scholarly journals Controlled coherent dynamics of [VO(TPP)], a prototype molecular nuclear qudit with an electronic ancilla

2021 ◽  
Author(s):  
Simone Chicco ◽  
Alessandro Chiesa ◽  
Giuseppe Allodi ◽  
Elena Garlatti ◽  
Matteo Atzori ◽  
...  
Keyword(s):  
Quantum Computation ◽  
Nuclear Spin ◽  
Coherent Dynamics ◽  
Multi Level ◽  
Computation Algorithms

We show that [VO(TPP)] (vanadyl tetraphenylporphyrinate) is a promising system to implement quantum computation algorithms based on encoding information in multi-level (qudit) units. Indeed, it embeds a nuclear spin 7/2...

scholarly journals Femtosecond Laser Direct Writing of Integrated Photonic Quantum Chips for Generating Path-Encoded Bell States

Micromachines ◽  
2020 ◽  
Vol 11 (12) ◽  
pp. 1111
Author(s):  
Meng Li ◽  
Qian Zhang ◽  
Yang Chen ◽  
Xifeng Ren ◽  
Qihuang Gong ◽  
...  
Keyword(s):  
Femtosecond Laser ◽  
Quantum Computation ◽  
Logic Gates ◽  
Quantum Circuit ◽  
Bell States ◽  
Direct Writing ◽  
Laser Direct Writing ◽  
Quantum Logic Gates ◽  
Complex Circuits ◽  
Computation Algorithms

Integrated photonic quantum chip provides a promising platform to perform quantum computation, quantum simulation, quantum metrology and quantum communication. Femtosecond laser direct writing (FLDW) is a potential technique to fabricate various integrated photonic quantum chips in glass. Several quantum logic gates fabricated by FLDW have been reported, such as polarization and path encoded quantum controlled-NOT (CNOT) gates. By combining several single qubit gates and two qubit gates, the quantum circuit can realize different functions, such as generating quantum entangled states and performing quantum computation algorithms. Here we demonstrate the FLDW of integrated photonic quantum chips composed of one Hadamard gate and one CNOT gate for generating all four path-encoded Bell states. The experimental results show that the average fidelity of the reconstructed truth table reaches as high as 98.8 ± 0.3%. Our work is of great importance to be widely applied in many quantum circuits, therefore this technique would offer great potential to fabricate more complex circuits to realize more advanced functions.

Quantum computation: Algorithms and Applications

2021 ◽  
Author(s):  
Chien-Hung Cho ◽  
Chih-Yu Chen ◽  
Kuo-Chin Chen ◽  
Tsung-Wei Huang ◽  
Ming-Chien Hsu ◽  
...  
Keyword(s):  
Quantum Computation ◽  
Computation Algorithms

Coherent Dynamics of Coupled Electron and Nuclear Spin Qubits in Diamond

Science ◽  
2006 ◽  
Vol 314 (5797) ◽  
pp. 281-285 ◽  
Author(s):  
L. Childress ◽  
M. V. Gurudev Dutt ◽  
J. M. Taylor ◽  
A. S. Zibrov ◽  
F. Jelezko ◽  
...  
Keyword(s):  
Nuclear Spin ◽  
Spin Qubits ◽  
Coherent Dynamics

scholarly journals Scalable quantum computation scheme based on quantum-actuated nuclear-spin decoherence-free qubits

2017 ◽  
Vol 96 (20) ◽  
Author(s):  
Lihong Dong ◽  
Xing Rong ◽  
Jianpei Geng ◽  
Fazhan Shi ◽  
Zhaokai Li ◽  
...  
Keyword(s):  
Quantum Computation ◽  
Nuclear Spin ◽  
Spin Decoherence ◽  
Computation Scheme

Neuromorphic Adiabatic Quantum Computation

2009 ◽  
pp. 352-375
Author(s):  
Shigeo Sato ◽  
Mitsunaga Kinjo
Keyword(s):  
Neural Networks ◽  
Quantum Computation ◽  
Quantum Dynamics ◽  
Quantum Computer ◽  
Quantum Algorithm ◽  
Descent Method ◽  
Gradient Descent Method ◽  
Quantum Superposition ◽  
Adiabatic Quantum Computation ◽  
Computation Algorithms

The advantage of quantum mechanical dynamics in information processing has attracted much interest, and dedicated studies on quantum computation algorithms indicate that a quantum computer has remarkable computational power in certain tasks. Quantum properties such as quantum superposition and quantum tunneling are worth studying because they may overcome the weakness of gradient descent method in classical neural networks. Also, the technique established for neural networks can be useful for developing a quantum algorithm. In this chapter, first the authors show the effectiveness of incorporating quantum dynamics and then propose neuromorphic adiabatic quantum computation algorithm based on the adiabatic change of Hamiltonian. The proposed method can be viewed as one of complex-valued neural networks because a qubit operates like a neuron. Next, the performance of the proposed algorithm is studied by applying it to a combinatorial optimization problem. Finally, they discuss the learning ability and hardware implementation.

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