Introduction to Quantum Computing (D-Wave)
D-Wave
NISQ
1 course · 8 tutorials
Courses
Free Tutorials
- →
- intermediate
- 22 min read
PennyLane Error Mitigation: ZNE and PEC for NISQ Circuits
Cut noise on NISQ devices with PennyLane: implement zero-noise extrapolation and probabilistic error cancellation, with a working example that beats the unmitigated baseline.
- →
- intermediate
- 25 min read
Noise Simulation in PyQuil
Learn to simulate realistic quantum noise in PyQuil using Kraus operators, depolarizing channels, and T1/T2 decoherence models. Compare ideal and noisy Bell state results on the QVM.
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- intermediate
- 30 min read
QAOA for MaxCut: A Complete Qiskit Walkthrough
Build the Quantum Approximate Optimization Algorithm from scratch in Qiskit to solve MaxCut on small graphs. Understand the circuit structure, cost function, and how to tune the depth parameter p.
- →
- advanced
- 14 min read
Advanced Error Mitigation in Qiskit Runtime
Use Qiskit Runtime's built-in error mitigation options: resilience levels, zero-noise extrapolation, and Probabilistic Error Cancellation in the Estimator primitive.
- →
- advanced
- 35 min read
Quantum Error Mitigation: ZNE vs PEC vs Clifford Data Regression
A practical comparison of the three main quantum error mitigation strategies (zero-noise extrapolation, probabilistic error cancellation, and Clifford data regression) with working Mitiq code and guidance on when to use each.
- →
- intermediate
- 14 min read
Error Mitigation with Mitiq: Zero-Noise Extrapolation
Use Mitiq's zero-noise extrapolation to reduce the impact of hardware noise on expectation values without full quantum error correction.
- →
- intermediate
- 15 min read
Variational Quantum Eigensolver (VQE) Explained
How VQE works: the variational principle, ansatz design, classical optimizer loop, and a complete Qiskit implementation for finding the ground state of a simple Hamiltonian.
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- beginner
- 20 min
Quantum Annealing vs Gate-Based Quantum Computing
A clear comparison of quantum annealing and gate-based quantum computing: how they work, what problems they solve best, and when to choose each approach.