Analog Hamiltonian simulation

Noisy quantum dynamics

This tutorial shows how to run noise simulation on Braket’s Rydberg atom devices

Getting Started with Analog Hamiltonian Simulation

This tutorial provides an introduction to Analog Hamiltonian Simulation (AHS), a quantum computing paradigm different from gate-based computing. AHS uses a well-controlled quantum system and tunes its parameters to mimic the dynamics of another quantum system, the one we aim to study.

Getting Started with Aquila

This tutorial illustrates how to run an AHS program on QuEra’s Aquila, a Rydberg based QPU, via Amazon Braket.

Ordered Phases in Rydberg Systems

This tutorial shows how to prepare ordered phases in Rydberg systems, focusing on the 1D phase and the 2D checkerboard phase. It uses an adiabatic time-evolution to prepare these many-body ground states.

Parallel Tasks on Aquila

This tutorial builds on the previous notebook tutorial to use a checkerboard preparation that takes advantage of the full area.

Maximum Independent Sets

This tutorial demonstrates how to set up a unit disk graph and solve for its maximum independent set using the Amazon Braket analog Hamiltonian simulation (AHS) local simulator.

Running on Local Simulator

This tutorial shows how to test and debug an analog Hamiltonian simulation (AHS) program on the local simulator before submitting it to a QPU. It introduces several features of the local simulator that will be useful to streamline this testing process.

Simulation with PennyLane

This tutorial shows how to run analog Hamiltonian simulation (AHS) on Braket’s Rydberg atom devices leveraging quantum machine learning techniques from PennyLane.

Simulating lattice gauge theory with Rydberg atoms

This tutorial shows how to prepare a specific initial state, using local detuning, to simulate the dynamics of a lattice gauge theory.

Maximum weight independent set

This tutorial generalizes the approach to solve the maximum weight independent set (MWIS) problem.