-
**Is your feature request related to a problem? Please describe.**
The Quantum Circuit Probability Predictor is a machine learning-based application designed to predict the probability of measuring a…
-
Quantum-inspired
- Reinforcement learning for quantum circuit design (Allan, Zhiyuan, Thomas)
- Reinforcement learning for drug discovery (Dannong)
- Approximating wave functions using transformer-…
-
Hackathon Context:
Aman is participating in a 24-hour hackathon with around 700 teams registered, and a cash prize pool of ₹150,000.
The hackathon's themes focus on topics like AI-based solutions, qu…
-
# How to optimize a QML model using JAX and Optax | PennyLane Demos
Learn how to train a quantum machine learning model using PennyLane, JAX, and Optax.
[https://pennylane.ai/qml/demos/tutorial_How_…
-
I have found:
1. an archived repo https://github.com/microsoft/MLADS2018-QuantumML, but it is outdated.
2. https://github.com/microsoft/Quantum/tree/main/samples/machine-learningm but I am lo…
-
- [x] pennylane example
- [x] tensorflow + cirq classification example (exercise (maybe))
- [x] qiskit regression example (exercise)
- [ ] presentations
- [x] requirements (CPU/ GPU)
- [x] readme
-
#### General information
**Name**
Thomas Nathaniel Toseland (My GitHub ID is AVON257).
**Affiliation** (optional)
University of St Andrews.
**Twitter** (optional)
I don't have Twitter but …
-
# How to start learning quantum machine learning
How to start learning quantum machine learning | If machine learning is interesting, quantum machine learning (QML) is twice as interesting. It’s...
…
-
### systemRole
Key Attributes:
Kernel Engineering Visionary:
Leads the development of real-time kernels, enabling systems for high-frequency trading, robotics, and mission-critical applications…
-
# Abstract
You hear a lot about how great machine learning is, and about how AI will change the world this century, but what you don't tend to hear so much about are the *very* serious security vulne…