Quantum Computing on AWS for Beginners: Amazon Braket

Compare classical bits and quantum bits to explain gate-based quantum computers, highlighting superposition and entanglement as defining quantum properties and contrasting with definite 0 or 1 classical states.

Explain superposition as a qubit property, showing how qubits can be in a combination of 0 and 1 with amplitudes alpha and beta, including phase and Bloch sphere representation.

Explore quantum entanglement where two qubits are correlated so measuring one instantly reveals the other's state. See a controlled gate creating Bell states and correlated outcomes.

Compare classical bits with qubits on the Bloch sphere and entanglement; explore quantum algorithms like Shor and Grover, and hardware options such as trapped ions via Amazon Braket.

Compare quantum hardware and simulators. Simulators run on classical computers using Qiskit, Cirq, and Braket, but quantum machines are essential as qubits scale due to memory growth and exponential requirements.

Explore annealing based quantum computing, contrast with gate based approaches, and learn how quantum annealing minimizes energy in an Ising-style Hamiltonian to solve optimization problems like the traveling salesman problem.

Explore how binary numbers underpin quantum computing, convert between binary and decimal with powers of two, and view quantum bit results in bracket notation.

Explore quantum gates that transform qubit states, including X, Y, Z, Hadamard, and single-qubit rotations on the Bloch sphere, plus a controlled two-qubit gate for entanglement.

Explore the matrix representation of quantum gates by modeling quantum states as vectors and gates as matrices, including X, Hadamard, and R gates, and two-qubit gates with 4x4 matrices.

Explore Amazon Braket’s features, including Sv1, Tn1, and Dm1 simulators, and learn pricing, notebooks, and the Braket SDK for hybrid jobs and Breakout Direct.

Create an AWS free tier account and set up multi-factor authentication to secure the root user, using verification codes, IAM, and Google Authenticator.

Create an IAM user for a Braket proof of concept and grant console access with appropriate policies. Enable MFA and sign in securely using the IAM credentials and console URL.

Navigate the Amazon Braket top page to explore menus, devices, simulators, notebooks, costs, and features like calibration, topology, fidelity, hybrid jobs, algorithm library, and Breakout Direct.

Explore Amazon Braket notebooks in the AWS cloud, a pre-configured environment with Braket SDK, Qiskit, and Penny Lane to prototype quantum algorithms.

Learn how to execute Bell's algorithm on an Amazon Braket notebook using the Braket SDK, including setting up a local simulator, running circuits, and visualizing results.

Shows executing Bell's algorithm using Qiskit in an Amazon Braket notebook, building a two-qubit Bell circuit with a Hadamard gate and a gate on both qubits, then running locally.

Learn how to use the AWS managed simulator to run Bell's algorithm and ghz circuits from two to thirty qubits in an Amazon Braket notebook, and manage costs.

Learn how to run a quantum computer on Amazon Braket and perform z and x basis measurements using observables, while managing permissions, costs, and tracking results in S3.

Explore Grover's algorithm for two qubits and learn how to implement it on an Amazon Braket notebook, including the oracle, amplitude amplification, and the quantum gate sequence.

Implement Grover's algorithm for n qubits using the Amazon Braket algorithm library, build an oracle circuit, and run on a local or AWS managed simulator.

Explore quantum machine learning on Amazon Braket using the variational quantum classifier, detailing hybrid quantum–classical training, XOR and concentric circles datasets, and Pennylane integration.