Mendeley
TY  _  JOUR
ID  -  13960423207146967
TI  -  Optimizing Quantum Circuits by One-Way Quantum Computation Model Based on Pattern Geometries
JO  -  Nashriyyah -i Muhandisi -i Barq va Muhandisi -i Kampyutar -i Iran
JA  -  ES
LA  -  fa
SN  -  16823745
AU  -  Eslamy M.
AU  -  szamani szamani
AU  -  msedighi msedighi
AU  -  Houshmand M.
AD  -  دانشگاه صنعتی امیرکبیر
AD  -  دانشگاه صنعتی امیرکبیر
AD  -  صنعتی امیرکبیر
AD  -  دانشگاه آزاد اسلامی، واحد مشهد
Y1  -  2017
PY  -  2017
VL  -  4
IS  -  
SP  -  286
EP  -  298
KW  -  Quantum computing
measurement-based quantum computation model
 one-way quantum computations
optimization
pattern geometry
DO  -  
N2  -  A fundamentally quantum model of computation based on quantum entanglement and quantum measurement is called one-way quantum computation model (1WQC). Computations are shown by measurement patterns (or simply patterns) in this model where an initial highly entangled state called a graph state is used to perform universal quantum computations. This graph together with the set of its input and output qubits is called the geometry of the pattern. Moreover, some optimization techniques have been introduced to simplify patterns.
Previously, the 1WQC model has been applied to optimize quantum circuits.  An approach for parallelizing quantum circuits has been proposed which takes a quantum circuit and then produces the corresponding pattern after performing the proposed optimization techniques for this model. Then it translates the optimized 1WQC patterns back to quantum circuits to parallelize the initial quantum circuit by using a set of rewriting rules. 
To improve previous works, in this paper, a new automatic approach is proposed to optimize patterns based on their geometries instead of using rewriting rules by applying optimization techniques simultaneously. Moreover, the optimized pattern is translated back to a quantum circuit and then this circuit is simplified by decreasing the number of auxiliary qubits. Results show that the quantum circuit cost metrics of the proposed approach is improved as compared to the previous ones.
UR  - rimag.ir/en/Article/28217
L1  - rimag.ir/en/Article/Download/28217
ER  -  
