Pinned Repositories
airline-hubs
Determine which airports should be hub locations for an airline. Solved using the LeapHybridDQMSampler.
amazon-braket-examples
Example notebooks that show how to apply quantum computing in Amazon Braket.
amazon-braket-sdk-python
A python SDK for interacting with quantum devices via AWS.
awesome-quantum-software
Curated list of open-source quantum software projects.
ayazskhan.github.io
bohr_cirq_qaoa
Implementation of Quantum Approximate Optimization Algorithm (QAOA) to solve the MAXCUT problem in Google Cirq framework.
bra-ket-vue
⟨𝜑|𝜓⟩.vue - a Vue-based visualization of quantum states and operations
docs
D-Wave Ocean Documentation
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
LEAPTesting
Sample code for LEAP
ayazskhan's Repositories
ayazskhan/Machine-Learning-for-Algorithmic-Trading-Second-Edition
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
ayazskhan/dwave-hybrid
Hybrid Asynchronous Decomposition Sampler prototype framework.
ayazskhan/QCC
The Quantum Computing Codex
ayazskhan/dwave-qiskit-plugin
D-Wave Ocean plugin for IBM Qiskit.
ayazskhan/IBMQuantumChallenge2020
Quantum Challenge problem sets
ayazskhan/tequila
Rapid development of novel quantum algorithms
ayazskhan/IonQ-Demo
ayazskhan/QuantumLibraries
Q# libraries for the Quantum Development Kit
ayazskhan/amazon-braket-sdk-python
A python SDK for interacting with quantum devices via AWS.
ayazskhan/tensorflow
An Open Source Machine Learning Framework for Everyone
ayazskhan/strawberryfields
Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable (CV) quantum optical circuits.
ayazskhan/monthly-challenges
Repository containing monthly challenges about quantum computing.
ayazskhan/mitiq
Mitiq is an open source toolkit for implementing error mitigation techniques on most current intermediate-scale quantum computers.
ayazskhan/mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
ayazskhan/qrack
Comprehensive, GPU accelerated framework for developing universal virtual quantum processors
ayazskhan/ipycanvas
Interactive Canvas in Jupyter
ayazskhan/Yao.jl
Extensible, Efficient Quantum Algorithm Design for Humans.
ayazskhan/image-segmentation
Perform basic image segmentation using discrete quadratic models (DQM) and hybrid solvers.
ayazskhan/employee-scheduling
Schedule employees using a discrete quadratic model with a hybrid solver.
ayazskhan/QuIP
Quantum Integer Programming Syllabus
ayazskhan/tcs
Book in preparation: introduction to theoretical computer science
ayazskhan/qpga
Simulations of photonic quantum programmable gate arrays
ayazskhan/pyzx
Python library for quantum circuit rewriting and optimisation using the ZX-calculus
ayazskhan/toqito
|toqito> (Theory of Quantum Information Toolkit) in Python :snake:
ayazskhan/bra-ket-vue
⟨𝜑|𝜓⟩.vue - a Vue-based visualization of quantum states and operations
ayazskhan/simple-ocean-programs
Examples of introductory Ocean programs and concepts.
ayazskhan/Learn-Quantum-Computing-with-Python-and-IBM-Quantum-Experience
Learn Quantum Computing with Python and IBM Quantum Experience, published by Packt
ayazskhan/Quantum-MNIST
ayazskhan/qsim
Schrödinger and Schrödinger-Feynman simulators for quantum circuits.
ayazskhan/gpt-3
GPT-3: Language Models are Few-Shot Learners