Quantum computers with Kerr-nonlinear parametric oscillators (KPOs) have recently been
proposed by the author and others. Quantum computation using KPOs is based on quantum …

Abstract Coherent Ising machines (CIMs) constitute a promising approach to solve
computationally hard optimization problems by mapping them to ground state searches of …

The need for solving optimization problems is prevalent in various physical applications,
including neuroscience, network design, biological systems, socio-economics, and chemical …

Spin-torque nano-oscillators (STNOs) have emerged as an intriguing category of spintronic
devices based on spin transfer torque to excite magnetic moment dynamics. The ultra-wide …

Conventional computing architectures have no known efficient algorithms for combinatorial
optimization tasks such as the Ising problem, which requires finding the ground state spin …

Combinatorial optimization problems over large and complex systems have many
applications in social networks, image processing, artificial intelligence, computational …

Many tasks in our modern life, such as planning an efficient travel, image processing and
optimizing integrated circuit design, are modeled as complex combinatorial optimization …

We present the operational principle of a coherent Ising machine (CIM) based on a
degenerate optical parametric oscillator (DOPO) network. A quantum theory of CIM is …

An optical parametric oscillator network driven by a quantum measurement-feedback circuit,
composed of optical homodyne detectors, analog-to-digital conversion devices and field …

Coupled semiconductor lasers are systems possessing complex dynamics that are
interesting for numerous applications in photonics. In this work, we investigate the existence …