Abstract
Quantum computation is a radical new candidate for a technology that is capable to make a paradigm shift in information processing. However, current promising devices are limited in performance due to many decoherence mechanisms. Quantum computer simulators are thus important for understanding and solving existing problems of the current noisy intermediate-scale quantum (NISQ) processors. In this work, we present Psitrum - a universal gate-model based quantum computer simulator implemented on classical hardware. The simulator allows to emulate and debug quantum algorithms in form of quantum circuits for many applications with the choice of adding quantum noise that limit coherence of quantum circuits. Psitrum allows to keep track of quantum operations and density matrices, and provides variety of unique visualisation tools. The simulator allows to trace out all possible quantum states at each stage M of an N-qubit implemented quantum circuit. The design of Psitrum is flexible and allows users later to add their special quantum gates and variety of noise modules.
Original language | English |
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Title of host publication | Proceedings - 2022 IEEE International Conference on Quantum Computing and Engineering, QCE 2022 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 837-838 |
Number of pages | 2 |
ISBN (Electronic) | 9781665491136 |
DOIs | |
State | Published - 2022 |
Event | 3rd IEEE International Conference on Quantum Computing and Engineering, QCE 2022 - Broomfield, United States Duration: 18 Sep 2022 → 23 Sep 2022 |
Publication series
Name | Proceedings - 2022 IEEE International Conference on Quantum Computing and Engineering, QCE 2022 |
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Conference
Conference | 3rd IEEE International Conference on Quantum Computing and Engineering, QCE 2022 |
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Country/Territory | United States |
City | Broomfield |
Period | 18/09/22 → 23/09/22 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Keywords
- Quantum computation, quantum simulation, universal quantum circuit simulators, quantum algorithms
ASJC Scopus subject areas
- Artificial Intelligence
- Computational Theory and Mathematics
- Computer Science Applications
- Control and Optimization
- Atomic and Molecular Physics, and Optics