Experimental self-characterization of quantum measurements

(2019)

Authors:

Aonan Zhang, Jie Xie, Huichao Xu, Kaimin Zheng, Han Zhang, Yiu-Tung Poon, Vlatko Vedral, Lijian Zhang

Experimental quantum homodyne tomography via machine learning

(2019)

Authors:

ES Tiunov, VV Tiunova, AE Ulanov, AI Lvovsky, AK Fedorov

Entangled resource for interfacing single- and dual-rail optical qubits

(2019)

Authors:

David Drahi, Demid V Sychev, Khurram K Pirov, Ekaterina A Sazhina, Valeriy A Novikov, Ian A Walmsley, AI Lvovsky

Emergence of Gauss' Law in a $Z_2$ Lattice Gauge Theory

ArXiv 1904.05414 (2019)

Authors:

Jernej Frank, Emilie Huffman, Shailesh Chandrasekharan

Annealing by simulating the coherent Ising machine

Optics Express Optical Society of America 27:7 (2019) 10288-10295

Authors:

Egor S Tiunov, Alexander E Ulanov, AI Lvovsky

Abstract:

The coherent Ising machine (CIM) enables efficient sampling of low-lying energy states of the Ising Hamiltonian with all-to-all connectivity by encoding the spins in the amplitudes of pulsed modes in an optical parametric oscillator (OPO). The interaction between the pulses is realized by means of measurement-based optoelectronic feedforward, which enhances the gain for lower-energy spin configurations. We present an efficient method of simulating the CIM on a classical computer that outperforms the CIM itself, as well as the noisy mean-field annealer in terms of both the quality of the samples and the computational speed. It is furthermore advantageous with respect to the CIM in that it can handle Ising Hamiltonians with arbitrary real-valued node coupling strengths. These results illuminate the nature of the faster performance exhibited by the CIM and may give rise to a new class of quantum-inspired algorithms of classical annealing that can successfully compete with existing methods.