Centre for Quantum Technologies Courses

AI for Quantum - Toward AI-Enhanced Quantum Computing Applications

Explore how AI enhances quantum computing through generative models and accelerated algorithm development, featuring the innovative Generative Quantum Eigensolver approach.

• YouTube
• 50 minutes
• Self-Paced
• Free Video

QuantumBoost - A Lazy, Yet Fast, Quantum Algorithm for Learning

Discover QuantumBoost, a quantum algorithm that combines weak learners into strong classifiers with superior runtime complexity, featuring insights from AI-assisted development.

• YouTube
• 48 minutes
• Self-Paced
• Free Video

Quartic Quantum Speedups for Planted Interface

Discover quantum algorithms achieving quartic speedups for planted inference problems using the Kikuchi Method, with applications to machine learning and statistical hardness.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Accelerating Inference for Multilayer Convolutional Neural Networks with Quantum Computer

Explore quantum acceleration of neural network inference using fault-tolerant QPUs, examining QRAM assumptions and complexity bounds for ResNet-style architectures.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

An Efficient Approach to Realize Quantum Random Features

Discover an efficient quantum machine learning architecture using Random Fourier Features with layered circuits, achieving O(log N_f·L) computational cost for scalable QML models.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

Designing Quantum Machine Learning Models for Graphs

Explore geometric quantum machine learning models for graph datasets, understanding their design principles and benefits over classical approaches.

• YouTube
• 19 minutes
• Self-Paced
• Free Video

Testing Classical Properties from Quantum Data

Explore quantum algorithms that test Boolean function properties using quantum data, revealing speedups over classical methods and establishing fundamental limits.

• YouTube
• 19 minutes
• Self-Paced
• Free Video

The Abelian Version of the State Hidden Subgroup Problem

Explore quantum algorithms for identifying hidden symmetries in quantum states, focusing on abelian groups and applications to stabilizer groups, entanglement cuts, and translation symmetries.

• YouTube
• 19 minutes
• Self-Paced
• Free Video

Quantum State-Agnostic Work Extraction (Almost) Without Dissipation

Discover quantum work extraction protocols that achieve exponential improvements over state tomography by balancing battery charging with information acquisition using reinforcement learning strategies.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

LOCC-Assisted Quantum Circuits for Long-Range Entangled States

Explore quantum-classical hybrid algorithms for preparing long-range entangled states using LOCC protocols, reducing circuit depth while maintaining accuracy for topological orders.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

Polynomial Speed-Up in Photonic Neural Networks via Adaptive State Injection

Discover how adaptive state injection achieves polynomial speed-ups in photonic quantum convolutional neural networks for enhanced machine learning performance.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

Efficient Quantum-Enhanced Classical Simulation for Patches of Quantum Landscapes

Discover quantum-enhanced classical simulation methods for efficiently approximating expectation landscapes in parameterized quantum circuits with complexity guarantees.

• YouTube
• 16 minutes
• Self-Paced
• Free Video

Hamiltonian Locality Testing via Trotterized Postselection

Explore advanced quantum algorithms for testing Hamiltonian locality with optimal evolution time bounds and novel trotterized postselection techniques.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

A Universal Script for Machine Learning Derived Entanglement Witnesses

Discover a machine learning approach to generating entanglement witnesses with customizable measurement settings for quantum systems up to 5 qubits and various qudit configurations.

• YouTube
• 17 minutes
• Self-Paced
• Free Video

Scalable Neural Decoders for Practical Real-Time Quantum Error Correction

Explore Mamba decoder architecture for quantum error correction, achieving transformer-level accuracy with superior O(d²) scaling for real-time quantum computing applications.

• YouTube
• 19 minutes
• Self-Paced
• Free Video