Quantum Software and Algorithms
Quantum computing deploys the phenomena of quantum mechanics to solve complex problems that even the most powerful supercomputers cannot execute. This interdisciplinary research area is focused to achieve large-scale quantum computing from the software perspective. The main goal is to support the execution of quantum algorithms with a practical advantage. This implies that at least the following research topics will be pursued:
- (quantum) machine learning
- compilation and optimization of circuits
- efficient error-correction and fault-tolerance
- simulation of quantum circuits
IQM Quantum Computers (IQM) announced today its open-source
software tool KQCircuits to automate the design of superconducting quantum processors. KQCircuits is a Python library jointly developed by Aalto University and IQM using the KLayout design program.
The newest professor to join the department of computer science tells us about how, when you cut through all the hype, quantum computing is full of interesting challenges that unites diverse fields
Transversal injection for direct encoding of ancilla states for non-Clifford gates using stabilizer codes
Collaborative institute for research on information technology.
International research hub of AI
InstituteQ coordinates quantum technology research, education and innovation across Finland