As in the conventional domain, decision diagrams are heavily used in different design tasks for quantum computation like synthesis, verification, or simulation.
Abstract: Quantum computation is a promising research field since it allows to conduct certain tasks exponentially faster than on conventional machines.
To the best of our knowledge, our method is the first work that utilizes the accurate representation for quantum circuit simulation. ... ... In this work, we ...
Mar 3, 2020 · In this context, decision diagrams for quantum computation provide a major pillar as they allow to efficiently represent quantum states and ...
However, current decision diagrams for the quantum domain suffer from a trade-off between accuracy and compactness, since (1) small errors that are inevitably.
People also ask
How do decision diagrams help with the simulation of quantum computations?
Are random pure states useful for quantum computation?
In this context, decision diagrams for quantum computation provide a major pillar as they allow to efficiently represent quantum states and quantum operations ...
Feb 9, 2023 · In this section, we describe how decision diagrams exploit redundancies in vectors and matrices to enable a compact representation in many cases ...
We propose to exploit this resistance against (small) errors to gain even more compact decision diagrams. In this work, we investigate the potential of ...
This work proposes a solution to overcome new problems—namely how to efficiently handle complex numbers—arising in the quantum realm, and proposes a new ...
We empirically show that the proposed approximation schemes reduce the size of decision diagrams substantially and also analytically prove the effect of ...