most innovative quantum computing technologies into a single cloud service. Get started today and take advantage of $500 in free credit for Rigetti hardware or apply for a larger $10,000 Azure Quantum Credit grant.
Get StartedExperimental demonstration of a quantum generative adversarial network for continuous distributions
A 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 MoreMeasurement-based adaptation protocol with quantum reinforcement learning in a Rigetti quantum computer
A quantum reinforcement algorithm was successfully run on a quantum processor with results close to the ideal noiseless simulated results.
Learn MoreTowards simulation of the dynamics of materials on quantum computers
Demonstrates that it is possible to simulate the dynamics of a quantum material on a quantum computer.
Learn MoreQuantum computation of three-wave interactions with engineered cubic couplings
A new approach for simulating plasma systems and how to simulate time-dynamics for plasmas using optimal control techniques to enable Hamiltonian emulation.
Learn MoreQubit coupled-cluster method: A systematic approach to quantum chemistry on a quantum computer
A 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 MoreVariational Quantum Linear Solver
Solves 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 MoreQuantum chemistry as a benchmark for near-term quantum computers
A quantum chemistry simulation benchmark to evaluate the performance of quantum devices and guide the development of applications for future quantum computers.
Learn MoreQVM
The Rigetti Quantum Virtual Machine (QVM) is a flexible and efficient simulator for Quil.
Learn MorePyquil
A Python library for quantum programming using Quil, the quantum instruction language developed at Rigetti Computing.
Learn MoreQClassify
Train a variational quantum circuit for classification of data points using a labeled set of training data.
Learn MorePennyLane
A cross-platform Python library for quantum machine learning, automatic differentiation, and optimization of hybrid quantum-classical computations.
Learn MoreDisplaying 13–24 of 35 results