Funktionen

Matrix product state simulator using a machine learning library

Quantum Circuit Simulation

Quantum circuit simulation is essential for advancing quantum computing by allowing researchers to model and test quantum systems without needing physical quantum hardware. It enables the exploration of complex algorithms, error correction, and optimization strategies in a controlled environment. Simulations also help validate quantum hardware, ensuring its accuracy and reliability before deployment.

Overview task:

1. Implement a matrix product state simulator using a machine learning library (e.g. jax).
2. Validation of the simulator.
3. Benchmarking the implementation.

Prerequisites:

• Understanding quantum computing (e.g. acquired from participation in the lecture Intoduction to Quantum Computing)
• Programming knowledge in c/c++ or similar

Get in touch:

If you are interested in the topic, write a short email with your motivation and what prerequisites you fulfill or do not fulfill, to Florian Krötz, florian.kroetz@nm.ifi.lmu.de If you have questions, don't hesitate to contact me.

Duration:

• Bachelor thesis: 3 month

Supervisor:

• Florian Krötz

Aufgabensteller:

• Prof. Dr. D. Kranzlmüller

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