Quantum computing

Quantum computers differ significantly traditional computers when it comes to basic computational operators and operating principles. As a result, quantum computers are able to solve certain computational problems considerably faster than classical supercomputers. In order to exploit this quantum advantage, programs and algorithms tailor-made for quantum processing units (QPUs) need to be developed.

CSC provides access to the Finnish Quantum Computing Infrastructure. Through LUMI, users can access Quantum computers hosted by the VTT Technical Research Centre of Finland. A platform of integrated HPC and quantum computing enables the development of hybrid algorithms, which provide a computational advantage in the near future. Additionally, users have access to powerful classical resources for simulating quantum algorithms in both ideal and realistic, noisy conditions.

Resources

Helmi: The Finnish 5 qubit quantum computer located at VTT premises in Espoo. Suitable for testing simple quantum algorithms and for education purposes.
Kvasi: The Quantum Learning Machine, is a quantum computing simulator with which you can learn to use and develop new quantum algorithms up to 30+ qubits.
LUMI: Simulating quantum algorithms with a large number of qubits is computationally expensive. LUMI can enable fast, 40+ qubit state vector simulations using parallelization and GPU acceleration.

Software

Quantum Software Development Kits (SDK): We support Qiskit, Cirq and Pennylane, which are Python-based open-source SDKs for writing and executing quantum programs, as well as a large collection of tools for optimizing quantum and simulating quantum circuits.
IQM-adapters: For Qiskit and Cirq, we also support qiskit-iqm and cirq-iqm adapters, which allow submitting jobs to Helmi quantum computer and enable using hardware-tailored optimization methods.
Singularity containers: To perform HPC-scale simulations, we provide Qiskit supported containers built for native MPI of LUMI supercomputer, enabling multi node simulations, as well as AMD GPU acceleration for selected simulation methods.

Training

CSC organizes courses on quantum computing, where participants learn to write quantum programs and run them on real quantum computers. We organize courses for beginners where no previous experience is required, as well as advanced training for more experienced users. For upcoming courses, see our training calendar.

Access

The usage of quantum computers is measured using separate resources (QPU hours). To access the quantum computer Helmi, researchers can submit a quantum computing project proposal for the supercomputer LUMI in the My CSC portal. Read more in Docs CSC.

Business use is also possible.