scholarly journals Window optimization of reversible and quantum circuits

2010 ◽  
Author(s):  
Mathias Soeken ◽  
Robert Wille ◽  
Gerhard W. Dueck ◽  
Rolf Drechsler
Keyword(s):  
Quantum Circuits

scholarly journals Andreev Probe of Persistent Current States in Superconducting Quantum Circuits

2005 ◽  
Vol 95 (14) ◽  
Author(s):  
V. T. Petrashov ◽  
K. G. Chua ◽  
K. M. Marshall ◽  
R. Sh. Shaikhaidarov ◽  
J. T. Nicholls
Keyword(s):  
Persistent Current ◽  
Quantum Circuits ◽  
Superconducting Quantum Circuits

scholarly journals Quantum circuits cannot control unknown operations

2014 ◽  
Vol 16 (9) ◽  
pp. 093026 ◽  
Author(s):  
Mateus Araújo ◽  
Adrien Feix ◽  
Fabio Costa ◽  
Časlav Brukner
Keyword(s):  
Quantum Circuits

scholarly journals Fully in situ Nb/InAs-nanowire Josephson junctions by selective-area growth and shadow evaporation

2021 ◽  
Author(s):  
Pujitha Perla ◽  
H. Aruni Fonseka ◽  
Patrick Zellekens ◽  
Russell Deacon ◽  
Yisong Han ◽  
...  
Keyword(s):  
Magnetic Fields ◽  
Josephson Junctions ◽  
Quantum Circuits ◽  
Selective Area Growth ◽  
Selective Area ◽  
Area Growth ◽  
Shadow Evaporation ◽  
Superconducting Quantum Circuits

Nb/InAs-nanowire Josephson junctions are fabricated in situ by a special shadow evaporation scheme for the superconducting Nb electrode. The junctions are interesting candidates for superconducting quantum circuits requiring large magnetic fields.

scholarly journals A verified optimizer for Quantum circuits

2021 ◽  
Vol 5 (POPL) ◽  
pp. 1-29
Author(s):  
Kesha Hietala ◽  
Robert Rand ◽  
Shih-Han Hung ◽  
Xiaodi Wu ◽  
Michael Hicks
Keyword(s):  
Quantum Circuits

scholarly journals Solving nonlinear differential equations with differentiable quantum circuits

2021 ◽  
Vol 103 (5) ◽  
Author(s):  
Oleksandr Kyriienko ◽  
Annie E. Paine ◽  
Vincent E. Elfving
Keyword(s):  
Differential Equations ◽  
Nonlinear Differential Equations ◽  
Quantum Circuits

scholarly journals Connectivity matrix model of quantum circuits and its application to distributed quantum circuit optimization

2021 ◽  
Vol 20 (7) ◽  
Author(s):  
Ismail Ghodsollahee ◽  
Zohreh Davarzani ◽  
Mariam Zomorodi ◽  
Paweł Pławiak ◽  
Monireh Houshmand ◽  
...  
Keyword(s):  
Quantum Computation ◽  
Quantum Computer ◽  
Quantum Circuit ◽  
Quantum Circuits ◽  
Connectivity Matrix ◽  
Circuit Optimization ◽  
Novel Approach ◽  
The Matrix ◽  
Minimum Number ◽  
Two Phases

AbstractAs quantum computation grows, the number of qubits involved in a given quantum computer increases. But due to the physical limitations in the number of qubits of a single quantum device, the computation should be performed in a distributed system. In this paper, a new model of quantum computation based on the matrix representation of quantum circuits is proposed. Then, using this model, we propose a novel approach for reducing the number of teleportations in a distributed quantum circuit. The proposed method consists of two phases: the pre-processing phase and the optimization phase. In the pre-processing phase, it considers the bi-partitioning of quantum circuits by Non-Dominated Sorting Genetic Algorithm (NSGA-III) to minimize the number of global gates and to distribute the quantum circuit into two balanced parts with equal number of qubits and minimum number of global gates. In the optimization phase, two heuristics named Heuristic I and Heuristic II are proposed to optimize the number of teleportations according to the partitioning obtained from the pre-processing phase. Finally, the proposed approach is evaluated on many benchmark quantum circuits. The results of these evaluations show an average of 22.16% improvement in the teleportation cost of the proposed approach compared to the existing works in the literature.

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