Quantum Computer Programming With Qiskit
Learn to program quantum computers using Qiskit, covering qubits, gates, and the Deutsch-Jozsa algorithm in this comprehensive introduction to quantum computing.
Quantum Chemistry with Qiskit
Explore quantum chemistry applications using Qiskit, focusing on simulating molecular systems and solving electronic structure problems.
Quantum Machine Learning - Cutting Through the Buzzword BS
Explore the intersection of quantum computing and machine learning, examining QML's viability, progress, and challenges. Learn how ML developers can contribute to open-source QML projects like Qiskit Machine Learning.
Cloud-Native Quantum: Running Quantum Serverless Workloads on Kubernetes
Explore the integration of quantum computing with cloud-native technologies, focusing on running quantum workloads serverlessly using Kubernetes, Knative, and Qiskit toolkit.
Quantum in the Cloud - Running Quantum Workloads on Kubernetes
Explore how Kubernetes ecosystem facilitates quantum computing's transition from labs to mainstream, focusing on frameworks for managing quantum workloads and the role of quantum serverless in cloud computing's future.
Alternative Introduction to Quantum Computers
Explore quantum computing from a programmer's perspective, covering essentials, Qiskit examples, and real hardware use on AWS Braket. Gain insights into quantum power and limitations.
Qiskit - Building a Quantum Computing Community
Explore quantum computing with Qiskit, an open-source SDK. Learn about qubits, quantum algorithms, and join a global community of developers pushing the boundaries of computational power.
Using Qiskit to Create Quantum Games
Explore quantum key distribution and BB84 protocol through game development using Qiskit. Learn to implement quantum cryptography concepts in interactive applications.
Hybrid Quantum-Classical Machine Learning using Qiskit
Explore hybrid quantum-classical machine learning with Qiskit for text classification and sentiment analysis, combining quantum circuits and classical models.
The Affordances of Quantum Art
Explore the intersection of quantum computing and art with IBM Quantum's Design Lead, uncovering innovative creative possibilities and visual representations.
Hybrid Quantum-Classical Machine Learning using Qiskit
Explore hybrid quantum-classical machine learning with Qiskit for text classification and sentiment analysis, combining quantum circuits and classical models.
Developing New Quantum Neural Networks for Neuroradiology
Explore quantum neural networks for neuroradiology, focusing on modifications to Qiskit/Python circuits, updated fit times, fidelity values, and applications in MRI/PET image classification.
How to Create, Optimize, and Implement Quantum ML Algorithms
Explore quantum ML algorithm creation, optimization, and implementation. Master Qiskit circuits, pulse schedules, and transpiler passes. Learn hyperparameter tuning and platform integration techniques.
IBM Qiskit Machine Learning Tutorials
Explore IBM Qiskit Machine Learning tutorials for quantum-inspired models using Python. Learn rapid prototyping techniques, practical R&D workflows, and quantum simulators for state-of-the-art machine learning applications.
How to Select the Correct QML Loss Function and Optimizer
Explore loss functions and optimizers for quantum machine learning libraries. Learn to choose optimal parameters for accurate predictions and efficient model convergence in QML applications.
QiML Algorithm Architecture R&D - New Utilities and Higher Accuracies
Explore advanced quantum algorithm architectures for improved QiML performance. Discover gate-less circuit designs and new utilities to enhance adoption and accuracy in quantum machine learning.
QML/QiML Technology for Medical Regulatory Agency Review - November 9, 2023
Explore QML/QiML technology for medical regulatory review, covering key organizations, fundamental areas, and specific medical research applications. Gain insights into FDA guidelines and next steps.
Qiskit, PennyLane QML, and QiML Demos - Thanksgiving Eve
Explore Qiskit and PennyLane QML/QiML demos to improve runtimes, losses, and accuracies. Learn quantum computational building blocks and differentiable programming for medical R&D applications.
Advanced PyTorch and TensorFlow Deep Learning with QML and QiML Layers
Incorporate quantum algorithms into machine learning frameworks using PyTorch and Keras. Learn benchmarking, strategic layer insertion, and explore potential applications with quantum layers.
Black Hat Asia 2025
Black Hat Asia 2025