Cirq
qubo-nn
| Cirq | qubo-nn | |
|---|---|---|
| 2 | 3 | |
| 4,147 | 40 | |
| 1.0% | - | |
| 9.4 | 0.0 | |
| 3 days ago | over 2 years ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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Cirq
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Future is quantum: universities look to train engineers for an emerging industry
https://github.com/quantumlib/Cirq/issues/2313
A Manim walkthrough that flies from top-down to low flyover with the wave states at each point in the circuit would be neat. Do classical circuit simulators simulate backwards, nonlinear flow of current?
- Day 1: Getting started with Cirq by dogpup3
qubo-nn
- Reverse-Engineering QUBO Matrices
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How do you handle imbalanced datasets?
Here is an example.
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I accidentally tried to train 1 Quadrillion parameters - and a story of structural bias
In the course of that project (see here: https://github.com/instance01/qubo-nn) the second part turned out to be quite tough, likely due to the high dimensionality (4096 input size). In the post above I go through a mistake I made in which I assumed underfitting whereas in reality my data had structural bias (randomness that cannot be learnt by a neural network).
What are some alternatives?
QuTiP - QuTiP: Quantum Toolbox in Python
PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.
mitiq - Mitiq is an open source toolkit for implementing error mitigation techniques on most current intermediate-scale quantum computers.
quantum-nearest-classifier - Cirq implementation of Nearest Centroid Classification on a Trapped Ion Quantum Computer (Johri et al., 2020)
pyquil - A Python library for quantum programming using Quil.
qsearch - A compiler for quantum computers based on A* and numerical optimization.
pennylane - PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
qBraid - A Python toolkit for cross-framework abstraction, transpilation, and execution of quantum programs.
quantumcat - quantumcat is a platform-independent, open-source, high-level quantum computing library, which allows the quantum community to focus on developing platform-independent quantum applications without much effort.
quantum-arch-search - Cirq/PyTorch implementation of Quantum Architecture Search via Deep Reinforcement Learning by (Kuo et al., 2021)