Christian Krizan

Doctoral Student at Quantum Technology

Christian Križan is a doctoral student in quantum information processing at the Quantum Technology laboratory. His research focuses on superconducting quantum computing, with a specialisation in cryoelectronics, and its usage for setting and reading logical states in quantum processors with high numbers of qubits.

The goal is to develop electronic systems that holds up to actual scalability, which enables larger quantum computers for solving new kinds of mathematical problems. Problems that are in practice unsolvable using normal computers, for instance in medicine research, flight scheduling, cryptography and more.

As of 2019, Christian Križan is also contributing to the research program WACQT and the EU project OpenSuperQ. He has been active in teaching and student supervision since 2020, for instance in signal processing and hardware design for FPGAs.

Source: chalmers.se
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Showing 7 publications

2024

Mitigation of interfacial dielectric loss in aluminum-on-silicon superconducting qubits

Janka Biznárová, Amr Osman, Emil Rehnman et al
npj Quantum Information. Vol. 10 (1)
Journal article
2024

Signal Crosstalk in a Flip-Chip Quantum Processor

Sandoko Kosen, Hangxi Li, Marcus Rommel et al
PRX Quantum. Vol. 5 (3)
Journal article
2023

Transmon qubit readout fidelity at the threshold for quantum error correction without a quantum-limited amplifier

Liangyu Chen, Hangxi Li, Yong Lu et al
npj Quantum Information. Vol. 9 (1)
Journal article
2023

Extensive characterization and implementation of a family of three-qubit gates at the coherence limit

Christopher Warren, Jorge Fernández-Pendás, Shahnawaz Ahmed et al
npj Quantum Information. Vol. 9 (1)
Journal article
2022

Measurement and control of a superconducting quantum processor with a fully integrated radio-frequency system on a chip

Mats O. Tholén, Riccardo Borgani, Giuseppe Ruggero Di Carlo et al
Review of Scientific Instruments. Vol. 93 (10), p. 104711-
Journal article
2022

Building blocks of a flip-chip integrated superconducting quantum processor

Sandoko Kosen, Hangxi Li, Marcus Rommel et al
Quantum Science and Technology. Vol. 7 (3)
Journal article
2020

Improved Success Probability with Greater Circuit Depth for the Quantum Approximate Optimization Algorithm

Andreas Bengtsson, Pontus Vikstål, Christopher Warren et al
Physical Review Applied. Vol. 14 (3)
Journal article

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