2023/11: Quantum Explorers 2023 proud to say - completed with flying colors (so far), Supreme Observer badge will launch on November 28, 2023! Quantum Explorers Theme Music Video
Starting on November 29, 2023, Qiskit Documentation and Qiskit educational resources will live on IBM Quantum Platform and will be removed from Qiskit.org
2023/11: Qiskit 0.45 release https://twitter.com/qiskit/status/1721592588774293664
2023/06: For the first time, IBM is making a 127-qubit quantum computer available publicly over IBM Cloud.
I recently discovered IBM Quantum 2022 Updated Development Roadmap and was amazed of the recent developments and new possibilities.
I did not waste the time reading Quantum computer programming for dummies published via Los Alamos National Laboratory LANL news because I thought that better was learning by trying ;)
For easy viewing without install and for the test of the new Github's Math support in markdown I prepared some jupyter notebooks markdown conversions. Check directories below:
- qiskit-finance - original repository
- qiskit-machine-learning - original repository
- qiskit-nature - original repository
- qiskit-optimization - original repository
- qiskit-textbook - original repository
IBM Quantum computing registration is required for some examples, and is recommended for further experiments too. Also you do not need to install anything and just use the cloud. It is free for basic tasks, simulations, 7 qubits physical hardware too, there is a pay-as-you-go plan for 27 qubit hardware available now (2022/7) also.
If a local install is preferred, using Ubuntu 20.04 container with python worked well. I had some success with CUDA enabled cuQuantum Appliance 22.03-cirq from Nvidia too, but sometimes I was not able to start GPU accelerated IBM's Qiskit Aer backend properly.
Start the container:
# For Nvidia GPU:
IMG=nvcr.io/nvidia/cuquantum-appliance:22.03-cirq
docker run -it --network host --name quantum --rm --gpus all -v$(pwd):/shared --ipc=host --ulimit memlock=-1 --ulimit stack=67108864 $IMG bash
# Without Nvidia GPU
IMG=ubuntu:20.04
docker run -it --network host --name quantum --rm --gpus all -v$(pwd):/shared $IMG bashInstall requirements:
apt update && apt -y install mc zstd sudo iputils-ping net-tools curl wget less iproute2 netcat gnupg git python3-pip
apt-key adv --keyserver keyserver.ubuntu.com --recv-keys A4B469963BF863CC
pip install nvidia-pyindex -U
pip install jupyterlab pillow==6.2.2 matplotlib ipywidgets
jupyter nbextension enable --py widgetsnbextension # - Validating: OK
pip install numpy==1.22.4 docplex pylatexenc gurobipy cplex sparse torch torchvision pyscf
pip install qiskit-terra qiskit-aer qiskit_ibmq_provider
pip install qiskit-finance qiskit-experiments qiskit-machine-learning qiskit-natureClone any repo of interest e.g. Qiskit tutorials, go to qiskit-tutorials/docs/tutorials
and start Jupyter Lab via jupyter lab --allow-root --ip 0.0.0.0
For some experiments you need to configure your IBMQ account.
Good luck and May the Force be with you!