Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
90 tokens/sec
Gemini 2.5 Pro Premium
54 tokens/sec
GPT-5 Medium
19 tokens/sec
GPT-5 High Premium
18 tokens/sec
GPT-4o
104 tokens/sec
DeepSeek R1 via Azure Premium
78 tokens/sec
GPT OSS 120B via Groq Premium
475 tokens/sec
Kimi K2 via Groq Premium
225 tokens/sec
2000 character limit reached

Mixed graph states (1506.03635v2)

Published 11 Jun 2015 in quant-ph

Abstract: We have generalised the concept of graph states to what we have called mixed graph states, which we define in terms of mixed graphs, that is graphs with both directed and undirected edges, as the density matrix stabilized by the associated stabilizer matrix defined by the mixed graph. We can interpret this matrix as a quantum object by making it part of a larger fully commuting matrix, i.e. where we choose the environment appropriately, and this will imply that our quantum object is a mixed state. We prove that, in the same way as (pure) graph states, the density matrix of a parent of mixed graph state can be written as sum of a few Pauli matrices, well defined from the mixed graph. We have proven that the set of matrices that appear in this sum is fully pair-wise commuting, and form a multiplicative group up to global constants, which is always of maximum size. Furthermore, the cardinality of the set depends solely of the miminum possible number of extension columns/rows, and the number of nodes of the mixed graph. We prove a formula for this cardinality. Finally, in the case of purely undirected graphs, this corresponds to the usual pure graph state. Also, we have developed a way of finding maximal commutative group of such Pauli matrices as a linear subspace problem, for any given mixed graph. We also have proven how the structure of maximal commutative groups is independent of the direction of the arrows of the mixed graph, and also of the undirected edges; this allows the simplification of the problem of finding these groups in general to finding them for a much smaller set of graphs.

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-up Questions

We haven't generated follow-up questions for this paper yet.